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Level (logarithmic quantity)
View on Wikipediafrom Wikipedia
In science and engineering, a power level and a field level (also called a root-power level) are logarithmic magnitudes of certain quantities referenced to a standard reference value of the same type.
- A power level is a logarithmic quantity used to measure power, power density or sometimes energy, with commonly used unit decibel (dB).
- A field level (or root-power level) is a logarithmic quantity used to measure quantities of which the square is typically proportional to power (for instance, the square of voltage is proportional to power by the inverse of the conductor's resistance), etc., with commonly used units neper (Np) or decibel (dB).
The type of level and choice of units indicate the scaling of the logarithm of the ratio between the quantity and its reference value, though a logarithm may be considered to be a dimensionless quantity.[1][2][3] The reference values for each type of quantity are often specified by international standards.
Power and field levels are used in electronic engineering, telecommunications, acoustics and related disciplines. Power levels are used for signal power, noise power, sound power, sound exposure, etc. Field levels are used for voltage, current, sound pressure.[4][clarification needed]
Power level
[edit]Level of a power quantity, denoted LP, is defined by
where
- P is the power quantity;
- P0 is the reference value of P.
Field (or root-power) level
[edit]The level of a root-power quantity (also known as a field quantity), denoted LF, is defined by[5]
where
- F is the root-power quantity, proportional to the square root of power quantity;
- F0 is the reference value of F.
If the power quantity P is proportional to F2, and if the reference value of the power quantity, P0, is in the same proportion to F02, the levels LF and LP are equal.
The neper, bel, and decibel (one tenth of a bel) are units of level that are often applied to such quantities as power, intensity, or gain.[6] The neper, bel, and decibel are related by[7]
- 1 B = 1/2 loge10 Np;
- 1 dB = 0.1 B = 1/20 loge10 Np.
Standards
[edit]Level and its units are defined in ISO 80000-3.
The ISO standard defines each of the quantities power level and field level to be dimensionless, with 1 Np = 1. This is motivated by simplifying the expressions involved, as in systems of natural units.
Related quantities
[edit]Logarithmic ratio quantity
[edit]Power and field quantities are part of a larger class, logarithmic ratio quantities.
ANSI/ASA S1.1-2013 defines a class of quantities it calls levels. It defines a level of a quantity Q, denoted LQ, as[8]
where
- r is the base of the logarithm;
- Q is the quantity;
- Q0 is the reference value of Q.
For the level of a root-power quantity, the base of the logarithm is r = e. For the level of a power quantity, the base of the logarithm is r = e2.[9]
Logarithmic frequency ratio
[edit]The logarithmic frequency ratio (also known as frequency level) of two frequencies is the logarithm of their ratio, and may be expressed using the unit octave (symbol: oct) corresponding to the ratio 2 or the unit decade (symbol: dec) corresponding to the ratio 10:[7]
In music theory, the octave is a unit used with logarithm base 2 (called interval).[10] A semitone is one twelfth of an octave. A cent is one hundredth of a semitone. In this context, the reference frequency is taken to be C0, four octaves below middle C.[11]
See also
[edit]Notes
[edit]- ^ IEEE/ASTM SI 10 2016, pp. 26–27.
- ^ ISO 80000-3 2006.
- ^ Carey 2006, pp. 61–75.
- ^ ISO 80000-8 2007.
- ^ D'Amore 2015.
- ^ Taylor 1995.
- ^ a b Ainslie, Halvorsen & Robinson 2022.
- ^ ANSI/ASA S1.1 2013, entry 3.01.
- ^ Ainslie 2015.
- ^ Fletcher 1934, pp. 59–69.
- ^ ANSI/ASA S1.1 2013.
References
[edit]- Fletcher, H. (1934), "Loudness, pitch and the timbre of musical tones and their relation to the intensity, the frequency and the overtone structure", Journal of the Acoustical Society of America, 6 (2): 59, Bibcode:1934ASAJ....6...59F, doi:10.1121/1.1915704
- Taylor, Barry (1995), Guide for the Use of the International System of Units (SI): The Metric System, Diane Publishing Co., p. 28, ISBN 9780788125799
- ISO 80000-3: Quantities and units, vol. Part 3: Space and Time, International Organization for Standardization, 2006
- Carey, W. M. (2006), "Sound Sources and Levels in the Ocean", IEEE Journal of Oceanic Engineering, 31 (1): 61, Bibcode:2006IJOE...31...61C, doi:10.1109/JOE.2006.872214, S2CID 30674485
- ISO 80000-8: Quantities and units, vol. Part 8: Acoustics, International Organization for Standardization, 2007
- E.R. Cohen et al. (2008). Quantities, Units and Symbols in Physical Chemistry : IUPAC Green Book. 3rd Edition, 2nd Printing. Cambridge: IUPAC & RSC Publishing. ISBN 0-85404-433-7. pp. 98–99. Electronic version.
