Signals Systems Inference

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Signals, Systems and Inference

Author : Alan V. Oppenheim
Publisher : Pearson
ISBN 13 : 0133944212
Total Pages : 604 pages
Book Rating : 4.1/5 (339 download)

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Book Synopsis Signals, Systems and Inference by : Alan V. Oppenheim

Download or read book Signals, Systems and Inference written by Alan V. Oppenheim and published by Pearson. This book was released on 2015-03-30 with total page 604 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For upper-level undergraduate courses in deterministic and stochastic signals and system engineering An Integrative Approach to Signals, Systems and Inference Signals, Systems and Inference is a comprehensive text that builds on introductory courses in time- and frequency-domain analysis of signals and systems, and in probability. Directed primarily to upper-level undergraduates and beginning graduate students in engineering and applied science branches, this new textbook pioneers a novel course of study. Instead of the usual leap from broad introductory subjects to highly specialized advanced subjects, this engaging and inclusive text creates a study track for a transitional course. Properties and representations of deterministic signals and systems are reviewed and elaborated on, including group delay and the structure and behavior of state-space models. The text also introduces and interprets correlation functions and power spectral densities for describing and processing random signals. Application contexts include pulse amplitude modulation, observer-based feedback control, optimum linear filters for minimum mean-square-error estimation, and matched filtering for signal detection. Model-based approaches to inference are emphasized, in particular for state estimation, signal estimation, and signal detection. The text explores ideas, methods and tools common to numerous fields involving signals, systems and inference: signal processing, control, communication, time-series analysis, financial engineering, biomedicine, and many others. Signals, Systems, and Inference is a long-awaited and flexible text that can be used for a rigorous course in a broad range of engineering and applied science curricula.

Signals, Systems and Inference, Global Edition

Author : Alan V. Oppenheim
Publisher :
ISBN 13 : 9781292156200
Total Pages : 608 pages
Book Rating : 4.1/5 (562 download)

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Book Synopsis Signals, Systems and Inference, Global Edition by : Alan V. Oppenheim

Download or read book Signals, Systems and Inference, Global Edition written by Alan V. Oppenheim and published by . This book was released on 2016-11-03 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: For upper-level undergraduate courses in deterministic and stochastic signals and system engineering An Integrative Approach to Signals, Systems and Inference Signals, Systems and Inference is a comprehensive text that builds on introductory courses in time- and frequency-domain analysis of signals and systems, and in probability. Directed primarily to upper-level undergraduates and beginning graduate students in engineering and applied science branches, this new textbook pioneers a novel course of study. Instead of the usual leap from broad introductory subjects to highly specialized advanced subjects, this engaging and inclusive text creates a study track for a transitional course. Properties and representations of deterministic signals and systems are reviewed and elaborated on, including group delay and the structure and behavior of state-space models. The text also introduces and interprets correlation functions and power spectral densities for describing and processing random signals. Application contexts include pulse amplitude modulation, observer-based feedback control, optimum linear filters for minimum mean-square-error estimation, and matched filtering for signal detection. Model-based approaches to inference are emphasized, in particular for state estimation, signal estimation, and signal detection. The text explores ideas, methods and tools common to numerous fields involving signals, systems and inference: signal processing, control, communication, time-series analysis, financial engineering, biomedicine, and many others. Signals, Systems and Inference is a long-awaited and flexible text that can be used for a rigorous course in a broad range of engineering and applied science curricula.

Signals, Systems & Inference

Author : Alan V. Oppenheim
Publisher :
ISBN 13 : 9780133943283
Total Pages : 0 pages
Book Rating : 4.9/5 (432 download)

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Book Synopsis Signals, Systems & Inference by : Alan V. Oppenheim

Download or read book Signals, Systems & Inference written by Alan V. Oppenheim and published by . This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text combines and extends basic material on the time- and frequency-domain analysis of signals and systems and on pro in ways that are relevant and even essential in many areas of and the applied sciences — signal processing, control, commune financial engineering, biomedicine, and many others. Properties and representations of deterministic signals and systems are elaborated on, including group delay and the structure and behavior of state-space models. The text also introduces and interprets correlation functions and power spectral densities for describing and processing random signals. Application contexts include pulse amplitude modulation, observer-based feedback control, optimum linear filters for minimum mean-square-error estimation, and matched filtering. Model-based approaches to inference are emphasized, in particular for state estimation, signal estimation, and signal detection.

Signals

Author : Brian Skyrms
Publisher : Oxford University Press
ISBN 13 : 0199580820
Total Pages : 208 pages
Book Rating : 4.1/5 (995 download)

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Book Synopsis Signals by : Brian Skyrms

Download or read book Signals written by Brian Skyrms and published by Oxford University Press. This book was released on 2010-04-08 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brian Skyrms offers a fascinating demonstration of how fundamental signals are to our world. He uses various scientific tools to investigate how meaning and communication develop. Signals operate in networks of senders and receivers at all levels of life, transmitting and processing information. That is how humans and animals think and interact.

