Wavelet compression of fingerprints and recognition using moment invariants
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
A particle swarm optimization approach to nonlinear rational filter modeling
Expert Systems with Applications: An International Journal
Sora: high performance software radio using general purpose multi-core processors
NSDI'09 Proceedings of the 6th USENIX symposium on Networked systems design and implementation
Design of robust D-stable IIR filters using genetic algorithms with embedded stability criterion
IEEE Transactions on Signal Processing
Coefficient estimation of IIR filter by a multiple crossover genetic algorithm
Computers & Mathematics with Applications
A canonic-signed-digit coded genetic algorithm for designing finite impulse response digital filter
Digital Signal Processing
Quadrature sampling for built-in analog/RF IC spectrum test
IEEE Transactions on Circuits and Systems II: Express Briefs
Data simulation of Matérn type
WSEAS Transactions on Computers
Sora: high-performance software radio using general-purpose multi-core processors
Communications of the ACM
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From the Publisher:Digital signal processing (DSP) can no longer be considered the domain of graduate students and researchers. It now pervades the technology that we take for granted in our homes and offices, and its influence is growing. Increasingly, DSP is being considered an essential technical skill. FUNDAMENTALS OFDIGITAL SIGNAL PROCESSING was written to create an accessible resource for college and university students, engineers, and computer scientists who want to gain a working knowledge of the principles, applications, and language of DSP. To make the ideas accessible, calculus is not used in the main text. Essential mathematical topics needed to understand the material are included in an appendix. All key concepts of DSP are covered in this text, including details of how to perform transforms and design filters. The coverage is heavily supported by examples throughout the text, which focus on real-life sounds such as speech, whale songs, and seismic vibrations and on real-life images such as fingerprints, bacteria, and airport X-rays. The CD packaged with the book includes sample sounds, images, data, and movies for most chapters, as well as software for spectrograms and wavelets. The sun symbol in the margins of the text indicates illuminating material is available on the CD. Matlab files and examples of how to use them are also included so the reader can verify methods presented in the text and solve end-of-chapter problems with ease. Quick tests of basic chapter concepts are provided as well. Instructors using this book will benefit from the accompanying Instructor's Manual with CD-ROM (ISBN: 0-13-033263-1).