- ANSI/ASA S1.1: Acoustical Terminology, vol. ANSI/ASA S1.1-2013, Acoustical Society of America, 2013
- Ainslie, Michael A. (2015), "A Century of Sonar: Planetary Oceanography, Underwater Noise Monitoring, and the Terminology of Underwater Sound", Acoustics Today, 11 (1)
- D'Amore, F. (2015), Effect of moisturizer and lubricant on the finger‒surface sliding contact: tribological and dynamical analysis
- IEEE/ASTM SI 10: American National Standard for Metric Practice, IEEE Standards Association, 2016
- Ainslie, Michael A.; Halvorsen, Michele B.; Robinson, Stephen P. (January 2022) [2021-11-09]. "A terminology standard for underwater acoustics and the benefits of international standardization". IEEE Journal of Oceanic Engineering. 47 (1). IEEE: 179–200. Bibcode:2022IJOE...47..179A. doi:10.1109/JOE.2021.3085947. eISSN 1558-1691. ISSN 0364-9059. S2CID 243948953. [1] (22 pages)
- ISO 18405:2017 Underwater acoustics – Terminology, International Organization for Standardization, 2022 [2017], retrieved 2022-12-20
Level (logarithmic quantity)
View on Grokipediafrom Grokipedia
In physics and engineering, a level is a dimensionless logarithmic quantity that expresses the ratio of a physical quantity—such as power, amplitude, or intensity—to a specified reference quantity of the same kind, facilitating the representation of phenomena with vast dynamic ranges.[1] These levels are commonly encountered in fields like acoustics, electronics, and telecommunications, where they quantify ratios such as signal gain, sound pressure, or electrical power relative to a standard threshold.[2]
There are two primary types of levels: the level of a power quantity (denoted ), which applies to quantities like power and is defined as in nepers (where is the reference power), and the level of a field quantity (denoted ), which applies to amplitudes like voltage or pressure and is defined as in nepers (where is the reference amplitude).[1] The factor of in the power level accounts for the quadratic relationship between power and field quantities, ensuring consistency between the two scales.[1] In practice, levels are often expressed using base-10 logarithms for the bel (B) or decibel (dB) units: dB and dB, with 1 B = 10 dB and 1 neper ≈ 8.686 dB for power levels.[1][2]
The bel unit, introduced in the 1920s at Bell Telephone Laboratories to measure signal attenuation in telephone systems, honors Alexander Graham Bell and uses the common logarithm for ratios of power quantities.[3] The decibel, a subunit equal to 0.1 bel, became prevalent due to its finer granularity and the human ear's approximate 1 dB just-noticeable difference in sound levels.[3][2] The neper, named after mathematician John Napier for its use of the natural logarithm, serves as a coherent derived unit in the International System of Units (SI) for expressing such logarithmic ratios, particularly in amplitude-based measurements.[4] Notable applications include sound pressure level (e.g., 0 dB re 20 μPa as the hearing threshold) and voltage level (e.g., relative to 1 μV), enabling compact notation for ratios spanning orders of magnitude, such as the 10^{12}-fold range in auditory perception.[1][2]
where is the measured quantity (such as amplitude) and is the reference quantity.[25] For field quantities like voltage or pressure, this corresponds to an amplitude ratio Np. For power quantities, accounting for the quadratic relationship between power and field (P ∝ F²), the level is Np.[1] The neper derives from the natural logarithm, which naturally describes exponential processes such as decay in waves and filters. For instance, in wave propagation, the amplitude decays as , where is the attenuation coefficient in nepers per unit length and is distance, yielding a level of Np.