Evidence-Based Technical Analysis

Author : David Aronson
Publisher : John Wiley & Sons
ISBN 13 : 1118160584
Total Pages : 572 pages
Book Rating : 4.1/5 (181 download)

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Book Synopsis Evidence-Based Technical Analysis by : David Aronson

Download or read book Evidence-Based Technical Analysis written by David Aronson and published by John Wiley & Sons. This book was released on 2011-07-11 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evidence-Based Technical Analysis examines how you can apply the scientific method, and recently developed statistical tests, to determine the true effectiveness of technical trading signals. Throughout the book, expert David Aronson provides you with comprehensive coverage of this new methodology, which is specifically designed for evaluating the performance of rules/signals that are discovered by data mining.

Señales y sistemas

Author : Alan V. Oppenheim
Publisher : Pearson Educación
ISBN 13 : 9789701701164
Total Pages : 994 pages
Book Rating : 4.7/5 (11 download)

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Book Synopsis Señales y sistemas by : Alan V. Oppenheim

Download or read book Señales y sistemas written by Alan V. Oppenheim and published by Pearson Educación. This book was released on 1998 with total page 994 pages. Available in PDF, EPUB and Kindle. Book excerpt: 1. Señales y sistemas 2. Sistemas lineales invariantes en el tiempo 3. Representación de señales periódicas en series de Fourier 4. La transformada contínua de Fourier 5. La transformada de Fourier de tiempo discreto 6. Caracterización en tiempo y frecuencia de señales y sistemas 7. Muestreo 8. Sistemas de comunicación 9. La transformada de Laplace 10. La transformada z 11. Sistemas lineales retroalimentados.

Genomic Signal Processing and Statistics

Author : Edward R. Dougherty
Publisher : Hindawi Publishing Corporation
ISBN 13 : 9775945070
Total Pages : 456 pages
Book Rating : 4.7/5 (759 download)

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Book Synopsis Genomic Signal Processing and Statistics by : Edward R. Dougherty

Download or read book Genomic Signal Processing and Statistics written by Edward R. Dougherty and published by Hindawi Publishing Corporation. This book was released on 2005 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in genomic studies have stimulated synergetic research and development in many cross-disciplinary areas. Processing the vast genomic data, especially the recent large-scale microarray gene expression data, to reveal the complex biological functionality, represents enormous challenges to signal processing and statistics. This perspective naturally leads to a new field, genomic signal processing (GSP), which studies the processing of genomic signals by integrating the theory of signal processing and statistics. Written by an international, interdisciplinary team of authors, this invaluable edited volume is accessible to students just entering this emergent field, and to researchers, both in academia and in industry, in the fields of molecular biology, engineering, statistics, and signal processing. The book provides tutorial-level overviews and addresses the specific needs of genomic signal processing students and researchers as a reference book. The book aims to address current genomic challenges by exploiting potential synergies between genomics, signal processing, and statistics, with special emphasis on signal processing and statistical tools for structural and functional understanding of genomic data. The first part of this book provides a brief history of genomic research and a background introduction from both biological and signal-processing/statistical perspectives, so that readers can easily follow the material presented in the rest of the book. In what follows, overviews of state-of-the-art techniques are provided. We start with a chapter on sequence analysis, and follow with chapters on feature selection, classification, and clustering of microarray data. We then discuss the modeling, analysis, and simulation of biological regulatory networks, especially gene regulatory networks based on Boolean and Bayesian approaches. Visualization and compression of gene data, and supercomputer implementation of genomic signal processing systems are also treated. Finally, we discuss systems biology and medical applications of genomic research as well as the future trends in genomic signal processing and statistics research.

Information Theory, Inference and Learning Algorithms

Author : David J. C. MacKay
Publisher : Cambridge University Press
ISBN 13 : 9780521642989
Total Pages : 694 pages
Book Rating : 4.6/5 (429 download)

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Book Synopsis Information Theory, Inference and Learning Algorithms by : David J. C. MacKay

Download or read book Information Theory, Inference and Learning Algorithms written by David J. C. MacKay and published by Cambridge University Press. This book was released on 2003-09-25 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.

