Download The Digital Signal Processing Handbook pdf.

The Digital Signal Processing Handbook.

Picture Of The Book:

Free Book The Digital Signal Processing Handbook pdf.
The Digital Signal Processing Handbook.

About The Book:

Including the basic background materials, technical details, standards and programs. The digital signal processing manual, the second version, reflects advanced information on speech processing, speech, audio, multimedia and video processing algorithms associated with standards ranging from WiMax to low-power / high-performance MP3 / DSP audio files and image processing Colorful video chips. The three-volume collection is based on the expertise of senior engineers, researchers and researchers and includes 29 new chapters on multimedia, Internet, tomography, radar systems, architecture, standards and future applications in speech, acoustics, video, radar, and communications.

Information About The Book:

Title: The Digital Signal Processing Handbook.
Language: English.
Size: 14.8 Mb.
Pages: 906.
Format: Pdf.
Year: 2009.
Edition: 2.
Author: Vijay K. Madisetti.

Contents Of The Book:

Chapter 1: Fourier Methods for Signal Analysis and Processing.
Chapter 2: Ordinary Linear Differential and Difference Equations.
Chapter 3: Finite Wordlength Effects.
Chapter 4: On Multidimensional Sampling.
Chapter 5: Analog-to-Digital Conversion Architectures.
Chapter 6: Quantization of Discrete Time Signals.
Chapter 7: Fast Fourier Transforms: A Tutorial Review and State of the Art.
Chapter 8: Fast Convolution and Filtering.
Chapter 9: Complexity Theory of Transforms in Signal Processing.
Chapter 10: Fast Matrix Computations.
Chapter 11: Digital Filtering.
Chapter 12: Overview of Statistical Signal Processing.
Chapter 13: Signal Detection and Classification.
Chapter 14: Spectrum Estimation and Modeling.
Chapter 15: Estimation Theory and Algorithms: From Gauss to Wiener to Kalman.
Chapter 16: Validation, Testing, and Noise Modeling.
Chapter 17: Cyclostationary Signal Analysis.
Chapter 18: Introduction to Adaptive Filters.
Chapter 19: Convergence Issues in the LMS Adaptive Filter.
Chapter 20: Robustness Issues in Adaptive Filtering.
Chapter 21: Recursive Least-Squares Adaptive Filters.
Chapter 22: Transform Domain Adaptive Filtering.
Chapter 23: Adaptive IIR Filters.
Chapter 24: Adaptive Filters for Blind Equalization.
Chapter 25: Signal Recovery from Partial Information.
Chapter 26: Algorithms for Computed Tomography.
Chapter 27: Robust Speech Processing as an Inverse Problem.
Chapter 28: Inverse Problems, Statistical Mechanics, and Simulated Annealing.
Chapter 29: Image Recovery Using the EM Algorithm.
Chapter 30: Inverse Problems in Array Processing.
Chapter 31: Channel Equalization as a Regularized Inverse Problem.
Chapter 32: Inverse Problems in Microphone Arrays.
Chapter 33: Synthetic Aperture Radar Algorithms.
Chapter 34: Iterative Image Restoration Algorithms.
Chapter 35: Wavelets and Filter Banks.
Chapter 36: Filter Bank Design.
Chapter 37: Time-Varying Analysis-Synthesis Filter Banks.
Chapter 38: Lapped Transforms.

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