White noise

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White noise is a random signal (or process) with a flat power spectral density. (Wikipedia.org)






Conferences related to White noise

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2017 IEEE/MTT-S International Microwave Symposium - MTT 2017

The IEEE MTT-S International Microwave Symposium (IMS) is the premier conference covering basic technologies, to passives and actives components to system over a wide range of frequencies including VHF, UHF, RF, microwave, millimeter-wave, terahertz, and optical. The conference will encompass the latest in RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation, wireless systems, RFID and related topics.

  • 2029 IEEE/MTT-S International Microwave Symposium - MTT 2029

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2021 IEEE/MTT-S International Microwave Symposium - MTT 2021

    The IEEE MTT-S International Microwave Symposium (IMS) is the premier conference covering basic technologies, to passives and actives components to system over a wide range of frequencies including VHF, UHF, RF, microwave, millimeter-wave, terahertz, and optical. The conference will encompass the latest in RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation, wireless systems, RFID and related topics.

  • 2019 IEEE/MTT-S International Microwave Symposium - MTT 2019

    Comprehensive symposium on microwave theory and techniques including active and passive circuit components, theory and microwave systems.

  • 2018 IEEE/MTT-S International Microwave Symposium - MTT 2018

    Microwave theory and techniques, RF/microwave/millimeter-wave/terahertz circuit design and fabrication technology, radio/wireless communication.

  • 2016 IEEE/MTT-S International Microwave Symposium - MTT 2016

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2015 IEEE MTT-S International Microwave Symposium (IMS2015)

    The IEEE MTT-S International Microwave Symposium (IMS) is the premier conference covering basic technologies, to passives and actives components to system over a wide range of frequencies including VHF, UHF, RF, microwave, millimeter-wave, terahertz, and optical. The conference will encompass the latest in RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation, wireless systems, RFID and related topics. The IMS includes technical sessions, both oral and interactive, worksh

  • 2014 IEEE/MTT-S International Microwave Symposium - MTT 2014

    IMS2014 will cover developments in microwave technology from nano devices to system applications. Technical paper sessions, interactive forums, plenary and panel sessions, workshops, short courses, industrial exhibits, and a wide array of other technical activities will be offered.

  • 2013 IEEE/MTT-S International Microwave Symposium - MTT 2013

    The IEEE MTT-S International Microwave Symposium (IMS) is the premier conference covering basic technologies, to passives and actives components to system over a wide range of frequencies including VHF, UHF, RF, microwave, millimeter -wave, terahertz, and optical. The conference will encompass the latest in RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation, wireless systems, RFID and related topics.The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2012 IEEE/MTT-S International Microwave Symposium - MTT 2012

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2011 IEEE/MTT-S International Microwave Symposium - MTT 2011

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2010 IEEE/MTT-S International Microwave Symposium - MTT 2010

    Reports of research and development at the state-of-the-art of the theory and techniques related to the technology and applications of devices, components, circuits, modules and systems in the RF, microwave, millimeter-wave, submillimeter-wave and Terahertz ranges of the electromagnetic spectrum.

  • 2009 IEEE/MTT-S International Microwave Symposium - MTT 2009

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2008 IEEE/MTT-S International Microwave Symposium - MTT 2008

  • 2007 IEEE/MTT-S International Microwave Symposium - MTT 2007


2012 24th Chinese Control and Decision Conference (CCDC)

Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2011 23rd Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2010 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies


2011 9th IEEE International Conference on Control and Automation (ICCA)

IEEE ICCA 2001 aims to create a forum for scientists and practicing engineers throughout the world to present the latest research findings and ideas in the areas of control and automation.



Periodicals related to White noise

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Circuits and Systems I: Regular Papers, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on

Methods, algorithms, and human-machine interfaces for physical and logical design, including: planning, synthesis, partitioning, modeling, simulation, layout, verification, testing, and documentation of integrated-circuit and systems designs of all complexities. Practical applications of aids resulting in producible analog, digital, optical, or microwave integrated circuits are emphasized.


Lightwave Technology, Journal of

All aspects of optical guided-wave science, technology, and engineering in the areas of fiber and cable technologies; active and passive guided-wave componentry (light sources, detectors, repeaters, switches, fiber sensors, etc.); integrated optics and optoelectronics; systems and subsystems; new applications; and unique field trials.


