PDF Download: signal processing and systems theory eBook

Signal Processing And Systems Theory

Signal Processing and Systems Theory PDF
Author: Charles K. Chui
Publisher: Springer Science & Business Media
Release: 2012-12-06
Size: 62.68 MB
Format: PDF, ePub, Docs
Category : Technology & Engineering
Languages : en
Pages : 267
View: 5339

Get Book


"Signal Processing and Systems Theory" is concerned with the study of H-optimization for digital signal processing and discrete-time control systems. The first three chapters present the basic theory and standard methods in digital filtering and systems from the frequency-domain approach, followed by a discussion of the general theory of approximation in Hardy spaces. AAK theory is introduced, first for finite-rank operators and then more generally, before being extended to the multi-input/multi-output setting. This mathematically rigorous book is self-contained and suitable for self-study. The advanced mathematical results derived here are applicable to digital control systems and digital filtering.

Digital Signal Processing For Measurement Systems

Digital Signal Processing for Measurement Systems PDF
Author: Gabriele D'Antona
Publisher: Springer Science & Business Media
Release: 2006-10-28
Size: 52.25 MB
Format: PDF, ePub, Mobi
Category : Technology & Engineering
Languages : en
Pages : 268
View: 275

Get Book


This excellent Senior undergraduate/graduate textbook offers an unprecedented measurement of science perspective on DSP theory and applications, a wealth of definitions and real-life examples making it invaluable for students, while practical.

Signal Processing Systems

Signal Processing Systems PDF
Author: N. Kalouptsidis
Publisher: Wiley-Interscience
Release: 1997-04-18
Size: 41.37 MB
Format: PDF, ePub, Mobi
Category : Technology & Engineering
Languages : en
Pages : 840
View: 3902

Get Book


A highly practical, detailed, and comprehensive resource containing all the tools and methods required to design signal processing systems This meticulously prepared reference will bring you up to speed on signal processing systems, a multidisciplinary technology with widespread applications in telecommunications, robotics, controls, pattern recognition, and image processing. Thorough, clear, and highly practical, this book emphasizes tool development as well as signal processing design and shows readers how to perform a variety of tasks. These include signal compression and coding, modulation, encryption, filtering for signal enhancement and noise removal, pattern classification, error control coding, prediction to estimate future behavior, feedback control, and identification to locate a plant or signal source operating in an uncertain environment. No other book offers this wide range of tools and techniques essential to the design of signal processing systems. Extensively illustrated and supplemented with extensive appendixes, it provides Complete coverage of all major signal and systems representations Detailed descriptions of the phases involved in the design of a signal processing system Applications, algorithms, and simulations designed to be run using MATLAB Examples of various types of signals and systems, including analog, discrete, digital, multidimensional, and stochastic. A balanced account of both theoretical and implementation issues

Digital Signal Processing

Digital Signal Processing PDF
Author: K. Deergha Rao
Publisher: Springer
Release: 2018-04-14
Size: 76.61 MB
Format: PDF, ePub
Category : Mathematics
Languages : en
Pages : 789
View: 3092

Get Book


The book provides a comprehensive exposition of all major topics in digital signal processing (DSP). With numerous illustrative examples for easy understanding of the topics, it also includes MATLAB-based examples with codes in order to encourage the readers to become more confident of the fundamentals and to gain insights into DSP. Further, it presents real-world signal processing design problems using MATLAB and programmable DSP processors. In addition to problems that require analytical solutions, it discusses problems that require solutions using MATLAB at the end of each chapter. Divided into 13 chapters, it addresses many emerging topics, which are not typically found in advanced texts on DSP. It includes a chapter on adaptive digital filters used in the signal processing problems for faster acceptable results in the presence of changing environments and changing system requirements. Moreover, it offers an overview of wavelets, enabling readers to easily understand the basics and applications of this powerful mathematical tool for signal and image processing. The final chapter explores DSP processors, which is an area of growing interest for researchers. A valuable resource for undergraduate and graduate students, it can also be used for self-study by researchers, practicing engineers and scientists in electronics, communications, and computer engineering as well as for teaching one- to two-semester courses.

Advances In Signal Processing

Advances in Signal Processing PDF
Author: Margarita Favorskaya
Publisher: Springer Nature
Release: 2020-03-19
Size: 30.70 MB
Format: PDF, Docs
Category : Technology & Engineering
Languages : en
Pages : 150
View: 5350

Get Book


This book attempts to improve algorithms by novel theories and complex data analysis in different scopes including object detection, remote sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. The book is directed to the Ph.D. students, professors, researchers, and software developers working in the areas of digital video processing and computer vision technologies.

