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9788184870817- 5face1f5b80dc4982250c2b0 Introduction to Wavelet Transform:A Signal Processing Approach 624pp/PB https://www.trendypaper.com/s/5b1a00c581a9afd8ff765190/662fa0715938b3b6f35234e6/h1dx9xp.jpg INTRODUCTION TO WAVELET TRANSFORM: A Signal Processing Approach, has been developed in a simple, logical and directed way. To understand this subject, the background required is physics and mathematics at a junior degree level and knowledge of basics of signals and systems. The ease of understanding has been facilitated by providing all the intermediate steps in a mathematical derivation and physical meaning of the mathematical relations, preserving the rigor and depth of the subject. Table Of Contents: Preface / Acknowledgments / Introduction / Signal Approximation / Signal Transmission and Power Spectral Density / Sampling Theorem and Development of DFT / Multirate Sampling Fundamentals / Perfect Reconstruction Filter Bank / Short time Fourier Transform (STFT) / Wavelet Transform / Discrete Wavelet Transform / Multiresolution Formulation of Wavelet Systems / Wavelet Design / Wavelet Transform Implementation / M-channel Filter Bank / Wavelet Transform Implementation by Lifting / Time-frequency Distribution / Wavelet Transform Applications / Appendix. Audience Undergraduate and Postgraduate Students, Professionals and Researchers Special Features: ?Develops the Wavelet transform (WT) concepts in a simple, logical and directed way bringing out physical concepts with new insights and explanations.?Provides essential fundamentals of signal processing, Multirate sampling and the perfect reconstruction filter bank in 6 chapters.?Introduces WT as an extension of Short time Fourier transform by interpreting it as a filter bank.?Covers in detail: Continuous WT, Discrete WT, Multiresolution formulation of WT and wavelet design.?As a special feature, the chapter on implementation of WT covers the signal reconstruction from the WT in complete depth. The implementation also covers harmonic WT and lifting approach (in a separate chapter)?The chapter on M 9788184870817-
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Introduction to Wavelet Transform:A Signal Processing Approach 624pp/PB

Introduction to Wavelet Transform:A Signal Processing Approach 624pp/PB

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Author: S. V. Narasimhan

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ISBN: 9788184870817-
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INTRODUCTION TO WAVELET TRANSFORM: A Signal Processing Approach, has been developed in a simple, logical and directed way. To understand this subject, the background required is physics and mathematics at a junior degree level and knowledge of basics of signals and systems. The ease of understanding has been facilitated by providing all the intermediate steps in a mathematical derivation and physical meaning of the mathematical relations, preserving the rigor and depth of the subject. Table Of Contents: Preface / Acknowledgments / Introduction / Signal Approximation / Signal Transmission and Power Spectral Density / Sampling Theorem and Development of DFT / Multirate Sampling Fundamentals / Perfect Reconstruction Filter Bank / Short time Fourier Transform (STFT) / Wavelet Transform / Discrete Wavelet Transform / Multiresolution Formulation of Wavelet Systems / Wavelet Design / Wavelet Transform Implementation / M-channel Filter Bank / Wavelet Transform Implementation by Lifting / Time-frequency Distribution / Wavelet Transform Applications / Appendix. Audience Undergraduate and Postgraduate Students, Professionals and Researchers Special Features: ?Develops the Wavelet transform (WT) concepts in a simple, logical and directed way bringing out physical concepts with new insights and explanations.?Provides essential fundamentals of signal processing, Multirate sampling and the perfect reconstruction filter bank in 6 chapters.?Introduces WT as an extension of Short time Fourier transform by interpreting it as a filter bank.?Covers in detail: Continuous WT, Discrete WT, Multiresolution formulation of WT and wavelet design.?As a special feature, the chapter on implementation of WT covers the signal reconstruction from the WT in complete depth. The implementation also covers harmonic WT and lifting approach (in a separate chapter)?The chapter on M

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