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Baud
Baud
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In telecommunications and electronics, baud (/bɔːd/; symbol: Bd) is a common unit of measurement of symbol rate, which is one of the components that determine the speed of communication over a data channel.

It is the unit for symbol rate or modulation rate in symbols per second or pulses per second. It is the number of distinct symbol changes (signalling events) made to the transmission medium per second in a digitally modulated signal or a bd rate line code.

Baud is related to gross bit rate, which can be expressed in bits per second (bit/s).[1] If there are precisely two symbols in the system (typically 0 and 1), then baud and bits per second are equivalent.

Naming

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The baud unit is named after Émile Baudot, the inventor of the Baudot code for telegraphy, and is represented according to the rules for SI units. That is, the first letter of its symbol is uppercase (Bd), but when the unit is spelled out, it should be written in lowercase (baud) except when it begins a sentence or is capitalized for another reason, such as in title case. It was defined by the CCITT (now the ITU-T) in November 1926. The earlier standard had been the number of words per minute, which was a less robust measure since word length can vary.[2]

Definitions

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The symbol duration time, also known as the unit interval, can be directly measured as the time between transitions by looking at an eye diagram of the signal on an oscilloscope. The symbol duration time Ts can be calculated as:

where fs is the symbol rate. There is also a chance of miscommunication, which leads to ambiguity.

Example: Communication at the baud rate 1000 Bd means communication by means of sending 1000 symbols per second. In the case of a modem, this corresponds to 1000 tones per second; similarly, in the case of a line code, this corresponds to 1000 pulses per second. The symbol duration time is 1/1000 second (that is, 1 millisecond).

The baud is scaled using standard metric prefixes, so that, for example

  • 1 kBd (kilobaud) = 1000 Bd
  • 1 MBd (megabaud) = 1000 kBd
  • 1 GBd (gigabaud) = 1000 MBd

Relationship to gross bit rate

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The symbol rate is related to gross bit rate expressed in bit/s. The term baud has sometimes incorrectly been used to mean bit rate,[3] since these rates are the same in old modems as well as in the simplest digital communication links using only one bit per symbol, such that binary digit 0 is represented by one symbol, and binary digit 1 by another symbol. In more advanced modems and data transmission techniques, a symbol may have more than two states, so it may represent more than one bit. A bit (binary digit) always represents one of two states.

If N bits are conveyed per symbol, and the gross bit rate is R, inclusive of channel coding overhead, the symbol rate fs can be calculated as

By taking information per pulse N in bit/pulse to be the base-2-logarithm of the number of distinct messages M that could be sent, Hartley[4] constructed a measure of the gross bit rate R as

where

Here, the denotes the ceiling function of , where is taken to be any real number greater than zero, then the ceiling function rounds up to the nearest natural number (e.g. ).

In that case, M = 2N different symbols are used. In a modem, these may be time-limited sine wave tones with unique combinations of amplitude, phase or frequency. For example, in a 64QAM modem, M = 64, and so the bit rate is N = log2(64) = 6 times the baud rate. In a line code, these may be M different voltage levels.

The ratio is not necessarily an integer; in 4B3T coding, the bit rate is 4/3 of the baud rate. (A typical basic rate interface with a 160 kbit/s raw data rate operates at 120 kBd.)

Codes with many symbols, and thus a bit rate higher than the symbol rate, are most useful on channels such as telephone lines with a limited bandwidth but a high signal-to-noise ratio within that bandwidth. In other applications, the bit rate is less than the symbol rate. Eight-to-fourteen modulation as used on audio CDs has bit rate 8/17[a] of the baud rate.

See also

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Notes

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References

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
In and data transmission, the baud (symbol: Bd) is a for the , defined as the number of distinct signal changes or symbol events per second on a . This rate quantifies the modulation speed rather than the , distinguishing it from the , which measures bits per second. The term "baud" originated in French in 1929 and was formally adopted in 1932 as a unit of telegraphy signaling speed, named in honor of the French engineer (1845–1903), a pioneer in printing who developed the Baudot code—a five-bit encoding system patented in 1874 that enabled multiple simultaneous transmissions over a single wire. Baudot's innovations, including his multiplexed telegraph apparatus adopted by postal services in the late , laid foundational groundwork for modern digital communication protocols. Historically, one baud equaled one bit per second in simple binary signaling, but advanced modulation techniques—such as —allow multiple bits to be represented by each symbol, resulting in that exceed the baud rate (e.g., a 2400 Bd signal can carry 9600 bps). While the term is sometimes considered obsolete and replaced by "" in precise contexts, "baud rate" persists in practical applications like serial port configurations (e.g., 9600 baud for interfaces), specifications, and embedded systems, where it denotes the gross signaling speed before accounting for encoding efficiency or errors.

