Signal analysis gives an insight into the properties of signals and stochastic processes by methodology. Linear transforms are integral to the continuing growth of signal processes as they characterize and classify signals. In particular, those transforms that provide time-frequency signal analysis are attracting greater numbers of researchers and are becoming an area of considerable importance. The key characteristic of these transforms, along with a certain time-frequency localization called the wavelet transform and various types of multirate filter banks, is their high computational efficiency. It is this computational efficiently which accounts for their increased application. This book provides a complete overview and introduction to signal analysis. It presents classical and modern signal analysis methods in a sequential structure starting with the background to signal theory. Progressing through the book the author introduces more advanced topics in an easy to understand style. Including recent and emerging topics such as filter banks with perfect reconstruction, time frequency and wavelets. With great accuracy and technical merit, this book makes a useful and original contribution to the current literature.
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"...excellent and interesting reading for digital signal processing engineers and designers and for postgraduate students in electrical and computer faculties." (Mathematical Reviews, 2002d)
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Text: English (translation)
Original Language: German
Original Language: German
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Inside This Book
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First Sentence:
The goal of this chapter is to give a brief overview of methods for characterizing signals and for describing their properties. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
subsampled case, paraunitary case, paraunitary filter banks, polyphase realization, subband signals, polyphase components, prediction error filter, modulated filter banks, polyphase matrix, lapped orthogonal transform, subband samples, wigner distribution, analysis filter bank, synthesis filter bank, multirate filter banks, autocorrelation sequence, energy density spectrum, bandpass signal, ambiguity function, complex envelope, symmetric reflection, circular convolution, perfect reconstruction, interpolation filter, analytic signal Key Phrases - Capitalized Phrases (CAPs): (learn more)
Wavelet Series, Time Inversion New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
The goal of this chapter is to give a brief overview of methods for characterizing signals and for describing their properties. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
subsampled case, paraunitary case, paraunitary filter banks, polyphase realization, subband signals, polyphase components, prediction error filter, modulated filter banks, polyphase matrix, lapped orthogonal transform, subband samples, wigner distribution, analysis filter bank, synthesis filter bank, multirate filter banks, autocorrelation sequence, energy density spectrum, bandpass signal, ambiguity function, complex envelope, symmetric reflection, circular convolution, perfect reconstruction, interpolation filter, analytic signal Key Phrases - Capitalized Phrases (CAPs): (learn more)
Wavelet Series, Time Inversion New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 23
books:
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2
books
cite this book:
- Digital Signal Processing. (IEEE Press Selected Reprint Series) by Lawrence R. Rabiner in Back Matter (1), Back Matter (2), and Back Matter (3)
- The Hartley Transform (Oxford Engineering Science Series) by Ronald N. Bracewell on page 97, and Back Matter
- Digital Processing of Speech Signals by Lawrence R. Rabiner in Back Matter
- Multirate Digital Signal Processing by Crochiere in Back Matter
- A Wavelet Tour of Signal Processing, Second Edition (Wavelet Analysis & Its Applications) by Stephane Mallat in Back Matter
See all 23 books this book cites
- Discrete Cosine and Sine Transforms: General Properties, Fast Algorithms and Integer Approximations by Vladimir Britanak on page 6
- Pattern Recognition and Image Analysis: Second Iberian Conference, IbPRIA 2005, Estoril, Portugal, June 7-9, 2005, Proceedings, Part 1 (Lecture Notes ... Vision, Pattern Recognition, and Graphics) by Jorge S. Marques on page 622
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