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Analogue electronics
Analogue electronics
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Analogue electronic components like this thermistor function with continuous signals, unlike digital electronics which have discrete signals, usually binary code

Analogue electronics (American English: analog electronics) are electronic systems with a continuously variable signal, in contrast to digital electronics where signals usually take only two levels. The term analogue describes the proportional relationship between a signal and a voltage or current that represents the signal. The word analogue is derived from the Greek word ανάλογος analogos meaning proportional.[1]

Analogue signals

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An analogue signal uses some attribute of the medium to convey the signal's information. For example, an aneroid barometer uses the angular position of a needle on top of a contracting and expanding box as the signal to convey the information of changes in atmospheric pressure.[2] Electrical signals may represent information by changing their voltage, current, frequency, or total charge. Information is converted from some other physical form (such as sound, light, temperature, pressure, position) to an electrical signal by a transducer which converts one type of energy into another (e.g. a microphone).[3]

The signals take any value from a given range, and each unique signal value represents different information. Any change in the signal is meaningful, and each level of the signal represents a different level of the phenomenon that it represents. For example, suppose the signal is being used to represent temperature, with one volt representing one degree Celsius. In such a system, 10 volts would represent 10 degrees, and 10.1 volts would represent 10.1 degrees.

Another method of conveying an analogue signal is to use modulation. In this, some base carrier signal has one of its properties altered: amplitude modulation (AM) involves altering the amplitude of a sinusoidal voltage waveform by the source information, frequency modulation (FM) changes the frequency. Other techniques, such as phase modulation or changing the phase of the carrier signal, are also used.[4]

In an analogue sound recording, the variation in pressure of a sound striking a microphone creates a corresponding variation in the current passing through it or voltage across it. An increase in the volume of the sound causes the fluctuation of the current or voltage to increase proportionally while keeping the same waveform or shape.

Mechanical, pneumatic, hydraulic, and other systems may also use analogue signals.

Inherent noise

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Analogue systems invariably include noise that is random disturbances or variations, some caused by the random thermal vibrations of atomic particles. Since all variations of an analogue signal are significant, any disturbance is equivalent to a change in the original signal and so appears as noise.[5] As the signal is copied and re-copied, or transmitted over long distances, these random variations become more significant and lead to signal degradation. Other sources of noise may include crosstalk from other signals or poorly designed components. These disturbances are reduced by shielding and by using low-noise amplifiers (LNA).[6]

Analogue vs digital electronics

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A digital signal like USB is inherently an analogue signal

Since the information is encoded differently in analogue and digital electronics, the way they process a signal is consequently different. All operations that can be performed on an analogue signal such as amplification, filtering, limiting, and others, can also be duplicated in the digital domain. Every digital circuit is also an analogue circuit, in that the behaviour of any digital circuit can be explained using the rules of analogue circuits.

The use of microelectronics has made digital devices cheap and widely available.

Noise

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The effect of noise on an analogue circuit is a function of the level of noise. The greater the noise level, the more the analogue signal is disturbed, slowly becoming less usable. Because of this, analogue signals are said to "fail gracefully". Analogue signals can still contain intelligible information with very high levels of noise. Digital circuits, on the other hand, are not affected at all by the presence of noise until a certain threshold is reached, at which point they fail catastrophically. For digital telecommunications, it is possible to increase the noise threshold with the use of error detection and correction coding schemes and algorithms. Nevertheless, there is still a point at which catastrophic failure of the link occurs.[7][8]

In digital electronics, because the information is quantized, as long as the signal stays inside a range of values, it represents the same information. In digital circuits the signal is regenerated at each logic gate, lessening or removing noise.[9][failed verification] In analogue circuits, signal loss can be regenerated with amplifiers. However, noise is cumulative throughout the system and the amplifier itself will add to the noise according to its noise figure.[10][11]

