This easily accessible text makes the learning of the discrete wavelet transform (DWT) easy to understand. Relatively new, DWT is fast becoming a widely used technique in signal and image processing applications, and is essential to know for all signal processing specialists. To facilitate learning for students and professionals with general engineering backgrounds, the author presents DWT using a unique signal processing approach instead of the usual mathematical approaches. The book also includes a large number of examples and figures that illustrate various concepts.

• Presents DWT from a digital signal processing point of view, in contrast to the usual mathematical approach, making it highly accessible
• Offers a comprehensive coverage of related topics, including convolution and correlation, Fourier transform, FIR filter, orthogonal and biorthogonal filters
• Organized systematically, starting from the fundamentals of signal processing to the more advanced topics of DWT and Discrete Wavelet Packet Transform
• Written in a clear and concise manner with abundant examples, figures and detailed explanations
• Features a companion website that has several MATLAB programs for the implementation of the DWT with commonly used filters

Discrete Wavelet Transform: A Signal Processing Approach with its clarity and concision, as well as numerous examples, is written with graduate and advanced signal processing students in mind. Industry researchers and professionals will also find it an accessible and comprehensive refresher guide.