Cyclostationarity In Communications And Signal Processing
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Cyclostationarity In Communications And Signal Processing
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Author : William A. Gardner
language : en
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Release Date : 1994
Cyclostationarity In Communications And Signal Processing written by William A. Gardner and has been published by Institute of Electrical & Electronics Engineers(IEEE) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Mathematics categories.
From this book, you will learn new concepts, methods, and algorithms for performing signal processing tasks and designing and analyzing communications systems.
Cyclostationary Processes And Time Series
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Author : Antonio Napolitano
language : en
Publisher: Academic Press
Release Date : 2019-10-24
Cyclostationary Processes And Time Series written by Antonio Napolitano and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-24 with Technology & Engineering categories.
Many processes in nature arise from the interaction of periodic phenomena with random phenomena. The results are processes that are not periodic, but whose statistical functions are periodic functions of time. These processes are called cyclostationary and are an appropriate mathematical model for signals encountered in many fields including communications, radar, sonar, telemetry, acoustics, mechanics, econometrics, astronomy, and biology. Cyclostationary Processes and Time Series: Theory, Applications, and Generalizations addresses these issues and includes the following key features. Presents the foundations and developments of the second- and higher-order theory of cyclostationary signals Performs signal analysis using both the classical stochastic process approach and the functional approach for time series Provides applications in signal detection and estimation, filtering, parameter estimation, source location, modulation format classification, and biological signal characterization Includes algorithms for cyclic spectral analysis along with Matlab/Octave code Provides generalizations of the classical cyclostationary model in order to account for relative motion between transmitter and receiver and describe irregular statistical cyclicity in the data
Generalizations Of Cyclostationary Signal Processing
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Author : Antonio Napolitano
language : en
Publisher: John Wiley & Sons
Release Date : 2012-12-07
Generalizations Of Cyclostationary Signal Processing written by Antonio Napolitano and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-07 with Technology & Engineering categories.
The relative motion between the transmitter and the receiver modifies the nonstationarity properties of the transmitted signal. In particular, the almost-cyclostationarity property exhibited by almost all modulated signals adopted in communications, radar, sonar, and telemetry can be transformed into more general kinds of nonstationarity. A proper statistical characterization of the received signal allows for the design of signal processing algorithms for detection, estimation, and classification that significantly outperform algorithms based on classical descriptions of signals.Generalizations of Cyclostationary Signal Processing addresses these issues and includes the following key features: Presents the underlying theoretical framework, accompanied by details of their practical application, for the mathematical models of generalized almost-cyclostationary processes and spectrally correlated processes; two classes of signals finding growing importance in areas such as mobile communications, radar and sonar. Explains second- and higher-order characterization of nonstationary stochastic processes in time and frequency domains. Discusses continuous- and discrete-time estimators of statistical functions of generalized almost-cyclostationary processes and spectrally correlated processes. Provides analysis of mean-square consistency and asymptotic Normality of statistical function estimators. Offers extensive analysis of Doppler channels owing to the relative motion between transmitter and receiver and/or surrounding scatterers. Performs signal analysis using both the classical stochastic-process approach and the functional approach, where statistical functions are built starting from a single function of time.