[26] This formulation simplifies analytical treatment of exponential behaviors compared to base-10 logarithms. Conversion between nepers and decibels (dB) arises from the difference in logarithmic bases. For both field and power quantities (using the consistent scaling), 1 Np = dB ≈ 8.686 dB, derived as follows: since the dB level is for fields (and equivalently for power with the 1/2 factor), the factor equates the scales.[1][27] Named after Scottish mathematician John Napier (1550–1617), inventor of logarithms, the neper was first recorded in scientific literature around the 1920s and gained formal recognition through international bodies in the late 20th century.[28] The International Union of Pure and Applied Physics (IUPAP) recommended its use as a dimensionless derived SI unit in 1998, and it was accepted for use with the SI by the General Conference on Weights and Measures (CGPM) in 1999, though it remains less common than the decibel in empirical measurements.[29][25] The neper's alignment with the base- exponential function offers mathematical advantages in fields requiring calculus-based analysis. In control theory, the real part of a system's pole in the s-plane (Laplace domain) represents damping in nepers per second, facilitating direct computation of transient responses in transfer functions like , where is the neper frequency.[30] In acoustics, it simplifies modeling of attenuation in media, as the coefficient in Np/m directly yields the level drop via natural exponentials, aiding analysis of viscous losses in fluids.[31] These properties make the neper preferable in theoretical derivations over base-10 units, despite the decibel's prevalence in practical engineering.[27]
where and are the higher and lower frequencies, respectively. This unit divides the octave—corresponding to —into 1200 equal parts, with a semitone approximating cents or octave. Such scaling reflects the logarithmic nature of pitch perception, where equal ratios produce perceptually equivalent intervals.[48] In psychoacoustics, the Bark scale models the auditory system's critical bands by mapping frequency to a logarithmic-like transformation, originating from Zwicker's 1961 subdivision of the audible range into 24 bands.[49] Each Bark unit approximates the width of a critical band, transitioning from linear spacing at low frequencies (below 500 Hz) to logarithmic compression at higher frequencies, simulating cochlear filtering.[49] This scale underpins models of masking and loudness, enhancing perceptual accuracy in audio processing. Engineering applications employ logarithmic frequency scales, such as decades (ratios of 10:1), for spectral analysis, particularly in plots using fast Fourier transform (FFT) methods.[50] The Cooley-Tukey algorithm of 1965 enabled efficient FFT computation, promoting log-frequency axes in post-1950s spectra to visualize broadband signals from audio to vibration analysis.[51] These scales compress wide frequency ranges, highlighting harmonic structures and resonances proportionally.[50] Logarithmic frequency ratios relate to sound levels through equal-loudness contours, as standardized in ISO 226, which plots perceived loudness across frequencies on a logarithmic axis to account for the ear's varying sensitivity.[52] For instance, contours show that mid-frequencies require lower sound pressure levels for equal perceived loudness compared to extremes, integrating frequency ratios with amplitude perception.[53] In the 2020s, extensions to auditory models in AI sound processing have incorporated logarithmic frequency scales, such as the Mel scale (a perceptual approximation similar to Bark), to improve neural networks for speech enhancement and synthesis.[54][55] These models use multi-band logarithmic decompositions to mimic human hearing, achieving better psychoacoustic fidelity in tasks like bandwidth extension and voice generation. Logarithmic frequency ratios thus bridge traditional acoustics with modern AI, optimizing computational efficiency and perceptual relevance.