Microwave Theory and Techniques, IEEE Transactions on

Microwave theory, techniques, and applications as they relate to components, devices, circuits, and systems involving the generation, transmission, and detection of microwaves.




Xplore Articles related to White noise

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Multi-emitting/multi-receiving points MMFSK for power-line communications

Bamidele Adebisi; Saqib Ali; Bahram Honary 2009 IEEE International Symposium on Power Line Communications and Its Applications, 2009

This paper investigates multiple emitting/multiple receiving points diversity technique for multi-wire transmission over frequency selective multi-wire channels. To be resilient to the inter-symbol interference (ISI) present in the frequency selective fading, diversity technique must be used in conjunction with wide band multi-carrier modulation (MCM). We introduce an efficient space-frequency (SF) coded multi-tone M-ary multi-level FSK (M3FSK) for indoor communications. Simulation ...


A scalable watermarking scheme for the scalable audio coder

Zhi Li; Q. B. Sun; Y. Lian; R. S. Yu IEEE International Conference on Communications, 2005. ICC 2005. 2005, 2005

In this paper, we describe a scalable (i.e., lossy-to-lossless) watermarking scheme which overcomes the problem of non-invertible distortion introduced by the watermark signal. The scheme is based on a standardized scalable audio coder (R.S. Yu, et al, 2004) -as a result, the embedded watermark inherits the scalability of the audio coder. We elaborate how the scalability can be used to ...


Performance of Fourier-based and wavelet-based OFDM for DVB-T systems

Khaizuran Abdullah; Zahir M. Hussain 2007 Australasian Telecommunication Networks and Applications Conference, 2007

We present a comparative study on Fourier-based OFDM (FFT-OFDM) and wavelet- based OFDM (DWT-OFDM) in DVB-T system (DWT being the discrete wavelet transform).We found that the DWT-OFDM outperforms FFT-OFDM in AWGN and Rayleigh fading channels. For AWGN channel, the gain in term of energy per bit to noise ratio Eb/No was improved by about 5 dB when the system used ...


Realizing MIMO gains without user cooperation in large single-antenna wireless networks

H. Bolcskei; R. U. Nabar International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings., 2004

This paper considers wireless networks where L single-antenna source- destination terminal pairs communicate concurrently through a common set of K single-antenna relay terminals using one-hop relaying. It is shown that asymptotically in K, the sum capacity of this network scales as C=(L/2) log (K)+O(1) and can be achieved without cooperation between any of the terminals.


Adaptive optimization of receiver chip waveform for DS/SSMA with random spreading sequences

Joon Ho Cho; J. S. Lehnert MILCOM 1999. IEEE Military Communications. Conference Proceedings (Cat. No.99CH36341), 1999

We consider the receiver optimization problem in asynchronous direct-sequence spread-spectrum multiple-access (DS/SSMA) communications with random spreading sequences. It is shown that the minimum average bit error rate of a correlation receiver is achieved by adaptively optimizing the receiver chip waveform depending on the energy and delay profiles of interfering users. Instead of directly solving an integral equation which gives the ...


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Educational Resources on White noise

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eLearning

Multi-emitting/multi-receiving points MMFSK for power-line communications

Bamidele Adebisi; Saqib Ali; Bahram Honary 2009 IEEE International Symposium on Power Line Communications and Its Applications, 2009

This paper investigates multiple emitting/multiple receiving points diversity technique for multi-wire transmission over frequency selective multi-wire channels. To be resilient to the inter-symbol interference (ISI) present in the frequency selective fading, diversity technique must be used in conjunction with wide band multi-carrier modulation (MCM). We introduce an efficient space-frequency (SF) coded multi-tone M-ary multi-level FSK (M3FSK) for indoor communications. Simulation ...


A scalable watermarking scheme for the scalable audio coder

Zhi Li; Q. B. Sun; Y. Lian; R. S. Yu IEEE International Conference on Communications, 2005. ICC 2005. 2005, 2005

In this paper, we describe a scalable (i.e., lossy-to-lossless) watermarking scheme which overcomes the problem of non-invertible distortion introduced by the watermark signal. The scheme is based on a standardized scalable audio coder (R.S. Yu, et al, 2004) -as a result, the embedded watermark inherits the scalability of the audio coder. We elaborate how the scalability can be used to ...


