Mathematics in Signal Processing Four PDF Download
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Author: J. G. McWhirter
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 408
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Book Description
This volume provides an overview of the wide range of mathematical topics in signal processing. The focus is on alternative algebras for signal processing, particularly multilinear and geometric algebra and Gröbner bases. Other topics include array processing and digital communications, wavelets, nonlinear signal processing, Padé approximation, convex optimization, and generalized eigenvalue decomposition. Blending theory and practice, the volume will appeal to a wide range of engineers and mathematicians.
Author: J. G. McWhirter
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 408
Get Book Here
Book Description
This volume provides an overview of the wide range of mathematical topics in signal processing. The focus is on alternative algebras for signal processing, particularly multilinear and geometric algebra and Gröbner bases. Other topics include array processing and digital communications, wavelets, nonlinear signal processing, Padé approximation, convex optimization, and generalized eigenvalue decomposition. Blending theory and practice, the volume will appeal to a wide range of engineers and mathematicians.
Author: Pierre Bremaud
Publisher: Springer Science & Business Media
ISBN: 147573669X
Category : Mathematics
Languages : en
Pages : 263
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Book Description
From the reviews: "[...] the interested reader will find in Bremaud’s book an invaluable reference because of its coverage, scope and style, as well as of the unified treatment it offers of (signal processing oriented) Fourier and wavelet basics." Mathematical Reviews
Author: Charles L. Byrne
Publisher: CRC Press
ISBN: 1482241846
Category : Computers
Languages : en
Pages : 441
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Book Description
Signal Processing: A Mathematical Approach is designed to show how many of the mathematical tools the reader knows can be used to understand and employ signal processing techniques in an applied environment. Assuming an advanced undergraduate- or graduate-level understanding of mathematics—including familiarity with Fourier series, matrices, probability, and statistics—this Second Edition: Contains new chapters on convolution and the vector DFT, plane-wave propagation, and the BLUE and Kalman filters Expands the material on Fourier analysis to three new chapters to provide additional background information Presents real-world examples of applications that demonstrate how mathematics is used in remote sensing Featuring problems for use in the classroom or practice, Signal Processing: A Mathematical Approach, Second Edition covers topics such as Fourier series and transforms in one and several variables; applications to acoustic and electro-magnetic propagation models, transmission and emission tomography, and image reconstruction; sampling and the limited data problem; matrix methods, singular value decomposition, and data compression; optimization techniques in signal and image reconstruction from projections; autocorrelations and power spectra; high-resolution methods; detection and optimal filtering; and eigenvector-based methods for array processing and statistical filtering, time-frequency analysis, and wavelets.
Author: J. G. McWhirter
Publisher:
ISBN:
Category : Signal processing
Languages : en
Pages : 382
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Book Description
Author: Todd K. Moon
Publisher:
ISBN: 9788129709769
Category : Algorithms
Languages : en
Pages : 937
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Book Description
Author: Charles L. Byrne
Publisher: CRC Press
ISBN: 1482241854
Category : Computers
Languages : en
Pages : 436
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Book Description
Signal Processing: A Mathematical Approach is designed to show how many of the mathematical tools the reader knows can be used to understand and employ signal processing techniques in an applied environment. Assuming an advanced undergraduate- or graduate-level understanding of mathematics-including familiarity with Fourier series, matrices, probab
Author: Martin Vetterli
Publisher: Cambridge University Press
ISBN: 1139916572
Category : Technology & Engineering
Languages : en
Pages : 745
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Book Description
This comprehensive and engaging textbook introduces the basic principles and techniques of signal processing, from the fundamental ideas of signals and systems theory to real-world applications. Students are introduced to the powerful foundations of modern signal processing, including the basic geometry of Hilbert space, the mathematics of Fourier transforms, and essentials of sampling, interpolation, approximation and compression The authors discuss real-world issues and hurdles to using these tools, and ways of adapting them to overcome problems of finiteness and localization, the limitations of uncertainty, and computational costs. It includes over 160 homework problems and over 220 worked examples, specifically designed to test and expand students' understanding of the fundamentals of signal processing, and is accompanied by extensive online materials designed to aid learning, including Mathematica® resources and interactive demonstrations.
Author: J. G. McWhirter
Publisher: Oxford University Press
ISBN: 9780198507345
Category : Computers
Languages : en
Pages : 380
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Book Description
A selection of papers presented at the four-yearly IMA conference on Mathematics in Signal Processing. Covering a wide range of recent topics, including excellent review papers and original research.
Author: Julius O. Smith
Publisher: Julius Smith
ISBN: 097456074X
Category : Fourier transformations
Languages : en
Pages : 323
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Book Description
"The DFT can be understood as a numerical approximation to the Fourier transform. However, the DFT has its own exact Fourier theory, and that is the focus of this book. The DFT is normally encountered as the Fast Fourier Transform (FFT)--a high-speed algorithm for computing the DFT. The FFT is used extensively in a wide range of digital signal processing applications, including spectrum analysis, high-speed convolution (linear filtering), filter banks, signal detection and estimation, system identification, audio compression (such as MPEG-II AAC), spectral modeling sound synthesis, and many others. In this book, certain topics in digital audio signal processing are introduced as example applications of the DFT"--Back cover
Author: Michael Robinson
Publisher: Springer Science & Business Media
ISBN: 3642361048
Category : Technology & Engineering
Languages : en
Pages : 245
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Book Description
Signal processing is the discipline of extracting information from collections of measurements. To be effective, the measurements must be organized and then filtered, detected, or transformed to expose the desired information. Distortions caused by uncertainty, noise, and clutter degrade the performance of practical signal processing systems. In aggressively uncertain situations, the full truth about an underlying signal cannot be known. This book develops the theory and practice of signal processing systems for these situations that extract useful, qualitative information using the mathematics of topology -- the study of spaces under continuous transformations. Since the collection of continuous transformations is large and varied, tools which are topologically-motivated are automatically insensitive to substantial distortion. The target audience comprises practitioners as well as researchers, but the book may also be beneficial for graduate students.