Fundamentals
Definition
In engineering and physics, a level is a dimensionless quantity that expresses the ratio of a physical quantity to a reference value using a logarithmic scale, enabling the representation of phenomena with vast dynamic ranges in a compact and manageable form.[5] This logarithmic approach is particularly valuable when dealing with ratios spanning many orders of magnitude, as it aligns with perceptual responses in fields like acoustics and electronics, where small relative changes can be perceptually significant.[6] For instance, in acoustics, sound intensities encountered in human hearing vary from as low as W/m² (the threshold of audibility) to around 1 W/m² (near the threshold of pain), a range of 12 orders of magnitude that would be impractical to plot or analyze on a linear scale.[7] The concept originated in the 1920s, when engineers at Bell Telephone Laboratories developed it for telephony applications to quantify signal transmission losses and gains more intuitively than prior linear measures like the mile of standard cable (MSC).[8] Initially termed the transmission unit (TU), it was redefined in 1928 and renamed the decibel in 1929, marking its first widespread use for audio signal levels in communication systems.[8] This innovation stemmed from the need to handle the multiplicative nature of signal propagation, where linear scales lead to cumbersome additions of large numbers, whereas logarithmic levels convert such multiplications into simpler additions.[9] Unlike linear scales, where quantities are added directly and ratios are computed as simple divisions, logarithmic levels transform multiplicative relationships—common in power or amplitude ratios—into additive operations in log space, facilitating easier computation and visualization of relative changes across broad scales.[6] This property is essential for applications such as measuring audio volume, where perceived loudness follows a roughly logarithmic response to intensity, and signal strength in telecommunications, where attenuation over distances can span decades without overwhelming numerical complexity.[10] Levels thus provide a standardized way to compare quantities relative to references, with power levels and root-power levels representing common variants tailored to specific physical contexts.[11]Mathematical Basis
The mathematical foundation of a level as a logarithmic quantity rests on the use of logarithms to express ratios of physical quantities, enabling the compression of wide dynamic ranges into more manageable scales. The general formula for a level is given by where is a scaling constant that adjusts the magnitude, is the base of the logarithm, is the measured quantity, and is a reference quantity of the same kind.[1] This form arises because physical quantities like power or amplitude often span orders of magnitude, and taking the logarithm of their ratio relative to a standard reference normalizes variations, turning multiplicative relationships into additive ones.[12] A defining property of levels is their additivity under multiplication of the underlying quantities, which is particularly useful in cascaded systems such as signal chains where overall response is the product of individual responses. For instance, if the total quantity (with the same reference for each), then , directly following from the logarithmic identity .[12] This derivation highlights why ratios are employed: absolute values are context-dependent and impractical for comparison across systems, whereas ratios focus on relative changes, making levels dimensionless and independent of units when properly defined.[1] The choice of base influences the scale's interpretability and application. Base 10 (common logarithm) is preferred in measurement contexts for its alignment with decimal systems and human perceptual scaling, where increments correspond to "decades" (factors of 10) that approximate sensory responses across orders of magnitude.[13] In contrast, base (natural logarithm) offers mathematical convenience, as its derivatives and integrals simplify in analytical computations.[14] Logarithms impose constraints due to their domain: the arguments must be positive real numbers, rendering levels undefined for zero or negative quantities. This necessitates careful handling, such as establishing absolute thresholds (e.g., noise floors) or using limiting conventions to avoid mathematical singularities in practical measurements.[14]Types of Levels
Power Level
The power level is a logarithmic measure of a power quantity relative to a reference power, commonly used in energy-based fields such as radio engineering, acoustics, and optics to express ratios of powers like electrical power or acoustic intensity.[15] It quantifies how much stronger or weaker one power is compared to another on a compressed scale, facilitating the handling of wide dynamic ranges in signal processing and system design.[16] The power level in decibels (dB) is defined by the formula where is the measured power and is the reference power. In audio engineering, for instance, is typically 1 mW (0 dBm), providing a standard benchmark for signal strengths in professional equipment.[15] This factor of 10 in the formula, rather than 20, stems from the relationship between power and amplitude: power is proportional to the square of the amplitude (a root-power quantity), so . Thus, multiplying by 10 yields the same numerical value as the amplitude level's , ensuring equivalence across related measures.[17] A key application is the signal-to-noise ratio (SNR), defined as the power level difference between signal power and noise power : in dB, with values above 20 dB indicating clear reception in communications systems.[18] In radar, power levels express transmitted or received energies, often in dBm, where a 1 MW peak power equates to +90 dBm, enabling detection over vast distances.[19] For audio, typical power levels span -30 dB (near silence) to +30 dB (intense peaks) relative to 0 dBm, though the human ear perceives a dynamic range of approximately 120 dB.[20] In contrast, root-power levels apply a factor of 20 for amplitude-based quantities like voltage.[21]Root-Power Level