Performance of Fourier-based and wavelet-based OFDM for DVB-T systems

Khaizuran Abdullah; Zahir M. Hussain 2007 Australasian Telecommunication Networks and Applications Conference, 2007

We present a comparative study on Fourier-based OFDM (FFT-OFDM) and wavelet- based OFDM (DWT-OFDM) in DVB-T system (DWT being the discrete wavelet transform).We found that the DWT-OFDM outperforms FFT-OFDM in AWGN and Rayleigh fading channels. For AWGN channel, the gain in term of energy per bit to noise ratio Eb/No was improved by about 5 dB when the system used ...


Realizing MIMO gains without user cooperation in large single-antenna wireless networks

H. Bolcskei; R. U. Nabar International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings., 2004

This paper considers wireless networks where L single-antenna source- destination terminal pairs communicate concurrently through a common set of K single-antenna relay terminals using one-hop relaying. It is shown that asymptotically in K, the sum capacity of this network scales as C=(L/2) log (K)+O(1) and can be achieved without cooperation between any of the terminals.


Adaptive optimization of receiver chip waveform for DS/SSMA with random spreading sequences

Joon Ho Cho; J. S. Lehnert MILCOM 1999. IEEE Military Communications. Conference Proceedings (Cat. No.99CH36341), 1999

We consider the receiver optimization problem in asynchronous direct-sequence spread-spectrum multiple-access (DS/SSMA) communications with random spreading sequences. It is shown that the minimum average bit error rate of a correlation receiver is achieved by adaptively optimizing the receiver chip waveform depending on the energy and delay profiles of interfering users. Instead of directly solving an integral equation which gives the ...


More eLearning Resources

IEEE.tv Videos

Tutorial of Shlomo Engelberg on use of noise to make measurements
Noise Enhanced Information Systems: Denoising Noisy Signals with Noise
IMS 2011 Microapps - A Comparison of Noise Parameter Measurement Techniques
IMS 2011 Microapps - Ultra Low Phase Noise Measurement Technique Using Innovative Optical Delay Lines
IEEE Innovation Day 2011-Innovation Day Keynote Address
APEC Speaker Highlights: Robert White, Chief Engineer, Embedded Power
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 7 of 7 - SQUID-based noise thermometers for sub-Kelvin thermometry
IMS 2012 Microapps - Phase Noise Choices in Signal Generation: Understanding Needs and Tradeoffs Riadh Said, Agilent
A Transformer-Based Inverted Complementary Cross-Coupled VCO with a 193.3dBc/Hz FoM and 13kHz 1/f3 Noise Corner: RFIC Interactive Forum
MicroApps: Phase Noise, Allan Variance, and Frequency Reference (Agilent Technologies)
A Low Power High Performance PLL with Temperature Compensated VCO in 65nm CMOS: RFIC Interactive Forum
MicroApps: Recent Improvement on Y-Factor Noise Figure Measurement Uncertainty (Agilent Technologies)
Summary and Next Steps - Internet Inclusion: Global Connect Stakeholders Advancing Solutions, Washington DC, 2016
MicroApps: Anatomy of PXI (National Instruments)
Where's my electric car?
MicroApps: Impairment Calibration in Quadrature Systems (National Instruments)
2013 IEEE & RSE Wolfson James Clerk Maxwell Award
Day Two Opening Remarks by Megan Smith - Internet Inclusion: Global Connect Stakeholders Advancing Solutions, Washington DC, 2016
MicroApps: 802D11ac: Increased Throughput, but How Much? (National Instruments)
Mouser Electronics Warehouse Tour with Grant Imahara