Numerical Bayesian Methods Applied to Signal Processing

Author : Joseph J.K. O Ruanaidh
Publisher : Springer Science & Business Media
ISBN 13 : 1461207177
Total Pages : 256 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Numerical Bayesian Methods Applied to Signal Processing by : Joseph J.K. O Ruanaidh

Download or read book Numerical Bayesian Methods Applied to Signal Processing written by Joseph J.K. O Ruanaidh and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is concerned with the processing of signals that have been sam pled and digitized. The fundamental theory behind Digital Signal Process ing has been in existence for decades and has extensive applications to the fields of speech and data communications, biomedical engineering, acous tics, sonar, radar, seismology, oil exploration, instrumentation and audio signal processing to name but a few [87]. The term "Digital Signal Processing", in its broadest sense, could apply to any operation carried out on a finite set of measurements for whatever purpose. A book on signal processing would usually contain detailed de scriptions of the standard mathematical machinery often used to describe signals. It would also motivate an approach to real world problems based on concepts and results developed in linear systems theory, that make use of some rather interesting properties of the time and frequency domain representations of signals. While this book assumes some familiarity with traditional methods the emphasis is altogether quite different. The aim is to describe general methods for carrying out optimal signal processing.

Random Signal Analysis in Engineering Systems

Author : John Komo
Publisher : Elsevier
ISBN 13 : 0323156274
Total Pages : 317 pages
Book Rating : 4.3/5 (231 download)

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Book Synopsis Random Signal Analysis in Engineering Systems by : John Komo

Download or read book Random Signal Analysis in Engineering Systems written by John Komo and published by Elsevier. This book was released on 1987-01-01 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Random Signal Analysis in Engineering Systems

Signals and Systems

Author : Shaila Dinkar Apte
Publisher : Cambridge University Press
ISBN 13 : 1107146240
Total Pages : 787 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Signals and Systems by : Shaila Dinkar Apte

Download or read book Signals and Systems written by Shaila Dinkar Apte and published by Cambridge University Press. This book was released on 2016-05-09 with total page 787 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Provides rigorous treatment of deterministic and random signals"--

Multimedia Signal Processing

Author : Saeed V. Vaseghi
Publisher : John Wiley & Sons
ISBN 13 : 9780470066492
Total Pages : 680 pages
Book Rating : 4.0/5 (664 download)

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Book Synopsis Multimedia Signal Processing by : Saeed V. Vaseghi

Download or read book Multimedia Signal Processing written by Saeed V. Vaseghi and published by John Wiley & Sons. This book was released on 2007-10-22 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multimedia Signal Processing is a comprehensive and accessible text to the theory and applications of digital signal processing (DSP). The applications of DSP are pervasive and include multimedia systems, cellular communication, adaptive network management, radar, pattern recognition, medical signal processing, financial data forecasting, artificial intelligence, decision making, control systems and search engines. This book is organised in to three major parts making it a coherent and structured presentation of the theory and applications of digital signal processing. A range of important topics are covered in basic signal processing, model-based statistical signal processing and their applications. Part 1: Basic Digital Signal Processing gives an introduction to the topic, discussing sampling and quantization, Fourier analysis and synthesis, Z-transform, and digital filters. Part 2: Model-based Signal Processing covers probability and information models, Bayesian inference, Wiener filter, adaptive filters, linear prediction hidden Markov models and independent component analysis. Part 3: Applications of Signal Processing in Speech, Music and Telecommunications explains the topics of speech and music processing, echo cancellation, deconvolution and channel equalization, and mobile communication signal processing. Covers music signal processing, explains the anatomy and psychoacoustics of hearing and the design of MP3 music coder Examines speech processing technology including speech models, speech coding for mobile phones and speech recognition Covers single-input and multiple-inputs denoising methods, bandwidth extension and the recovery of lost speech packets in applications such as voice over IP (VoIP) Illustrated throughout, including numerous solved problems, Matlab experiments and demonstrations Companion website features Matlab and C++ programs with electronic copies of all figures. This book is ideal for researchers, postgraduates and senior undergraduates in the fields of digital signal processing, telecommunications and statistical data analysis. It will also be a valuable text to professional engineers in telecommunications and audio and signal processing industries.

Machine Learning for Signal Processing

Author : Max A. Little
Publisher : Oxford University Press, USA
ISBN 13 : 0198714939
Total Pages : 378 pages
Book Rating : 4.1/5 (987 download)

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Book Synopsis Machine Learning for Signal Processing by : Max A. Little

Download or read book Machine Learning for Signal Processing written by Max A. Little and published by Oxford University Press, USA. This book was released on 2019 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Builds up concepts gradually so that the ideas and algorithms can be implemented in practical software applications.