The root-power level, also known as the field level, is a logarithmic measure used to quantify ratios of field quantities such as amplitudes in wave propagation, where the associated power is proportional to the square of the field quantity.[1][22] This approach is particularly applicable in contexts like acoustics, electrical engineering, and electromagnetism, where direct measurement of power may be impractical, and field amplitudes (e.g., pressure or voltage) provide a more accessible metric.[1] The formula for the root-power level of a field quantity relative to a reference value is given by in decibels (dB).[1][22] Here, is chosen based on the physical context, such as 20 µPa for sound pressure in air to align with human auditory thresholds.[22] For instance, a sound pressure of 20 µPa yields dB re 20 µPa.[1] The factor of 20 in this expression derives from the quadratic relationship between field quantities and power, where power .[22] Taking the logarithm, , so the power level formula dB transforms to dB for the equivalent field level, ensuring numerical consistency when squaring the field yields power.[1][22] In practice, root-power levels distinguish from direct power measures by applying to non-squared amplitudes; for example, microphone sensitivity is often expressed as -38 dB re 1 V/Pa, indicating the voltage output per unit sound pressure input relative to 1 volt per pascal.[23] Similarly, electromagnetic field strengths, such as electric field amplitudes in volts per meter (V/m), use this scale to quantify wave intensities without computing power densities explicitly.[22] This formulation maintains equivalence to power levels under the squaring relation but emphasizes field-based observations in propagation scenarios.[1]Units of Measurement
Bel and Decibel
The bel is the fundamental unit of a common logarithm (base-10) level, defined as bels, where is the measured quantity (such as power) and is the reference quantity.[8] This unit quantifies ratios on a logarithmic scale, originally developed to express relative changes in signal strength.[8] The bel is named in honor of Alexander Graham Bell, the inventor of the telephone, reflecting its origins in telecommunications engineering.[8] For practical applications, the decibel (dB) serves as a subunit of the bel, where 1 bel equals 10 decibels, yielding the formula dB.[8] This scaling factor of 10 was chosen to provide finer granularity in measurements, as the bel's range often results in fractional values unsuitable for everyday engineering use, while the decibel allows convenient expression of small variations, such as those around 1 dB corresponding to barely perceptible changes in signal or sound intensity.[8] The bel and decibel were introduced in 1924 by engineers at AT&T's Bell Laboratories as a replacement for the "mile of standard cable" unit, specifically to quantify transmission loss in telephone circuits.[8] This innovation facilitated more precise assessments of signal attenuation over long distances, addressing the needs of expanding telephony networks.[8] Although not part of the International System of Units (SI), the decibel gained widespread acceptance through standardization efforts in the 1930s, including tentative American Standards Association (ASA) approvals in 1935 for noise measurement (Z24.2) and sound level meters (Z24.3).[24] In usage, positive decibel values typically indicate gain or levels above the reference (e.g., amplification), while negative values denote loss or levels below the reference (e.g., attenuation), a convention rooted in telephony but applied broadly in acoustics and electronics.Neper
The neper (symbol: Np) is a dimensionless unit used to express the level of a physical quantity as a logarithmic ratio based on the natural logarithm. It is defined such that the level in nepers is given bywhere is the measured quantity (such as amplitude) and is the reference quantity.[25] For field quantities like voltage or pressure, this corresponds to an amplitude ratio Np. For power quantities, accounting for the quadratic relationship between power and field (P ∝ F²), the level is Np.[1] The neper derives from the natural logarithm, which naturally describes exponential processes such as decay in waves and filters. For instance, in wave propagation, the amplitude decays as , where is the attenuation coefficient in nepers per unit length and is distance, yielding a level of Np.[26] This formulation simplifies analytical treatment of exponential behaviors compared to base-10 logarithms. Conversion between nepers and decibels (dB) arises from the difference in logarithmic bases. For both field and power quantities (using the consistent scaling), 1 Np = dB ≈ 8.686 dB, derived as follows: since the dB level is for fields (and equivalently for power with the 1/2 factor), the factor equates the scales.[1][27] Named after Scottish mathematician John Napier (1550–1617), inventor of logarithms, the neper was first recorded in scientific literature around the 1920s and gained formal recognition through international bodies in the late 20th century.[28] The International Union of Pure and Applied Physics (IUPAP) recommended its use as a dimensionless derived SI unit in 1998, and it was accepted for use with the SI by the General Conference on Weights and Measures (CGPM) in 1999, though it remains less common than the decibel in empirical measurements.[29][25] The neper's alignment with the base- exponential function offers mathematical advantages in fields requiring calculus-based analysis. In control theory, the real part of a system's pole in the s-plane (Laplace domain) represents damping in nepers per second, facilitating direct computation of transient responses in transfer functions like , where is the neper frequency.[30] In acoustics, it simplifies modeling of attenuation in media, as the coefficient in Np/m directly yields the level drop via natural exponentials, aiding analysis of viscous losses in fluids.[31] These properties make the neper preferable in theoretical derivations over base-10 units, despite the decibel's prevalence in practical engineering.[27]
