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Author: Sankar Basu
Publisher: Springer Science & Business Media
ISBN: 9780792397571
Category : Technology & Engineering
Languages : en
Pages : 164
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Book Description
Multidimensional Filter Banks and Wavelets: Basic Theory and Cosine Modulated Filter Banks brings together in one place important contributions and up-to-date reserach results in this important area. Multidimensional Filter Banks and Wavelets: Basic Theory and Cosine Modulated Filter Banks serves as an excellent reference, providing insight into some of the most important research issues in the field.
Author: Sankar Basu
Publisher: Springer Science & Business Media
ISBN: 9780792397571
Category : Technology & Engineering
Languages : en
Pages : 164
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Book Description
Multidimensional Filter Banks and Wavelets: Basic Theory and Cosine Modulated Filter Banks brings together in one place important contributions and up-to-date reserach results in this important area. Multidimensional Filter Banks and Wavelets: Basic Theory and Cosine Modulated Filter Banks serves as an excellent reference, providing insight into some of the most important research issues in the field.
Author: Sankar Basu
Publisher: Springer Science & Business Media
ISBN: 1475759223
Category : Science
Languages : en
Pages : 235
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Book Description
Multidimensional Filter Banks and Wavelets: Reserach Developments and Applications brings together in one place important contributions and up-to-date research results in this important area. Multidimensional Filter Banks and Wavelets: Research Developments and Applications serves as an excellent reference, providing insight into some of the most important research issues in the field.
Author: Sankar Basu
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Hanmook Choi
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Tsuhan Chen
Publisher:
ISBN:
Category : Electronic dissertations
Languages : en
Pages : 240
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Book Description
Author: Bruce W. Suter
Publisher: Elsevier
ISBN: 0080512283
Category : Technology & Engineering
Languages : en
Pages : 217
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Book Description
This innovative and in-depth book integrates the well-developed theory and practical applications of one dimensional and multidimensional multirate signal processing. Using a rigorous mathematical framework, it carefully examines the fundamentals of this rapidly growing field. Areas covered include: basic building blocks of multirate signal processing; fundamentals of multidimensional multirate signal processing; multirate filter banks; lossless lattice structures; introduction to wavelet signal processing. Multirate and Wavelet Signal Processing forms the basis for a graduate course in multirate signal processing. It includes an introduction to wavelet signal processing and emphasizes topics of ever-increasing importance for a wide range of applications. Concise and easy-to-read, this book is also a useful primer for professional engineers. Integrates the well-developed theory and practical applications of one-dimensional and multidimensional multirate signal processing Emphasizes topics of ever-increasing importance for a wide range of applications Written in a concise, easy-to-read style Uses relevant examples General mathematical formulation permits extensions of concepts to diverse applications, such as speech, imaging, video, and synthetic aperture radar Emphasizes key topics of the field, allowing the reader to make the most efficient use of time in learning the fundamentals of multirate Designed to be completely covered in a single semester or quarter
Author: P. P. Vaidyanathan
Publisher: Pearson
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 936
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Book Description
Provides a treatment of the fundamentals as well as advancements in the field of multirate signal processing. This text describes both theoretical developments and design tools. It will be useful for graduate courses in multitrate signal processing.
Author: Fouad Sabry
Publisher: One Billion Knowledgeable
ISBN:
Category : Computers
Languages : en
Pages : 149
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Book Description
What is Filter Bank A filter bank is an array of bandpass filters that is used in signal processing. Its purpose is to divide the input signal into several components, each of which carries a sub-band of the original signal. Attenuating the components in a new way and recombining them into a modified version of the original signal is one of the applications of a filter bank. A graphic equalizer is one example of this type of application. The result of analysis is referred to as a subband signal, and it contains as many subbands as there are filters in the filter bank. The process of decomposition that is carried out by the filter bank is referred to as analysis. Synthesis is the term used to describe the process of reconstruction, which refers to the act of reconstructing a complete signal that was produced by the filtering process. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Filter Bank Chapter 2: Discrete Fourier Transform Chapter 3: Digital Filter Chapter 4: Wavelet Chapter 5: Modified Discrete Cosine Transform Chapter 6: Finite Impulse Response Chapter 7: Daubechies Wavelet Chapter 8: Discrete Wavelet Transform Chapter 9: Discrete-Time Fourier Transform Chapter 10: Downsampling (Signal Processing) (II) Answering the public top questions about filter bank. (III) Real world examples for the usage of filter bank in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Filter Bank.
Author: Minh N. Do
Publisher: Foundations and Trends(r) in S
ISBN: 9781601985842
Category : Computers
Languages : en
Pages : 124
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Book Description
Starting from basic concepts such as multidimensional filtering and nonseparable sampling, Multidimensional Filter Banks and Multiscale Geometric Representations presents a systematic overview of the common notation, key tools, and main results in the characterization and design of multidimensional filter banks.
Author: Sirak Belayneh (George Mason University graduate)
Publisher:
ISBN:
Category : Electric filters
Languages : en
Pages : 160
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Book Description
This dissertation investigates the construction of nonseparable multidimensional wavelets using multidimensional filterbanks. The main contribution of the dissertation is the derivation of the relations zeros of higher and lower dimensional filterbanks for cascade structures. This relation is exploited to construct higher dimensional regular filters from known lower dimensional regular filters. Latter these filters are used to construct multidimensional nonseparable wavelets that are applied in the reconstruction and denoising of multidimensional images. The relation of discrete wavelets and multirate filterbanks was first demonstrated by Meyer and Mallat. Latter, Daubechies used this relation to construct continuous wavelets using the iteration of filterbanks. Daubechies also set the necessary conditions on these filer banks for the construction of continuous wavelets. These conditions also known as the regularity condition are critical for the construction of continuous wavelet basis form iterated filterbanks. In the single dimensional case these regularity conditions are defined in terms of the order of zeros of the filterbanks . The iteration of filterbanks with higher order zeros results in fast convergence to continuous wavelet basis. This regularity condition for the single dimensional case has been extended by Kovachevic to include the multidimensional case. However, the solutions to the regularity condition are often complicated as the orders and dimensions increase. In this dissertation the relations of zeros of lower and higher dimensional filters based on the definition of regularity conditions for cascade structures has been investigated. The identity of some of the zeros of the higher and lower dimensional filterbanks has been established using concepts in linear spaces and polynomial matrix description. This relation is critical in reducing the computational complexity of constructing higher order regular multidimensional filterbanks. Based on this relation a procedure has been adopted where one can start with known single dimensional regular filterbanks and construct the same order multidimensional nonseparable regular filterbanks . These filterbanks are then iterated as in the one dimensional case to give continuous multidimensional nonseparable wavelets. The conditions for dilation matrices with better isotropic transformation has also been revisited. Several examples are used to illustrate the construction of these multidimensional nonseparable wavelets. Finally, these nonseparable multidimensional wavelet basis are used in the reconstruction and denoising of multidimensional images and the results are compared to those obtained by separable wavelets.