Statistical Inference Via Convex Optimization

Author : Anatoli Juditsky
Publisher : Princeton University Press
ISBN 13 : 0691197296
Total Pages : 655 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Statistical Inference Via Convex Optimization by : Anatoli Juditsky

Download or read book Statistical Inference Via Convex Optimization written by Anatoli Juditsky and published by Princeton University Press. This book was released on 2020-04-07 with total page 655 pages. Available in PDF, EPUB and Kindle. Book excerpt: This authoritative book draws on the latest research to explore the interplay of high-dimensional statistics with optimization. Through an accessible analysis of fundamental problems of hypothesis testing and signal recovery, Anatoli Juditsky and Arkadi Nemirovski show how convex optimization theory can be used to devise and analyze near-optimal statistical inferences. Statistical Inference via Convex Optimization is an essential resource for optimization specialists who are new to statistics and its applications, and for data scientists who want to improve their optimization methods. Juditsky and Nemirovski provide the first systematic treatment of the statistical techniques that have arisen from advances in the theory of optimization. They focus on four well-known statistical problems—sparse recovery, hypothesis testing, and recovery from indirect observations of both signals and functions of signals—demonstrating how they can be solved more efficiently as convex optimization problems. The emphasis throughout is on achieving the best possible statistical performance. The construction of inference routines and the quantification of their statistical performance are given by efficient computation rather than by analytical derivation typical of more conventional statistical approaches. In addition to being computation-friendly, the methods described in this book enable practitioners to handle numerous situations too difficult for closed analytical form analysis, such as composite hypothesis testing and signal recovery in inverse problems. Statistical Inference via Convex Optimization features exercises with solutions along with extensive appendixes, making it ideal for use as a graduate text.

Efficient Algorithms for Discrete Wavelet Transform

Author : K K Shukla
Publisher : Springer Science & Business Media
ISBN 13 : 1447149416
Total Pages : 97 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Efficient Algorithms for Discrete Wavelet Transform by : K K Shukla

Download or read book Efficient Algorithms for Discrete Wavelet Transform written by K K Shukla and published by Springer Science & Business Media. This book was released on 2013-01-26 with total page 97 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to its inherent time-scale locality characteristics, the discrete wavelet transform (DWT) has received considerable attention in signal/image processing. Wavelet transforms have excellent energy compaction characteristics and can provide perfect reconstruction. The shifting (translation) and scaling (dilation) are unique to wavelets. Orthogonality of wavelets with respect to dilations leads to multigrid representation. As the computation of DWT involves filtering, an efficient filtering process is essential in DWT hardware implementation. In the multistage DWT, coefficients are calculated recursively, and in addition to the wavelet decomposition stage, extra space is required to store the intermediate coefficients. Hence, the overall performance depends significantly on the precision of the intermediate DWT coefficients. This work presents new implementation techniques of DWT, that are efficient in terms of computation, storage, and with better signal-to-noise ratio in the reconstructed signal.

Communication Theory and Signal Processing for Transform Coding

Author : Khamies El-Shennawy
Publisher : Bentham Science Publishers
ISBN 13 : 1608058301
Total Pages : 308 pages
Book Rating : 4.6/5 (8 download)

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Book Synopsis Communication Theory and Signal Processing for Transform Coding by : Khamies El-Shennawy

Download or read book Communication Theory and Signal Processing for Transform Coding written by Khamies El-Shennawy and published by Bentham Science Publishers. This book was released on 2014-06-08 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is tailored to fulfil the requirements in the area of the signal processing in communication systems. The book contains numerous examples, solved problems and exercises to explain the methodology of Fourier Series, Fourier Analysis, Fourier Transform and properties, Fast Fourier Transform FFT, Discrete Fourier Transform DFT and properties, Discrete Cosine Transform DCT, Discrete Wavelet Transform DWT and Contourlet Transform CT. The book is characterized by three directions, the communication theory and signal processing point of view, the mathematical point of view and utility computer programs. The contents of this book include chapters in communication system and signals, Fourier Series and Power Spectra, Fourier Transform and Energy Spectra, Fourier Transform and Power Spectra, Correlation Function and Spectral Density, Signal Transmission and Systems, Hilbert Transform, Narrow Band-Pass Signals and Systems and Numerical Computation of Transform Coding. This book is intended for undergraduate students in institutes, colleges, universities and academies who want to specialize in the field of communication systems and signal processing. The book will also be very useful to engineers of graduate and post graduate studies as well as researchers in research centers since it contains a great number of mathematical operations that are considered important in research results.

Principles of Signal Detection and Parameter Estimation

Author : Bernard C. Levy
Publisher : Springer Science & Business Media
ISBN 13 : 0387765441
Total Pages : 647 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Principles of Signal Detection and Parameter Estimation by : Bernard C. Levy

Download or read book Principles of Signal Detection and Parameter Estimation written by Bernard C. Levy and published by Springer Science & Business Media. This book was released on 2008-12-16 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a comprehensive and current understanding of signal detection and estimation, including problems and solutions for each chapter. Signal detection plays an important role in fields such as radar, sonar, digital communications, image processing, and failure detection. The book explores both Gaussian detection and detection of Markov chains, presenting a unified treatment of coding and modulation topics. Addresses asymptotic of tests with the theory of large deviations, and robust detection. This text is appropriate for students of Electrical Engineering in graduate courses in Signal Detection and Estimation.