Precision

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A number of factors affect how precise a signal is, mainly the noise present in the original signal and the noise added by processing (see signal-to-noise ratio). Fundamental physical limits such as the shot noise in components limits the resolution of analogue signals. In digital electronics additional precision is obtained by using additional digits to represent the signal. The practical limit in the number of digits is determined by the performance of the analogue-to-digital converter (ADC), since digital operations can usually be performed without loss of precision. The ADC takes an analogue signal and changes it into a series of binary numbers. The ADC may be used in simple digital display devices, e. g., thermometers or light meters but it may also be used in digital sound recording and in data acquisition. However, a digital-to-analogue converter (DAC) is used to change a digital signal to an analogue signal. A DAC takes a series of binary numbers and converts it to an analogue signal. It is common to find a DAC in the gain-control system of an op-amp which in turn may be used to control digital amplifiers and filters.[12]

Design difficulty

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Analogue circuits are typically harder to design, requiring more skill than comparable digital systems to conceptualize.[13] An analogue circuit is usually designed by hand because the application is built into the hardware. Digital hardware, on the other hand, has a great deal of commonality across applications and can be mass-produced in a standardised form. Hardware design consists largely of repeated identical blocks and the design process can be highly automated. This is one of the main reasons that digital systems have become more common than analogue devices. However, the application of digital hardware is a function of the software/firmware and creating this is still largely a labour-intensive process. Since the early 2000s, there were some platforms that were developed which enabled analogue design to be defined using software - which allows faster prototyping. Furthermore, if a digital electronic device is to interact with the real world, it will always need an analogue interface.[14] For example, every digital radio receiver has an analogue preamplifier as the first stage in the receive chain.

Design of analogue circuits has been greatly eased by the advent of software circuit simulators such as SPICE. IBM developed their own in-house simulator, ASTAP, in the 1970s which used an unusual (compared to other simulators) sparse matrix method of circuit analysis.

Circuit classification

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Analogue circuits can be entirely passive, consisting of resistors, capacitors and inductors. Active circuits also contain active elements such as transistors. Traditional circuits are built from lumped elements – that is, discrete components. However, an alternative is distributed-element circuits, built from pieces of transmission line.

See also

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References

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
Analogue electronics is the branch of that deals with the , , and application of circuits and devices operating on continuous signals, where electrical quantities like voltage or current vary smoothly over time to represent real-world phenomena such as sound waves, , or light intensity. Unlike digital electronics, which process discrete binary states ( and 1s), analogue systems handle infinitely variable signals, making them essential for interfacing with the natural world's continuous variations. The foundational principles of analogue electronics are rooted in and circuit theory, including Ohm's Law (V = IR, relating voltage, current, and resistance) and Kirchhoff's Laws (the voltage law stating that the sum of voltages around a loop is zero, and the current law stating that the sum of currents at a node is zero). These laws enable the analysis of circuits using techniques like voltage dividers (V_out = V_in × [R₂ / (R₁ + R₂)]) and Thevenin's theorem, which simplifies complex networks into equivalent voltage sources and resistors for practical design. Key components include passive elements such as resistors (limiting current), capacitors (storing charge for filtering), and inductors (opposing current changes), alongside active devices like diodes (for rectification), transistors (for amplification and switching), and operational amplifiers (op-amps) that provide high gain and precise signal manipulation. Analogue electronics relies on materials, primarily and , which can be intrinsic (pure, with balanced electrons and holes) or extrinsic (doped to create n-type for excess electrons or p-type for excess holes, enabling devices like transistors). Its advantages include direct processing of continuous signals without quantization errors, energy efficiency in certain low-power scenarios, and natural fidelity for applications requiring smooth representation, such as audio reproduction where signal mirrors . Notable applications span audio equipment (amplifiers, mixers, and equalizers), radio frequency systems (tuning circuits and transmitters), sensor interfaces (converting physical measurements like or into electrical signals), and power management (regulators and converters in everyday devices). In scientific contexts, analogue circuits excel in real-time for instrumentation, such as in biology or simulations, complementing digital systems in hybrid designs. Despite the dominance of digital technology, analogue electronics remains vital for front-end signal acquisition and remains a core skill in education.