IEEE-USA E-Books

  • Computation of the Exponential Matrix

    Although state variable concepts are a part of modern control theory, they have not been extensively applied in communication theory. The purpose of this book is to demonstrate how the concepts and methods of state variables can be used advantageously in analyzing a variety of communication theory problems. In contrast to the impulse response and covariance function description of systems and random processes commonly used in the analysis of communication problems, Professor Baggeroer points out that a state variable approach describes these systems and processes in terms of differential equations and their excitation, which is usually a white-noise process. Theoretically, such a description provides a very general characterization on which a large class of systems, possibly time varying and nonlinear, can be modeled. Practically, the state variable approach often provides a more representative physical description of the actual dynamics of the systems involved and, most importantly, can lead to solution techniques that are readily implemented on a computer and that yield specific numerical results.The work focuses on how state variables can be used to solve several of the integral equations that recur in communication theory including, for example, the Kahunen-Loeve theorem, the detection of a known signal in the presence of a colored noise, and the Wiener-Hopf equation. The book is divided into two parts. The first part deals with the development from first principles of the state variable solution techniques for homogeneous and inhomogeneous Fredholm integral solutions. The second part considers two specific applications of the author's integral equation theory: to optimal signal design for colored noise channels, and to linear estimation theory.The main thrust o f the material presented in this book is toward finding effective numerical procedures for analyzing complex problems. Professor Baggeroer has combined several different mathematical tools not commonly used together to attack the detection and signal design problems. Numerous examples are presented throughout the book to emphasize the numerical aspects of the author's methods. If the reader is familiar with detection and estimation theory and with deterministic state variable concepts, the ideas, techniques, and results contained in this work will prove highly relevant, if not directly applicable, to a large number of communication theory problems.MIT Research Monograph No. 61

  • Bounds on the Bayes and Minimax Risk for Signal Parameter Estimation

    In estimating the parameter from a parametrized signal problem (with 0 L) observed through Gaussian white noise, four useful and computable lower bounds for the Bayes risk were developed. For problems with different L and different signal to noise ratios, some bounds are superior to the others. The lower bound obtained from taking the maximum of the four, serves not only as a good lower bound for the Bayes risk but also as a good lower bound tor the minimax risks. Threshold behavior of the Bayes risk is also evident as shown in our lower bound.

  • Noise and Frequency Stability

    This chapter contains sections titled: White Noise Colored Noises Small and Band Limited Perturbations of Sinusoidal Signals Statistical Approach Power Spectra of Stochastic Processes

  • Bibliography

    Although state variable concepts are a part of modern control theory, they have not been extensively applied in communication theory. The purpose of this book is to demonstrate how the concepts and methods of state variables can be used advantageously in analyzing a variety of communication theory problems. In contrast to the impulse response and covariance function description of systems and random processes commonly used in the analysis of communication problems, Professor Baggeroer points out that a state variable approach describes these systems and processes in terms of differential equations and their excitation, which is usually a white-noise process. Theoretically, such a description provides a very general characterization on which a large class of systems, possibly time varying and nonlinear, can be modeled. Practically, the state variable approach often provides a more representative physical description of the actual dynamics of the systems involved and, most importantly, can lead to solution techniques that are readily implemented on a computer and that yield specific numerical results.The work focuses on how state variables can be used to solve several of the integral equations that recur in communication theory including, for example, the Kahunen-Loeve theorem, the detection of a known signal in the presence of a colored noise, and the Wiener-Hopf equation. The book is divided into two parts. The first part deals with the development from first principles of the state variable solution techniques for homogeneous and inhomogeneous Fredholm integral solutions. The second part considers two specific applications of the author's integral equation theory: to optimal signal design for colored noise channels, and to linear estimation theory.The main thrust o f the material presented in this book is toward finding effective numerical procedures for analyzing complex problems. Professor Baggeroer has combined several different mathematical tools not commonly used together to attack the detection and signal design problems. Numerous examples are presented throughout the book to emphasize the numerical aspects of the author's methods. If the reader is familiar with detection and estimation theory and with deterministic state variable concepts, the ideas, techniques, and results contained in this work will prove highly relevant, if not directly applicable, to a large number of communication theory problems.MIT Research Monograph No. 61

  • Adaptive Stochastic Resonance

    This chapter shows how adaptive systems can learn to add an optimal amount of noise to some nonlinear feedback systems. Noise can improve the signal-to- noise ratio of many nonlinear dynamical systems. This ?>stochastic resonance?> effect occurs in a wide range of physical and biological systems. The SR effect may also occur in engineering systems in signal processing, communications, and control. The noise energy can enhance the faint periodic signals or faint broadband signals that force the dynamical systems. Most SR studies assume full knowledge of a system's dynamics and its noise and signal structure. Fuzzy and other adaptive systems can learn to induce SR based only on samples from the process. These samples can tune a fuzzy system's, if-then rules so that the fuzzy system approximates the dynamical system and its noise response. The chapter derives the SR optimality conditions that any stochastic learning system should try to achieve. The adaptive system learns the SR effect as the system performs a stochastic gradient ascent on the signal-to- noise ratio. The stochastic learning scheme does not depend on a fuzzy system or any other adaptive system. The learning process is slow and noisy and can require heavy computation. Robust noise suppressors can improve the learning process when we can estimate the impulsiveness of the learning terms. Simulations test this SR learning scheme on the popular quartic-bistable dynamical system and on other dynamical systems. The driving noise types range from Gaussian white noise to impulsive noise to chaotic noise. Simulations suggest that fuzzy techniques and perhaps other adaptive ?>black box?> or ?>intelligent?> techniques can induce SR in many cases when users cannot state the exact form of the dynamical systems. The appendix derives the basic additive fuzzy system and the neural-like learning laws that tune it.

