Introduction to orthogonal transforms_With applications in data processing and analysis
Book information
Description
A systematic, unified treatment of orthogonal transform methods for signal processing, data analysis and communications, this book guides the reader from mathematical theory to problem solving in practice. It examines each transform method in depth, emphasizing the common mathematical principles and essential properties of each method in terms of signal decorrelation and energy compaction. The different forms of Fourier transform, as well as the Laplace, Z-, Walsh-Hadamard, Slant, Haar, Karhunen-Loeve and wavelet transforms, are all covered, with discussion of how each transform method can be applied to real-world experimental problems. Numerous practical examples and end-of-chapter problems, supported by online Matlab and C code and an instructor-only solutions manual, make this an ideal resource for students and practitioners alike.
Similar books
A Course in Digital Signal Processing. Solutions Manual
Математические основы обработки сигналов. Практикум
Повышение эффективности метода перекрытия с накоплением для вычисления дискретной свертки
DOC
An A-Z of Digital Signal Processing
Adaptive Digital Processing of Multidimensional Signals with Applications
Справочник по устройствам цифровой обработки информации
DJVU
Проектирование цифровых измерительных устройств