Etymology and History

Origin of the Term

The term "baud" derives from the surname of French telegraph engineer (1845–1903), whose pioneering work in synchronous telegraph systems inspired its adoption as a unit measuring signaling speed in symbols per second. It was formally proposed at the November 1926 meeting of the International Telegraph Communications Advisory Committee in , by the International Telegraph Union (predecessor to the modern ITU), replacing earlier informal terms like "dots per second" in standards. In the 1930s, as integrated with emerging radiotelegraphy and technologies, the term gained wider currency; the 1932 International Telegraph Conference in unified telegraph and radio regulations, facilitating the baud's application beyond wireline telegraph circuits to international data signaling protocols.

Émile Baudot's Contributions

Jean-Maurice-Émile Baudot (1845–1903) was a French telegraph engineer and inventor who made pioneering contributions to electrical during the late . Born on September 11, 1845, in Magneux, , Baudot was largely self-taught and began his career working for the French Post Office's telegraph service in 1869, where he focused on improving transmission efficiency. His innovations addressed key limitations in existing telegraph systems, particularly the need for faster, more reliable to handle multiple messages over a single wire. In 1870, Baudot invented the , a five-bit asynchronous designed specifically for , which represented each character using five equal-duration electrical pulses (on or off) transmitted serially. This code, patented in in 1874, marked a significant advancement over variable-length codes like Morse, as its fixed-length units enabled precise synchronization and automated handling. Baudot's code supported 32 unique combinations (2^5), sufficient for the Roman alphabet, numerals, and basic punctuation, and it became a foundational element in early digital communication systems. During the , Baudot developed the Baudot printer and system, which integrated his code with mechanical components for automated, synchronous transmission and reception. The , a rotating device with multiple sectors, facilitated by sequentially sampling inputs from several operators and distributing outputs to receivers, ensuring precise timing without interference. This system enabled the simultaneous transmission of up to six telegraph channels over a single wire, dramatically increasing line capacity and efficiency in early networks. Baudot's work laid the groundwork for modern data transmission techniques, and in recognition of his impact, the unit of was later named the baud in his honor.

Core Definitions

Symbol Rate Fundamentals

The baud (Bd), named in honor of French engineer , serves as the international unit for in , quantifying the number of symbols transmitted per second in a communication system. A constitutes a distinct and discrete state of the signal, such as a unique , voltage level, phase shift, or tone that persists for a fixed duration and carries information. This unit applies to both analog and digital waveforms, where the signal modulates a carrier to encode data for transmission over channels like lines or radio frequencies. Symbol rate, expressed in bauds, measures the of transitions between these distinct signal states per second, reflecting how rapidly the changes to convey sequential symbols. In practice, this corresponds to the reciprocal of the duration of the shortest signal element, known as the unit interval, ensuring synchronized detection at the receiver. For instance, in early systems, a modulation rate of 50 Bd indicated 50 such transitions occurring every second, fundamental to and nascent digital links. By definition, 1 baud equals 1 symbol per second, providing a standardized metric independent of the information content per symbol. This unit facilitates the design of transmission systems, where waveforms are modulated—such as by varying amplitude, frequency, or phase—to produce these symbol states, enabling reliable signal propagation without delving into specific encoding schemes. A representative example is the 300 Bd rate in early modems, which supported basic duplex communication over switched telephone networks by transmitting 300 symbols each second.

Distinction from Bit Rate

The baud, or , measures the number of distinct signal changes or transmitted per second in a . In contrast, the quantifies the number of binary digits (bits) transmitted per second, typically expressed in bits per second (bps). This fundamental distinction arises because each can encode varying amounts of , leading to scenarios where the exceeds the baud rate. In binary modulation schemes, such as binary phase-shift keying (BPSK), each symbol represents exactly one bit, making the baud rate numerically equal to the bit rate. However, in multi-level modulation techniques like quadrature amplitude modulation (QAM), a single symbol can convey multiple bits—for instance, 16-QAM encodes 4 bits per symbol—allowing higher bit rates at the same baud rate. This encoding efficiency is key to achieving greater data throughput without increasing the symbol transmission frequency. A prevalent misconception equates 1 baud directly with 1 bps, often stemming from early telecommunications practices where simple binary signaling made the terms interchangeable. In the 1960s, voiceband modems like the Bell 103 operated at 300 baud, which corresponded to 300 bps since each symbol carried one bit, reinforcing this assumption in computing and networking contexts. As modulation advanced, this equivalence broke down, leading to confusion in system specifications and performance evaluations. Qualitative factors such as channel noise and signal encoding further delineate baud from bit rate by influencing the reliable capacity per . , governed by principles like Shannon's capacity theorem, limits the number of distinguishable levels, thereby capping the bits encodable per baud and separating achievable from raw symbol rates. Encoding methods, including error-correcting codes, introduce overhead that modulates the effective bit-to-symbol ratio, emphasizing that depends not just on frequency but on robust and modulation complexity.