Advanced Digital Signal Processing And Noise Reduction

Advanced Digital Signal Processing and Noise Reduction PDF
Author: Saeed V. Vaseghi
Publisher: John Wiley & Sons
Release: 2008-12-23
Size: 42.11 MB
Format: PDF, Mobi
Category : Science
Languages : en
Pages : 544
View: 1925

Get Book


Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory and application of signal processing is concerned with the identification, modelling and utilisation of patterns and structures in a signal process. The observation signals are often distorted, incomplete and noisy and therefore noise reduction, the removal of channel distortion, and replacement of lost samples are important parts of a signal processing system. The fourth edition of Advanced Digital Signal Processing and Noise Reduction updates and extends the chapters in the previous edition and includes two new chapters on MIMO systems, Correlation and Eigen analysis and independent component analysis. The wide range of topics covered in this book include Wiener filters, echo cancellation, channel equalisation, spectral estimation, detection and removal of impulsive and transient noise, interpolation of missing data segments, speech enhancement and noise/interference in mobile communication environments. This book provides a coherent and structured presentation of the theory and applications of statistical signal processing and noise reduction methods. Two new chapters on MIMO systems, correlation and Eigen analysis and independent component analysis Comprehensive coverage of advanced digital signal processing and noise reduction methods for communication and information processing systems Examples and applications in signal and information extraction from noisy data Comprehensive but accessible coverage of signal processing theory including probability models, Bayesian inference, hidden Markov models, adaptive filters and Linear prediction models Advanced Digital Signal Processing and Noise Reduction is an invaluable text for postgraduates, senior undergraduates and researchers in the fields of digital signal processing, telecommunications and statistical data analysis. It will also be of interest to professional engineers in telecommunications and audio and signal processing industries and network planners and implementers in mobile and wireless communication communities.

Signal Processing And Linear Systems

Signal Processing and Linear Systems PDF
Author: B. P. Lathi
Publisher: Oxford University Press, USA
Release: 2021-02
Size: 45.33 MB
Format: PDF, ePub, Docs
Category :
Languages : en
Pages :
View: 4126

Get Book


"This text presents a comprehensive treatment of signal processing and linear systems suitable for undergraduate students in electrical engineering, It is based on Lathi's widely used book, Linear Systems and Signals, with additional applications to communications, controls, and filtering as well as new chapters on analog and digital filters and digital signal processing.This volume's organization is different from the earlier book. Here, the Laplace transform follows Fourier, rather than the reverse; continuous-time and discrete-time systems are treated sequentially, rather than interwoven. Additionally, the text contains enough material in discrete-time systems to be used not only for a traditional course in signals and systems but also for an introductory course in digital signal processing. In Signal Processing and Linear Systems Lathi emphasizes the physical appreciation of concepts rather than the mere mathematical manipulation of symbols. Avoiding the tendency to treat engineering as a branch of applied mathematics, he uses mathematics not so much to prove an axiomatic theory as to enhance physical and intuitive understanding of concepts. Wherever possible, theoretical results are supported by carefully chosen examples and analogies, allowing students to intuitively discover meaning for themselves"--

Multimodal Signal Processing

Multimodal Signal Processing PDF
Author: Jean-Philippe Thiran
Publisher: Academic Press
Release: 2009-11-11
Size: 16.84 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 352
View: 469

Get Book


Multimodal signal processing is an important research and development field that processes signals and combines information from a variety of modalities – speech, vision, language, text – which significantly enhance the understanding, modelling, and performance of human-computer interaction devices or systems enhancing human-human communication. The overarching theme of this book is the application of signal processing and statistical machine learning techniques to problems arising in this multi-disciplinary field. It describes the capabilities and limitations of current technologies, and discusses the technical challenges that must be overcome to develop efficient and user-friendly multimodal interactive systems. With contributions from the leading experts in the field, the present book should serve as a reference in multimodal signal processing for signal processing researchers, graduate students, R&D engineers, and computer engineers who are interested in this emerging field. Presents state-of-art methods for multimodal signal processing, analysis, and modeling Contains numerous examples of systems with different modalities combined Describes advanced applications in multimodal Human-Computer Interaction (HCI) as well as in computer-based analysis and modelling of multimodal human-human communication scenes.

Perspectives In Mathematical System Theory Control And Signal Processing

Perspectives in Mathematical System Theory  Control  and Signal Processing PDF
Author: Jan C. Willems
Publisher: Springer
Release: 2010-03-10
Size: 72.72 MB
Format: PDF, Kindle
Category : Science
Languages : en
Pages : 370
View: 6274

Get Book


This Festschrift, published on the occasion of the sixtieth birthday of Yutaka - mamoto (‘YY’ as he is occasionally casually referred to), contains a collection of articles by friends, colleagues, and former Ph.D. students of YY. They are a tribute to his friendship and his scienti?c vision and oeuvre, which has been a source of inspiration to the authors. Yutaka Yamamoto was born in Kyoto, Japan, on March 29, 1950. He studied applied mathematics and general engineering science at the Department of Applied Mathematics and Physics of Kyoto University, obtaining the B.S. and M.Sc. degrees in 1972 and 1974. His M.Sc. work was done under the supervision of Professor Yoshikazu Sawaragi. In 1974, he went to the Center for Mathematical System T- ory of the University of Florida in Gainesville. He obtained the M.Sc. and Ph.D. degrees, both in Mathematics, in 1976 and 1978, under the direction of Professor Rudolf Kalman.

Foundations Of Digital Signal Processing

Foundations of Digital Signal Processing PDF
Author: Patrick Gaydecki
Publisher: IET
Release: 2004
Size: 68.56 MB
Format: PDF, Mobi
Category : Technology & Engineering
Languages : en
Pages : 462
View: 1344

Get Book


An excellent introductory text, this book covers the basic theoretical, algorithmic and real-time aspects of digital signal processing (DSP). Detailed information is provided on off-line, real-time and DSP programming and the reader is effortlessly guided through advanced topics such as DSP hardware design, FIR and IIR filter design and difference equation manipulation.