Cyclostationary Signal Processing For Narrowband Power Line Communications
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Author : Nir Shlezinger
language : en
Publisher:
Release Date : 2017
Cyclostationary Signal Processing For Narrowband Power Line Communications written by Nir Shlezinger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
The growing interest in smart grid applications has drawn considerable attention to power line communications (PLC) as a central communications medium for smart grids. Specifically, network control and grid applications are allocated the frequency band of 0 − 500 kHz, commonly referred to as the narrowband PLC channel. As this frequency band is characterized by strong cyclostationary noise, multipath signal propagation, and periodically time varying channel conditions, narrowband PLC channels fall into the class of periodic channels with finite memory. In this dissertation we study communications over periodic channels with finite memory, utilizing the theory of cyclostationary processes to address two major aspects: information-theoretic performance bounds, and practical algorithms for realizing the predicted performance gains. In the first part of the dissertation, we study the fundamental rate limits of periodic channels with finite memory, focusing on the capacity of point-to-point (PtP) periodic channels, i.e., without security constraints, as well as the secrecy capacity of periodic wiretap channels, i.e., with security constraints. By proving a bijection between PtP periodic channels and time-invariant multiple input-multiple output (MIMO) channels with finite memory, we characterize the capacity of periodic channels via the capacity of the equivalent time-invariant MIMO channels. As part of the capacity derivation, we characterize the capacity achieving transmission scheme, which leads to a practical code construction that approaches capacity. Motivated by the bijection between periodic channels and time-invariant MIMO channels with finite memory, we study the secrecy capacity of time-invariant Gaussian MIMO channels with finite memory. Although the time-invariant Gaussian MIMO channel with finite memory is a very common channel model in wireless communications, as well as in wireline communications, this is the first time that the secrecy capacity has been characterized for this channel model. As the resulting secrecy capacity expression is given by a non-convex optimization problem, we derive a simple necessary and sufficient condition for positive secrecy capacity, and obtain an explicit expression for the secrecy capacity in the scalar case. Then, we show how our result directly leads to the secrecy capacity of periodic channels. In the second part of the dissertation, we study practical algorithms which utilize the theory of cyclostationarity to approach the predicted performance gains in periodic channels. First, we propose a receiver algorithm for the recovery of orthogonal frequency division multiplexing (OFDM) modulated signals in periodic channels. The proposed receiver uses frequency-shift filtering to exploit the cyclostationary properties of both the additive channel noise and the information signal. We explicitly derive the coefficients of the filter which minimize the time-averaged mean-squared error (TA-MSE), and propose an adaptive implementation, which is based on the recursive least-squares (RLS) algorithm. Numerical simulations show that the proposed receiver demonstrates a substantial performance gain over previously proposed receivers. Finally, motivated by the fact that most adaptive algorithms, such as the least mean-squares (LMS) and the RLS, are designed for stationary signals, we rigorously study the optimal adaptive filtering of cyclostationary signals. We first identify the relevant objective as the TA-MSE, and obtain an adaptive algorithm, which we refer to as time-averaged LMS (TA-LMS), as the stochastic approximation of the TA-MSE minimizer. We provide a comprehensive transient and steady-state performance analysis, and derive conditions for convergence and stability, which are shown to accurately characterize the performance of the adaptive algorithm in a simulation study.-- abstract.
Cyclostationary Signal Processing For Communication Systems
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Author : Veluppillai Balakrishnar Manimohan
language : en
Publisher:
Release Date : 2000
Cyclostationary Signal Processing For Communication Systems written by Veluppillai Balakrishnar Manimohan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.
Cyclostationary Signal Processing In Digital Communication Systems
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Author :
language : en
Publisher:
Release Date : 1999
Cyclostationary Signal Processing In Digital Communication Systems written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with categories.
Our focus in this ARO research project is to investigate and study the application of cyclostationary signal processing in digital communication systems. We consider several important areas of application including channel equalization, co-channel interference rejection, and antenna beamforming. During this report period, we developed a number of new algorithm for the blind identification and equalization of multiple input multiple output systems. These methods are more robust and accurate than many existing methods. Blind separation of signals using both the higher order and second order (cyclostationary) statistics are studied. Several simple methods are proposed. We also developed a finite window decorrelator receiver for asynchronous CDMA systems. This new algorithm is near far resistant even when the processing window is rather short, overcoming the weakness of the conventional decorrelator that relies on large (almost infinite) window size. In another important study, we investigate the applicability of blind equalization algorithms in practical wireless cellular systems such as the GSM. Since the GSM transmission is nonlinear and is in burst mode, blind equalization algorithms must be adopted for this nonlinear modulation and must converge within each frame of data burst. Using a linearization method, we simplied the nonlinear GMSK signal into an equivalent linear QAM signal. A de-rotation scheme further allowed channel diversity be extracted without the need of additional downlink antennae. Successful blind equalization and semi-blind equalization results for GSM are established.