Relationships to Data Transmission

Connection to Gross Bit Rate

The gross bit rate, also referred to as the data signaling rate, is defined as the aggregate rate at which passes a point in the transmission path of a , encompassing the total bits per second including overhead but excluding the effects of error correction coding. This metric captures the raw transmission capacity at the prior to higher-level processing that might reduce the effective throughput. The baud rate, or symbol rate RsR_s, measures the number of symbols transmitted per second, and it forms the foundation for calculating the gross bit rate RbR_b in digital communications systems. Specifically, the relationship is given by the formula: Rb=Rs×log2MR_b = R_s \times \log_2 M where MM represents the number of possible signal levels (s) in the modulation scheme, and log2M\log_2 M quantifies the average number of bits encoded per . This multiplication arises because each can convey multiple bits of information depending on the constellation size MM; for instance, binary signaling (M=2M = 2) yields 1 bit per , while signaling (M=4M = 4) yields 2 bits per . To derive this connection, consider that Shannon's channel capacity theorem establishes an upper bound on the information rate as C=Wlog2(1+SNR)C = W \log_2 (1 + \mathrm{SNR}), where WW is the bandwidth and SNR is the , implying that the symbol rate RsR_s is typically limited by the available bandwidth (often Rs2WR_s \approx 2W for signals). However, the practical gross bit rate simplifies to the baud-bit product, as the total bits transmitted are the symbols per second multiplied by the bits per symbol, assuming ideal encoding without . A representative example is the V.22bis standard, which operates at a of 600 per second using 16 signal levels (M=16M = 16, so log216=4\log_2 16 = 4 bits per ), resulting in a gross of 600×4=2400600 \times 4 = 2400 bits per second. This illustrates how the scales the effective data transmission capacity through the choice of encoding.

Influence of Modulation Schemes

Modulation schemes play a pivotal in digital communications by encoding multiple bits of information into each transmitted , thereby influencing the relationship between the () and the overall . Common techniques include (ASK), which varies the amplitude of the carrier signal to represent data; (FSK), which shifts the carrier ; and (PSK), which alters the phase of the carrier. These methods determine the number of bits that can be reliably conveyed per , allowing the to exceed the when more than one bit is encoded per . Specific examples illustrate this encoding efficiency. In binary PSK (BPSK), each symbol represents 1 bit, resulting in a bit rate equal to the baud rate. Quadrature PSK (QPSK) encodes 2 bits per symbol by using four phase states, effectively doubling the bit rate for a given baud rate. Higher-order schemes like 16-quadrature amplitude modulation (16-QAM), which combines amplitude and phase variations into 16 possible symbols, achieve 4 bits per symbol. The efficiency gains from higher-order modulation come at the cost of reduced robustness to . While schemes like 16-QAM increase bits per baud, the closer constellation points require a higher (SNR) to maintain acceptable bit error rates (BER), as symbol errors become more likely in noisy channels. For instance, achieving the same BER demands progressively higher SNR as the modulation order rises from BPSK to 16-QAM. This necessitates careful selection based on channel conditions to balance and reliability. Historically, modulation has evolved from low-order schemes suited to noisy analog lines to high-order variants enabling speeds. Early modems in the , such as the Bell 103, employed 300 baud FSK for reliable 300 bit/s transmission over telephone lines. In contrast, modern (DSL) systems utilize high-order QAM at symbol rates around 4000 baud, supporting multimegabit rates through denser symbol encoding while adapting to improved channel quality.