Basic Concepts

Analogue signals

Analogue signals serve as continuous-time, continuous-amplitude representations of physical phenomena, such as sound waves varying air , light intensity in images, or electrical voltage in circuits. These signals capture real-world variations with infinite resolution in both the , where changes occur smoothly over any interval, and the amplitude domain, allowing values to take any point within a continuum. Mathematically, they are modeled as functions of a continuous independent variable, such as v(t)v(t), where tt represents time and vv the signal value. Key characteristics of analogue signals include their ability to represent subtle gradations without quantization limits, enabling precise modeling of natural processes like acoustic vibrations or thermal changes. For instance, audio waveforms depict continuous fluctuations in over time, while temperature variations manifest as smooth progressions in a sensor's output voltage. Sinusoidal waves provide a classic example, illustrating periodic oscillations inherent in many physical systems, such as or mechanical vibrations. In analogue electronics, focuses on operations that preserve this continuity, including amplification to boost weak signals for detection, filtering to isolate desired bands, and modulation to superimpose onto a carrier for transmission. These techniques maintain the signal's inherent smoothness, avoiding any introduction of discrete sampling. A representative analogue signal is the sinusoidal form, mathematically defined as v(t)=Asin(2πft+ϕ)v(t) = A \sin(2\pi f t + \phi) where AA is the amplitude representing the maximum deviation from zero, ff is the frequency indicating cycles per unit time, and ϕ\phi is the phase angle specifying the waveform's offset. This equation underpins much of analogue analysis, as sinusoidal components form the basis for decomposing complex waveforms via Fourier methods.

Analogue versus digital signals

Analogue signals are continuous in both time and , representing through a smooth variation of physical quantities such as voltage or current that can take any value within a defined range. In contrast, digital signals are discrete, consisting of a of distinct values, typically binary states of 0s and 1s, that represent at specific time intervals. In analogue representation, signals directly mirror varying levels of voltage, current, or other parameters to convey without interruption, allowing for an infinite number of possible values. Digital signals, however, are obtained by sampling an analogue at regular intervals and quantizing those samples into discrete levels, resulting in a stepwise of the original continuous signal. To bridge these domains, analogue-to-digital converters (ADCs) transform continuous analogue inputs into discrete digital outputs by sampling and quantizing the signal, while digital-to-analogue converters (DACs) reconstruct an analogue signal from through processes like . Analogue signals offer the advantage of naturally representing real-world phenomena, such as sound waves or light intensity, without the information loss associated with . They also avoid quantization error, preserving the full range of the original signal. However, analogue signals are highly susceptible to and , as any interference accumulates and degrades the over transmission or processing. Historically, early in the late 19th and early 20th centuries were inherently analogue, relying on continuous in devices like vacuum tubes and early radios. Digital emerged in the 1940s with the development of electronic computers, such as the , which introduced discrete binary processing to overcome limitations in analogue .