Standardization
International Standards
The International Electrotechnical Commission (IEC) standard IEC 60027-3, first published in 1974 and with its current edition (Edition 3.0) published in 2002, provides definitions for logarithmic quantities and their units in electrical technology, including the concept of level as the logarithm of a dimensionless ratio of two quantities of the same kind.[32] It specifies the level of a power or energy quantity, denoted as , and the level of a root-power quantity, denoted as , both expressed in bels (B) or nepers (Np), emphasizing their dimensionless nature since they derive from ratios without physical units.[32] The standard also defines the bel as a unit equal to ten times the base-10 logarithm of a power ratio and the neper as the natural logarithm equivalent for amplitude ratios, ensuring consistent symbol usage across electrical applications.[32] The IEEE Standard Dictionary of IEEE Standards Terms (IEEE Std 100), in its 2000 edition (Seventh Edition), clarifies the use of the decibel (dB) in electrical engineering as a logarithmic unit for expressing ratios of power, voltage, or other quantities, defined as for power levels.[33] It includes specific entries for variants like dBm (referenced to 1 milliwatt) and dBV (referenced to 1 volt), with explicit warnings against misuse, such as confusing absolute levels with relative ratios or applying dB scales to non-ratio quantities, to prevent errors in signal analysis and system design.[33] ISO 80000-1:2009, updated in 2022 as the second edition, establishes general principles for quantities and units under the International System of Quantities (ISQ).[34] Logarithmic quantities such as levels, derived from ratios of physical quantities like power or amplitude, along with units like the bel and neper, are addressed in the broader ISO 80000 series (for example, ISO 80000-3 mentions the neper and bel as units for logarithmic quantities). These maintain the dimensionless character of such derived quantities and are relevant in fields like acoustics and electronics.[34] In electromagnetic compatibility (EMC) testing, the International Special Committee on Radio Interference (CISPR) standards, such as CISPR 32 (harmonized in the EU as EN 55032), define emission limits using decibel scales (e.g., dBμV/m for radiated emissions) to ensure interoperability and regulatory compliance across member states.[35] These standards, adopted under the EU EMC Directive 2014/30/EU, specify quasi-peak and average detector limits in dB relative to reference levels, facilitating harmonized testing procedures for multimedia and information technology equipment.[36] CISPR 25 further applies similar dB-based limits for automotive components, promoting uniform EMC performance in the European market.[37]Reference Conventions
In the context of logarithmic levels, reference conventions establish standardized baseline values against which measurements are normalized, enabling consistent comparisons across applications. These references distinguish between absolute levels, which use fixed physical quantities, and relative levels, which compare to arbitrary or context-specific baselines. Absolute references are particularly common in power and field quantity measurements to ensure interoperability in fields like telecommunications and acoustics. For power quantities, the reference of 1 milliwatt (mW) defines the dBm scale, widely adopted in radio frequency (RF) engineering and telecommunications, where 0 dBm corresponds to 1 mW of power. Similarly, the dBW scale uses 1 watt (W) as its reference, with 0 dBW equating to 1 W, facilitating expression of higher power levels in RF systems without excessive numerical values. These conventions stem from early telecommunications standards to simplify signal power comparisons in circuits and transmission lines. In acoustics, the reference intensity level is set at W/m², representing the threshold of human hearing and serving as the baseline for sound intensity levels. For sound pressure, a field quantity, the standard reference is 20 micropascals (µPa), defining 0 dB for the sound pressure level (SPL) in air. These values ensure measurements align with auditory perception thresholds and are mandatory for airborne sound applications under international acoustics guidelines. Voltage levels, as root-power quantities, often reference 1 volt (V) in the dBV scale, common in audio and general electronics for expressing signal amplitudes without impedance dependencies. In digital audio, post-2000 standards introduced dBFS (decibels relative to full scale), where 0 dBFS denotes the maximum digital signal level before clipping, with alignment references like -20 dBFS recommended for professional broadcasting to maintain headroom. Fiber optics employs the dBm scale, referencing 1 mW for optical power measurements, accommodating the low-power nature of light signals in transmission systems.[38][39][40] Ambiguities arise when references are omitted, such as using "dB" without specifying the baseline (e.g., dB versus dB re 1 µPa in underwater acoustics, contrasting air's 20 µPa convention), potentially leading to misinterpretations across media. Standards bodies recommend explicit notation, like dB(20 µPa) or dBm, to clarify absolute versus relative usage and prevent errors in interdisciplinary applications.Related Concepts