Applications and Examples

Use in Modems and Telephony

The Bell 103 modem, released by in 1962, represented an early milestone in data transmission over telephone lines, operating at a symbol rate of baud using binary (FSK) to achieve a bit rate of bps in full-duplex mode. This design relied on acoustic coupling, where the telephone handset was placed into rubber cups on the to transmit tones acoustically, circumventing regulations that prohibited direct electrical connections to the until the 1968 Carterfone decision. ITU-T V-series recommendations standardized higher-speed modems for telephony in the ensuing decades. The V.22 standard, finalized in 1988 but widely adopted in the , employed differential phase-shift keying (DPSK) at 600 baud across split-band carriers (low band at 1200 Hz and high band at 2400 Hz), enabling a primary bit rate of 1200 bps with fallback to 600 bps for robustness over noisy lines. Building on this, the V.32 standard of 1984 introduced echo cancellation for full-duplex operation and (QAM) at 2400 baud with a 1800 Hz carrier, supporting of 4800 bps using 4-dimensional constellations or up to 9600 bps via trellis-coded modulation with 32 states to enhance without expanding bandwidth. Standard voice telephony channels, with a usable bandwidth of 300 to 3400 Hz (approximately 3000 Hz effective), impose fundamental limits on baud rates per the Nyquist signaling theorem, which states that the maximum without is roughly twice the bandwidth for signals but effectively around 2400 baud for modulation schemes like those in V-series modems to accommodate filtering and guard bands. This constraint ensured reliable operation over unconditioned twisted-pair lines but capped raw symbol rates, necessitating advanced coding and modulation to boost within the fixed bandwidth. As evolved toward , (ADSL) systems, standardized in G.992.1 (1999), shifted from single-carrier modulation to discrete multi-tone (DMT), dividing the line's into up to 256 subcarriers each modulated at a of 4000 baud (250 μs symbol period). This multi-tone approach adaptively allocates bits per subcarrier (0 to 15 via QAM variants) based on channel conditions, achieving downstream rates up to 8 Mbps while preserving compatibility with voice services on the low-frequency band.

Role in Digital Communications Systems

In modern digital communications systems, the baud rate plays a pivotal role in determining the symbol transmission speed within wireless standards, enabling efficient spectrum utilization across carriers. For instance, in the (GSM), each carrier operates at a of 270.833 kBd using Gaussian Minimum Shift Keying (GMSK) modulation, which supports the system's 200 kHz channel bandwidth while maintaining compatibility with mobile voice and data services. This rate ensures robust signal integrity in (TDMA) frameworks, where bursts of symbols are transmitted at precise intervals to minimize interference. Similarly, in standards under , (OFDM) employs a of up to 250 kBd, derived from a 4 μs symbol duration (including ), allowing parallel transmission across multiple subcarriers to achieve higher aggregate data rates in local area networks. In optic systems, baud rates have scaled dramatically to meet the demands of high-speed data transport, particularly in coherent detection schemes for long-haul and metro networks. A notable example is the use of approximately 60 Gbaud rates with dual-polarization 16-quadrature (DP-16QAM) to realize 400 Gbps Ethernet links, where each symbol carries 8 bits, enabling transmission over standard single-mode with dispersion compensation. This configuration leverages for phase and polarization recovery, achieving bit error rates below thresholds over distances exceeding 100 km, as demonstrated in experimental setups. Such high baud rates are essential for (WDM) systems, where multiple 400 Gbps channels are packed into the C-band spectrum to support backbone infrastructure. Current limitations in systems like New Radio (NR) highlight trade-offs between baud rate and , particularly under constrained bandwidth allocations. With channel bandwidths up to 100 MHz in sub-6 GHz bands, achievable symbol rates approximate 28 kBd per subcarrier when using (OFDM) with 30 kHz subcarrier spacing, balancing out-of-band emissions and peak-to-average power ratio. However, higher-order modulations like 256-QAM and massive introduce efficiency penalties, requiring advanced filtering to stay within emission masks, which can reduce effective baud rates by 10-20% in dense deployments. These constraints underscore the need for adaptive numerologies in , where symbol rates are scaled via subcarrier spacing (15-120 kHz) to optimize throughput while adhering to regulatory spectrum limits. Looking ahead, research into terabaud-scale rates (1 Tbaud and beyond) is advancing optical interconnects for data centers, driven by the in AI and workloads post-2020. Plasmonic transceivers, integrating electronic-plasmonic circuits, have demonstrated potential for terabaud operation by enabling ultra-compact modulators and detectors that support high symbol rates through parallel micro-ring resonators. These innovations aim to alleviate electrical interconnect bottlenecks in hyperscale facilities, targeting energy efficiencies below 3 pJ/bit over short reaches (up to 3 km), with prototypes showing error-free transmission in O-band wavelengths.

References

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