Components

Passive components

Passive components are fundamental elements in analogue electronics that do not amplify signals or generate power; instead, they dissipate energy as or store it temporarily in electric or . These components include resistors, capacitors, inductors, and diodes, which are essential for controlling current, storing charge, managing , and rectifying signals without requiring external power sources. Unlike active components, passive ones cannot provide gain and are limited to operations that consume, store, or release . Resistors are passive devices primarily used to limit current flow and divide voltages in analogue circuits, protecting sensitive elements from excess current. Their behavior is governed by , which states that the voltage drop VV across a resistor is equal to the current II through it multiplied by its resistance RR, expressed as V=IRV = IR. Common types include carbon film resistors, which offer good stability and are widely used in general-purpose applications, and wirewound resistors, which handle higher power levels due to their construction from coiled wire. Resistors are specified with tolerances indicating the allowable deviation from their nominal value, typically ranging from ±1% for precision types to ±20% for standard carbon composition variants. Capacitors store electrical energy in an between two conductive plates separated by a , with the stored charge QQ related to the voltage VV by Q=CVQ = CV, where CC is the . In time-domain applications, such as RC circuits, capacitors exhibit transient behavior characterized by the τ=RC\tau = RC, which determines the rate of charging or discharging. Types include capacitors, valued for their low cost and suitability in high-frequency bypassing, and electrolytic capacitors, which provide high capacitance values for filtering but are polarized and have higher leakage. In the , the impedance of a capacitor is ZC=1jωCZ_C = \frac{1}{j \omega C}, decreasing with increasing ω\omega and allowing passage of high-frequency signals while blocking DC. Inductors store energy in a magnetic field generated by current flow through a coil, with inductance LL quantifying the ability to oppose changes in current. Their impedance is given by ZL=jωLZ_L = j \omega L, which increases with frequency, making them effective for blocking high-frequency noise in filters and tuning circuits. In RL circuits, the transient response is defined by the time constant τ=LR\tau = \frac{L}{R}, analogous to RC behavior but for current buildup or decay. Common types are air-core inductors, used in high-frequency RF applications due to minimal core losses, and ferrite-core inductors, which enhance inductance for power and filtering tasks through their magnetic properties. Diodes are fundamental semiconductor devices formed by a between p-type and n-type materials, allowing current to flow preferentially in due to forward and reverse bias conditions. Under forward bias, the current-voltage (I-V) characteristic follows the exponential :
I=Is(eV/(nVT)1),I = I_s \left( e^{V / (n V_T)} - 1 \right),
where IsI_s is the reverse saturation current, nn is the ideality factor (typically 1 to 2), VV is the voltage across the junction, and VTV_T is the thermal voltage (approximately 25 mV at ). In reverse bias, current is minimal until breakdown occurs. Common types include Zener diodes, which operate in reverse breakdown for precise , and Schottky diodes, featuring a metal-semiconductor junction for low forward voltage and fast switching speeds suitable for high-frequency applications.
Passive components are often combined in series or parallel networks to achieve desired impedance characteristics, such as matching source and load impedances for maximum power transfer in analogue circuits. For instance, series connections add impedances directly, while parallel configurations yield the reciprocal sum, enabling precise control over circuit response without introducing gain.

Active components

Active components in analogue electronics are devices that require an external to operate and can provide , amplification, or switching functionality to control signals. These devices actively inject into a circuit, enabling functions such as signal amplification and rectification. They are essential for building analogue circuits that process continuous signals. Bipolar junction transistors (BJTs) are three-terminal devices constructed from alternating layers of doped semiconductors, available in NPN (p-type base between n-type emitter and collector) and PNP (n-type base between p-type emitter and collector) configurations. In the common-emitter configuration, BJTs function as current amplifiers, where a small base-emitter current controls a larger collector-emitter current, characterized by the DC current gain β=IC/IB\beta = I_C / I_B, which typically ranges from 50 to 200 depending on the device. For small-signal analysis, the hybrid (h-)parameter model linearizes the transistor's behavior around an , using parameters like hfeh_{fe} (forward current gain) and hoeh_{oe} (output ) to predict AC performance in analogue circuits. Field-effect transistors (FETs) are voltage-controlled devices that modulate conductivity in a channel using an , with primary types being junction FETs (JFETs), which use a reverse-biased for gate control, and metal-oxide-semiconductor FETs (MOSFETs), which employ an insulated gate for enhanced . The key performance metric is the gm=ID/VGSg_m = \partial I_D / \partial V_{GS}, which quantifies how effectively changes in gate-source voltage VGSV_{GS} alter the drain current IDI_D while keeping drain-source voltage constant, enabling high-impedance amplification in analogue applications. FETs offer advantages in power efficiency and noise performance compared to BJTs for certain low-power circuits. Operational amplifiers (op-amps) are versatile integrated active devices designed for a wide range of analogue tasks, featuring a differential input stage, high-gain amplification, and typically five or eight pins including inverting and non-inverting inputs, output, and connections. Ideally, op-amps exhibit infinite open-loop voltage gain, infinite , zero , infinite bandwidth, and zero offset voltage, allowing them to approximate perfect amplifiers in feedback configurations. Real op-amps, however, face limitations such as finite (the maximum rate of output voltage change, often 0.5 V/μs for general-purpose types) and a unity-gain bandwidth product (typically around 1 MHz), which restrict high-frequency and large-signal performance. The standard triangular represents the op-amp in schematics, with pinouts varying by package but commonly including compensation and offset adjustment pins. Historically, vacuum tubes served as the primary active components for analogue amplification before semiconductors dominated. The , invented by in 1906, consists of a heated emitting electrons, a modulating the electron flow, and an collecting them in a vacuum envelope, enabling voltage amplification essential for early radio and audio applications. Although obsolete today due to size, power consumption, and reliability issues, vacuum tubes were foundational in establishing principles of active signal control that underpin modern analogue electronics.

