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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Multiple Access Performance of FH/NCMFSK with List Decoding

M. A. Creighton; P. J. Crepeau; J. K. Omura MILCOM 1987 - IEEE Military Communications Conference - Crisis Communications: The Promise and Reality, 1987

Multiple Access (MA) performance of list metric decoding is evaluated for frequency hopped (FH), noncoherent M-ary frequency shift keying (NCMFSK). In a list decoding receiver, the demodulator constructs an energy-ordered list of the channel symbols, and the decoder then awards each symbol a score based on its ranking in this list. We considered two cases: in one, the decoder assigns ...


An efficient method for simulating fractional stable motion

Wei Biao Wu; G. Michailidis; Danlu Zhang Proceedings of the Winter Simulation Conference, 2002

An efficient methodology for simulating paths of fractional stable motion is presented. The proposed approach is based on invariance principles for linear processes. A detailed analysis of the error terms involved is given and the performance of the method is assessed through an extensive simulation study.


Control Over Wireless Communication Channel for Continuous-Time Systems

C. D. Charalambous; S. Z. Denic; A. Farhadi Proceedings of the 44th IEEE Conference on Decision and Control, 2005

This paper is concerned with the control of one dimensional continuous time linear Gaussian systems over additive white noise wireless fading channels subject to capacity constraints. Necessary and sufficient conditions are derived, for bounded asymptotic and asymptotic observability and stabilizability in the mean square sense, for controlling such systems. For the case of a noiseless time-invariant system controlled over a ...


An adaptive method to increase the S/N ratio of a digital signal by biased distribution of bit energy

P. Iyengar; R. Sethuraman 2004 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communications, 2004

This method is based on the fact that if noise affects the waveform representing a bit of a binary signal it causes a change in value of the bit and hence causes an error. However if it is to affect the lesser significant bits, the error is lower than when it inflicts an error in one of the more significant ...


Serial MSK-Type Detection of Partial Response Continuous Phase Modulation

A. Svensson; C. Sundberg IEEE Transactions on Communications, 1985

Partial response continuous phase modulation (CPM) schemes have a high spectrum utilization and also a high immunity to nonlinear distortion, since they have a constant envelope. Schemes with high power efficiency can also be designed when they are coherently detected with a Viterbi detector. These schemes are sometimes complex, however. In this paper two minimum-shift-keyed (MSK)type receivers are studied. The ...


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Educational Resources on White noise

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eLearning

Multiple Access Performance of FH/NCMFSK with List Decoding

M. A. Creighton; P. J. Crepeau; J. K. Omura MILCOM 1987 - IEEE Military Communications Conference - Crisis Communications: The Promise and Reality, 1987

Multiple Access (MA) performance of list metric decoding is evaluated for frequency hopped (FH), noncoherent M-ary frequency shift keying (NCMFSK). In a list decoding receiver, the demodulator constructs an energy-ordered list of the channel symbols, and the decoder then awards each symbol a score based on its ranking in this list. We considered two cases: in one, the decoder assigns ...


An efficient method for simulating fractional stable motion

Wei Biao Wu; G. Michailidis; Danlu Zhang Proceedings of the Winter Simulation Conference, 2002

An efficient methodology for simulating paths of fractional stable motion is presented. The proposed approach is based on invariance principles for linear processes. A detailed analysis of the error terms involved is given and the performance of the method is assessed through an extensive simulation study.


Control Over Wireless Communication Channel for Continuous-Time Systems

C. D. Charalambous; S. Z. Denic; A. Farhadi Proceedings of the 44th IEEE Conference on Decision and Control, 2005

This paper is concerned with the control of one dimensional continuous time linear Gaussian systems over additive white noise wireless fading channels subject to capacity constraints. Necessary and sufficient conditions are derived, for bounded asymptotic and asymptotic observability and stabilizability in the mean square sense, for controlling such systems. For the case of a noiseless time-invariant system controlled over a ...


An adaptive method to increase the S/N ratio of a digital signal by biased distribution of bit energy

P. Iyengar; R. Sethuraman 2004 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communications, 2004

This method is based on the fact that if noise affects the waveform representing a bit of a binary signal it causes a change in value of the bit and hence causes an error. However if it is to affect the lesser significant bits, the error is lower than when it inflicts an error in one of the more significant ...