  • Some Lower Bounds on Signal Parameter Estimation

    New bounds are presented for the maximum accuracy with which parameters of signals imbedded in white noise can be estimated. The bounds are derived by comparing the estimation problem with related optimal detection problems. They are, with few exceptions, independent of the bias and include explicitly the dependence on the a priori interval. The new results are compared with previously known results.

  • Pseudorandom Signal Generation

    In CDMA system, the data-modulated carrier is usually generated using a shift register whose contents during each time interval are a linear combination of the contents of the register during the preceding time interval. A pseudorandom sequence generated by such a shift register has autocorrelation properties similar to those of white noise. In this chapter, we describe the generation of pseudorandom sequences and study randomness properties of such sequences.

  • Reduction of Quantizing Noise by Use of FeedbackReceived June 25, 1962. This paper is based in part on n dissertation by H. Austin Spung, III for the degree of Doctor of Engineering in the Yale Sehool of Enginccring. The dissertation was supported by Bell Telephone Laborntories, Murray Hill, N. J

    Many information transmission systems use a discrete (digital) channel. Since most input signals are continuous, the conversion cannot be accomplished without an error which, for many cases, may be considered to have the characteristics of white noise. A method has been suggested to reduce this error by using linear feedback around the quantizer to shape the noise spectrum. Each output sample will then contain not only signal information but also information about the errors in the previous samples. Such a system is analyzed for random input signals of a rather general nature. Under assumptions allowing essentially no clipping in the quantizer and setting an upper bound on the coherence between samples of the input signal, the system can be represented by a simple model. A comparison is made of the mean-square error with and without feedback. It is shown that considerable reduction in noise power can be obtained by a slight increase in sampling rate. For example, an increase of 25 per cent in the sampling rate provides a 95 per cent decrease in error-noise power. This is equivalent to having about two additional bits per sample in the transmission channel.

  • The Experimental Study and Computer Simulation of Fish Behavior in the Uniform Environment

    We have studied experimentally the carp exploratory behavior in the circular corridor under uniform illumination and in the absence of external landmarks. The behavior was not uniform despite the uniformity of environment The alternation of two modes of behavior, search (accompanied by high turn frequency) and ranging (with few or no turns), was observed. The existence of distinct modes manifested itself in the positive correlation between turn frequencies at successive time intervals, as well as in abrupt switching between high and low turn frequencies. We developed a model based on the one- dimension map: X n = λn X n−1 (1X n−1), where X is the tendency to turn, and parameter λ is influenced by Gaussian white noise caused by spontaneous nervous activity. There was a correlation between successive values of the tendency, as well as switches from series of low values to series of high ones under influence of the noise. The behavior of the model is the case of noise- induced phase transitions and matches experimental data qualitatively. It is concluded that a noise generated by the nervous system can play a role in the shaping of animal behavior.

  • RF Signals

    This chapter lays the foundation for wide-band signals. Normally, antennas and signals do not appear in the same book, but timed arrays are designed for realistic time-varying signals and scenarios. The chapter covers the basics of baseband and passband RF signals. It deals with polarization and bandwidth. The chapter presents two types of signals: a carrier signal that is a high- frequency sinusoid and a lower frequency information (baseband) signal. White noise is an unwanted random signal that has a flat spectrum over the frequency range of interest. If normal distribution with zero mean describes the noise samples, then the signal is Gaussian white noise. The polarization of the carrier describes how the magnitude and orientation of the electric field vector changes as a function of time. The carrier frequency determines which frequency band the system operates.



Standards related to White noise

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Jobs related to White noise

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