Circuits

Linear circuits

Linear circuits in analogue electronics are those in which the output is directly proportional to the input, adhering to the principles of superposition and homogeneity, such that the response to a of inputs equals the of individual responses. This linearity holds for small-signal operations where components operate within their linear regions, avoiding distortion from nonlinear effects like saturation. The allows the total output to be calculated by summing responses to each input source independently, simplifying analysis and design. Amplifiers form a core class of linear circuits, providing gain to weak signals while maintaining proportionality. Voltage amplifiers increase the input voltage, with gain defined as Av=VoutVinA_v = \frac{V_{out}}{V_{in}}, often using operational amplifiers (op-amps) for high precision. Current amplifiers boost input current, and transimpedance amplifiers convert input current to output voltage, with gain Z=VoutIin=RfZ = \frac{V_{out}}{I_{in}} = -R_f where RfR_f is the feedback resistor. Negative feedback is employed in these amplifiers to enhance stability, reduce distortion, and control bandwidth by feeding a portion of the output back to the inverting input. Basic op-amp circuits exemplify linear amplification using ideal op-amp assumptions of infinite gain, , and bandwidth. The inverting amplifier configuration connects the input signal to the inverting terminal via resistor RinR_{in}, with feedback resistor RfR_f from output to inverting input; the voltage gain is A=RfRinA = -\frac{R_f}{R_{in}}, inverting the signal phase. The non-inverting amplifier applies the input to the non-inverting terminal, grounding the inverting input through RinR_{in} with RfR_f feedback, yielding gain A=1+RfRinA = 1 + \frac{R_f}{R_{in}}, preserving phase. These circuits, often built with passive components like , achieve precise scaling for . Filters in linear circuits selectively pass or attenuate components, essential for signal shaping. A simple RC , comprising a in series and to ground, has cutoff ωc=1RC\omega_c = \frac{1}{RC}, beyond which signals attenuate by 20 dB/decade. Its in the s-domain is H(s)=11+sRCH(s) = \frac{1}{1 + sRC}, rolling off high frequencies. Conversely, an RC swaps and positions, passing high frequencies above ωc=1RC\omega_c = \frac{1}{RC} with H(s)=sRC1+sRCH(s) = \frac{sRC}{1 + sRC}, attenuating low frequencies. These passive filters provide first-order responses for basic or bandwidth limiting. Attenuators reduce signal proportionally, used for level matching without , while buffers isolate stages to prevent loading. Attenuators, often resistive networks like pi or T configurations, ensure between source and load, maintaining . Buffers, typically unity-gain followers, employ an op-amp with output connected directly to the inverting input, achieving gain of 1 and high with low , ideal for driving subsequent circuits without altering the signal. The unity-gain follower configuration draws no input current, preserving source voltage accurately. Linear circuits find widespread applications in signal amplification and conditioning, such as audio preamplifiers that boost low-level signals to line levels for further processing, ensuring fidelity in sound systems. In sensor interfaces, they amplify and filter weak outputs from devices like thermocouples or photodiodes, providing compatible voltages for systems while rejecting interference. These uses leverage the proportional response for accurate, distortion-free handling in and communication.