Serial MSK-Type Detection of Partial Response Continuous Phase Modulation

A. Svensson; C. Sundberg IEEE Transactions on Communications, 1985

Partial response continuous phase modulation (CPM) schemes have a high spectrum utilization and also a high immunity to nonlinear distortion, since they have a constant envelope. Schemes with high power efficiency can also be designed when they are coherently detected with a Viterbi detector. These schemes are sometimes complex, however. In this paper two minimum-shift-keyed (MSK)type receivers are studied. 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

  • 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.

  • Appendix II: Gaussian White Noise

    A practical approach to obtaining nonlinear dynamic models from stimulus- response data Nonlinear modeling of physiological systems from stimulus-response data is a long-standing problem that has substantial implications for many scientific fields and associated technologies. These disciplines include biomedical engineering, signal processing, neural networks, medical imaging, and robotics and automation. Addressing the needs of a broad spectrum of scientific and engineering researchers, this book presents practicable, yet mathematically rigorous methodologies for constructing dynamic models of physiological systems. Nonlinear Dynamic Modeling of Physiological Systems provides the most comprehensive treatment of the subject to date. Starting with the mathematical background upon which these methodologies are built, the book presents the methodologies that have been developed and used over the past thirty years. The text discusses implementation and computational issues and gives il ustrative examples using both synthetic and experimental data. The author discusses the various modeling approaches–nonparametric, including the Volterra and Wiener models; parametric; modular; and connectionist–and clearly identifies their comparative advantages and disadvantages along with the key criteria that must guide successful practical application. Selected applications covered include neural and sensory systems, cardiovascular and renal systems, and endocrine and metabolic systems. This lucid and comprehensive text is a valuable reference and guide for the community of scientists and engineers who wish to develop and apply the skills of nonlinear modeling to physiological systems.

  • Mismatch¿¿¿Shaping

    This chapter describes techniques that shape mismatch¿¿¿induced errors, with the remarkable feature that slowly¿¿¿changing errors are accommodated automatically. Much of the difference between the two second¿¿¿order shapers is due to the difference in their MTFs, but the vector¿¿¿based approach appears to fare slightly better even when identical MTFs are used. The use of higher¿¿¿order modulation can be applied provided the range of the secondary digital¿¿¿to¿¿¿analog converters DAC(s) is increased appropriately. An important feature of the mismatch¿¿¿shaping schemes is that they operate without knowledge of the actual element errors. The chapter states that choosing the elements randomly turns the errors caused by static element mismatch into white noise, whereas selecting the elements in a rotational fashion accomplishes first¿¿¿order shaping. Using the Bi¿¿¿DWA or the dithered tree¿¿¿structure variants of first¿¿¿order mismatch¿¿¿shaping was found to reduce or eliminate tones, respectively, at the expense of mismatch suppression. The chapter suggests that transition¿¿¿error shaping is in its infancy and the ambitious reader is encouraged to develop it further.

  • 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.

  • 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

  • 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.

  • 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.

  • 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.

  • Quantization Noise Spectra

    Uniform qunntizers play a fundamental role in digital communication systems and have been the subject of extensive study for many decades, The inherent nonlinearity of quantizers makes their analysis hoth difficult and Interesting, It usually has been accomplished either by assuming the quantizer noise to be a signal-independent, uniform white random process or by replacing the quantizer by a deterministic linear device, or by combining the two assumptions. Such linearizing approximations simplify the analysis and permit the use of linear systems techniques, but few results exist quantifying how good such approximations are for specific systems, These complications are magnified when the quantizer is inside a feedback loop, as for Sigma-Delta modulators. Exact descriptions of the moments and spectra of quantizer noise have been developed recently for the special case of single-loop, multistage and multiloop Signul-Delta modulators. These results demonstrate. that the white noise and linearization assumptions can be quite poor approximations in some systems and quite good in others. It turns out that many of the techniques used in the analysis were first applied to the analysis of quantizers by Clavier, Panter, and Grieg (1947) in pioneering (but often overlooked) work that preceded Bennett's (1948) classic study of quantization noise spectra. We take advantage of the benefit of hindsight to develop several results describing the behavior of quantization noise in a unified and simplified manner. Exact formulas for quantizer noise spectra are developed and applied to a variety of systems and inputs, including scalar quantization (PCM), dithered PCM, Sigma-Delta modulation, dithered Sigma-Delta modulation, two-stage Sigma-Delta modulation, and second-order Sigma-Delta modulation.

  • Subject Index

    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



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