Logarithmic Ratio Quantities
Logarithmic ratio quantities are dimensionless measures defined as the logarithm of the ratio between two quantities of the same physical dimension, expressed generally as , where and represent comparable magnitudes such as power, amplitude, or energy. These quantities arise naturally in fields involving exponential relationships, such as signal propagation and system response, and are inherently unitless due to the ratio form. Levels, by contrast, form a subset of these ratios where the denominator is fixed to a standardized reference value, enabling absolute comparisons against a benchmark. This distinction allows logarithmic ratios to serve broader comparative roles beyond fixed-scale measurements.[41][42] In practical applications outside of pure level definitions, logarithmic ratios quantify relative changes like amplifier gain and filter attenuation. For power gain in amplifiers, the formula is decibels, where and are output and input powers, respectively; positive values indicate amplification, while negative values denote loss. This expression is widely used in filter design to describe attenuation, such as in low-pass or band-pass configurations, where it captures how signal strength diminishes across frequency bands. A key advantage is the additivity property: when components are cascaded in series, the total ratio in logarithmic units equals the sum of individual ratios, simplifying calculations for multi-stage systems—for instance, the overall gain is the arithmetic sum of each stage's dB value.[43][44] These ratios are prominently featured in Bode plots, which graph system frequency response with magnitude in decibels on a linear scale against logarithmically scaled frequency on the horizontal axis; this format reveals asymptotic behaviors and stability margins in linear systems. Historically, their application expanded from telecommunications levels in the early 20th century to control systems in the 1940s, where Hendrik Bode's frequency-domain techniques leveraged logarithmic scaling for feedback amplifier analysis, enabling efficient design of stable servomechanisms. In modern digital signal processing, logarithmic ratios express FFT magnitudes in decibels to normalize spectral content, facilitating noise floor identification and harmonic analysis in discrete-time signals.[45][46][47]Logarithmic Frequency Ratios
Logarithmic frequency ratios quantify the relative difference between two frequencies using a logarithmic scale, providing a perceptually uniform representation that aligns with human auditory processing. This approach transforms multiplicative frequency ratios into additive differences, facilitating analysis in domains where pitch or spectral content varies exponentially. Unlike linear scales, logarithmic measures emphasize proportional changes, such as octaves or critical bands, which are more intuitive for psychoacoustic and engineering applications. In musical contexts, frequency ratios are expressed in cents, defined by the formulawhere and are the higher and lower frequencies, respectively. This unit divides the octave—corresponding to —into 1200 equal parts, with a semitone approximating cents or octave. Such scaling reflects the logarithmic nature of pitch perception, where equal ratios produce perceptually equivalent intervals.[48] In psychoacoustics, the Bark scale models the auditory system's critical bands by mapping frequency to a logarithmic-like transformation, originating from Zwicker's 1961 subdivision of the audible range into 24 bands.[49] Each Bark unit approximates the width of a critical band, transitioning from linear spacing at low frequencies (below 500 Hz) to logarithmic compression at higher frequencies, simulating cochlear filtering.[49] This scale underpins models of masking and loudness, enhancing perceptual accuracy in audio processing. Engineering applications employ logarithmic frequency scales, such as decades (ratios of 10:1), for spectral analysis, particularly in plots using fast Fourier transform (FFT) methods.[50] The Cooley-Tukey algorithm of 1965 enabled efficient FFT computation, promoting log-frequency axes in post-1950s spectra to visualize broadband signals from audio to vibration analysis.[51] These scales compress wide frequency ranges, highlighting harmonic structures and resonances proportionally.[50] Logarithmic frequency ratios relate to sound levels through equal-loudness contours, as standardized in ISO 226, which plots perceived loudness across frequencies on a logarithmic axis to account for the ear's varying sensitivity.[52] For instance, contours show that mid-frequencies require lower sound pressure levels for equal perceived loudness compared to extremes, integrating frequency ratios with amplitude perception.[53] In the 2020s, extensions to auditory models in AI sound processing have incorporated logarithmic frequency scales, such as the Mel scale (a perceptual approximation similar to Bark), to improve neural networks for speech enhancement and synthesis.[54][55] These models use multi-band logarithmic decompositions to mimic human hearing, achieving better psychoacoustic fidelity in tasks like bandwidth extension and voice generation. Logarithmic frequency ratios thus bridge traditional acoustics with modern AI, optimizing computational efficiency and perceptual relevance.