Nonlinear circuits

Nonlinear circuits in analogue electronics are those where the relationship between input and output signals is not proportional, typically arising from components exhibiting curved or piecewise i-v characteristics, such as diodes with their exponential current-voltage behavior. This nonlinearity enables functions like signal , generation, and mixing that are impossible in linear systems, where outputs are sums of scaled inputs. Unlike linear circuits focused on amplification without , nonlinear circuits intentionally introduce disproportionate responses to achieve shaping or translation. Oscillators represent a core application of nonlinear circuits, producing periodic signals without external input by exploiting feedback loops with nonlinear elements like transistors or diodes to sustain . Common types include LC oscillators, such as Hartley and Colpitts configurations using inductors and capacitors for selection, and RC oscillators like the , relying on resistors and capacitors. The Barkhausen criterion governs stable sinusoidal , requiring the loop gain to equal 1 (unity) and the total phase shift around the loop to be 0° or a multiple of 360°. This condition ensures reinforces the signal at the desired , with nonlinearity providing the necessary amplitude stabilization to prevent or decay. Mixers and modulators employ nonlinear devices to perform of signals, facilitating frequency conversion essential for communication systems. In diode-based mixers, such as ring modulators using Schottky diodes, two input signals at frequencies f1f_1 and f2f_2 produce output components at fout=f1±f2f_{\text{out}} = f_1 \pm f_2, enabling up- or down-conversion. Multiplier circuits, often implemented with analogue ICs like the AD633, achieve this by generating an output proportional to the product of inputs, with diodes or transistors operating in their nonlinear regions to create the mixing products. Modulators extend this principle, such as in balanced modulators where a carrier is suppressed to produce double-sideband suppressed-carrier signals for efficient transmission. Clippers and clampers utilize diodes' nonlinear conduction to shape by limiting or shifting voltage levels, commonly applied in to remove unwanted peaks or restore DC components. A circuit, consisting of a and , clips portions of the input exceeding a threshold; for instance, a positive with a forward-biased shaves off positive peaks above the 's forward , typically around 0.7 V for . Negative clippers reverse this for troughs. Clampers, or DC restorers, add a DC offset to the waveform by charging a through a , clamping the signal to a reference voltage; a positive clamper shifts the entire waveform upward so its negative peaks align with ground. These applications provide simple, passive nonlinearity for protection or conditioning in analogue systems. In power supplies, nonlinear circuits like s convert AC to pulsating DC using diodes' unidirectional conduction, forming the basis of analogue DC sources. A half-wave passes only one polarity of the input , yielding an output with significant ripple at the source , while a full-wave , using a bridge of four diodes, utilizes both half-cycles to double the and halve the ripple. Ripple reduction is achieved by adding a filter capacitor in parallel, which charges during conduction and discharges between cycles, smoothing the output; larger capacitances yield lower ripple voltage, often to below 5% for stable analogue operation. These nonlinear circuits find critical applications in radio frequency (RF) generation and modulation schemes like AM and FM. Oscillators generate stable RF carriers for transmitters, while mixers enable frequency upconversion in superheterodyne receivers. In AM modulation, nonlinear multipliers combine audio signals with RF carriers to produce sidebands, and in FM, varactor diodes in oscillators vary frequency proportionally to the modulating signal, leveraging nonlinearity for wideband deviation. Clippers and rectifiers support RF power supplies, ensuring reliable operation in analogue radio systems.