Exploitation Of Cyclostationarity For Signal Parameter Estimation And System Identification
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Author :
language : en
Publisher:
Release Date : 1992
Exploitation Of Cyclostationarity For Signal Parameter Estimation And System Identification written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with categories.
There are three particularly notable accomplishments during the present reporting period. The first is the development of a substantial generalization of our SCORE algorithm for blind adaptive spatial filtering to the Programmable Canonical Correlation Analyzer (PCCA) which can exploit any of a number of signal properties to distinguish between signals of interest (to be beamformed on) and signals not of interest (to be nulled out). The second is a new algorithm for blind adaptive channel equalization for PAM and digital QAM signals, and for either single or multiple channels. The third notable achievement is the completion of the edited volume Cyclostationarity in Communications and Signal Processing.
Statistical Signal Processing Of Complex Valued Data
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Author : Peter J. Schreier
language : en
Publisher: Cambridge University Press
Release Date : 2010-02-04
Statistical Signal Processing Of Complex Valued Data written by Peter J. Schreier and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-04 with Technology & Engineering categories.
Complex-valued random signals are embedded in the very fabric of science and engineering, yet the usual assumptions made about their statistical behavior are often a poor representation of the underlying physics. This book deals with improper and noncircular complex signals, which do not conform to classical assumptions, and it demonstrates how correct treatment of these signals can have significant payoffs. The book begins with detailed coverage of the fundamental theory and presents a variety of tools and algorithms for dealing with improper and noncircular signals. It provides a comprehensive account of the main applications, covering detection, estimation, and signal analysis of stationary, nonstationary, and cyclostationary processes. Providing a systematic development from the origin of complex signals to their probabilistic description makes the theory accessible to newcomers. This book is ideal for graduate students and researchers working with complex data in a range of research areas from communications to oceanography.
Signal Processing For Communications
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Author : Paolo Prandoni
language : en
Publisher: EPFL Press
Release Date : 2008-08-19
Signal Processing For Communications written by Paolo Prandoni and has been published by EPFL Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08-19 with Technology & Engineering categories.
Taking a novel, less classical approach to the subject, the authors have written this book with the conviction that signal processing should be fun. Their treatment is less focused on the mathematics and more on the conceptual aspects, allowing students to think about the subject at a higher conceptual level, thus building the foundations for more advanced topics and helping students solve real-world problems. The last chapter pulls together the individual topics into an in-depth look at the development of an end-to-end communication system. Richly illustrated with examples and exercises in each chapter, the book offers a fresh approach to the teaching of signal processing to upper-level undergraduates.
Communication Signal Processing Information Technology
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Author : Faouzi Derbel
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2017-03-20
Communication Signal Processing Information Technology written by Faouzi Derbel and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-20 with Technology & Engineering categories.
Communication & Signal Processing involving topics such as: Communications Theory and Techniques, Communications Protocols and Standards, Telecommunication Systems, Modulation and Signal Design, Coding Compression and Information Theory, Communication Networks, Wireless Communication, Optical Communication, Wireless Sensor Networks, MIMO Systems, MIMO Communications, Signal Processing for Communications e-Learning. Digital Signal Processing, Multiresolution Analysis, Wavelets, Smart Antennas, Adaptive Antennas, Theory and Practice of Signal Processing, Digital Signal Processing, Speech, Image, Video Signal Processing, Person Authentication, Biometry, Medical Imaging, Remote Sensing Analysis, Image Indexation, Image compression, Data Fusion and Pattern Recognition, Parallel Computing, Artificial Intelligence, Information Retrieval.