Noise and Limitations

Sources of noise

In analogue electronics, noise refers to random fluctuations that degrade , arising from both intrinsic device physics and external environmental factors. These disturbances superimpose on desired signals, limiting the accuracy and of circuits such as amplifiers and sensors. The primary intrinsic sources stem from the quantum and behavior of charge carriers, while extrinsic sources involve interactions with surrounding systems. Understanding these origins is essential for characterizing system performance, as often scales with bandwidth and device parameters. Thermal noise, also known as Johnson-Nyquist noise, originates from the random thermal motion of charge carriers in resistive materials, present in all conductors at finite temperatures. This white noise has a flat power across frequencies and is unavoidable, even in equilibrium. The mean-square voltage noise across a RR in bandwidth Δf\Delta f is given by en2=4kTRΔf,e_n^2 = 4kTR \Delta f, where kk is Boltzmann's constant (1.38×10231.38 \times 10^{-23} J/K), TT is the absolute in , and Δf\Delta f is the noise bandwidth. This formula was derived by applying thermodynamic principles to transmission lines terminated by resistors, equating to energy per mode. Experimental measurements confirmed its proportionality to and resistance, establishing it as a fundamental limit in analogue circuits like low-noise amplifiers. Shot noise arises in devices where charge carriers cross a potential barrier discretely, such as in diodes, transistors, and photodetectors, due to the Poisson statistics of carrier arrival. It behaves as at frequencies much below the inverse transit time and is prominent in semiconductors under bias. The mean-square current noise is in2=2qIΔf,i_n^2 = 2qI \Delta f, where qq is the (1.6×10191.6 \times 10^{-19} ) and II is the average DC current. This expression models the random emission of carriers as independent "shots," analogous to photons in detection, and dominates in low-current regimes where noise is negligible. Flicker noise, or 1/f noise, manifests as low-frequency fluctuations with a power inversely proportional to (S1/fS \propto 1/f), typically dominant below 1 kHz in active devices. In s, it primarily stems from and detrapping of carriers at material interfaces or defects, causing fluctuations in mobility or conductivity. This non-white noise exhibits a steeper spectrum at lower frequencies, making it particularly problematic in DC-biased analogue circuits like operational amplifiers. Its exact mechanism varies by , but empirical models relate its magnitude to device geometry and bias, with often following Si(f)=KIαfβWLS_i(f) = \frac{K I^\alpha}{f^\beta W L}, where KK is a constant, α2\alpha \approx 2, β1\beta \approx 1, and W,LW, L are dimensions (Hooge's empirical relation for bulk effects). Extrinsic noise sources include electromagnetic interference (EMI), which couples radiated or conducted fields from nearby sources like power lines or wireless signals into sensitive circuits via antennas formed by traces or cables. Crosstalk occurs when signals from adjacent conductors induce unwanted coupling through capacitive or inductive parasitics, proportional to the rate of change of the aggressor signal. Power supply noise, often ripple or switching transients from regulators, injects fluctuations directly into active devices, modulating bias points and amplifying intrinsic noise. These are deterministic or semi-random and scale with layout and environment, unlike intrinsic sources. To quantify overall noise contribution, the noise figure (NF) measures degradation in signal-to-noise ratio (SNR) through a device or system, defined as NF=10log10(SNRinSNRout),\text{NF} = 10 \log_{10} \left( \frac{\text{SNR}_\text{in}}{\text{SNR}_\text{out}} \right), expressed in decibels at a standard temperature of 290 K. It is measured using a hot/cold noise source or Y-factor method, comparing output noise to the minimum thermal noise floor. Equivalent input noise refers to the noise voltage or current at the input that produces the observed output noise, allowing fair comparison across devices; for example, an amplifier's equivalent input voltage noise density is 4kTRΔf+en,amp2\sqrt{4kTR \Delta f + e_{n,\text{amp}}^2}
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