Advances in Digital Signal Processing: Multirate Systems with MATLAB Applications
M.D. Lutovac · 2009
Multirate signal processing techniques are widely used in many areas of modern engineering such as communications, image processing, digital audio, and multimedia. The main advantage of a multirate system is the substantial decrease of computational complexity, and consequently, the lowered power consumption in real-time operations, smaller chip area followed by the cost reduction. The computational efficiency of multirate algorithms is based on the ability to use simultaneously different sampling rates in the different parts of the system. Moreover, the multirate-based algorithms are used to solve some of the complex signal processing tasks that could not be solved otherwise, such as sampling rate conversions, signal decomposition and reconstruction, multiplexing and demultiplexing, computations of DSP transforms (cosine transform and wavelet transform, for example). The objective of the seminar is threefold: • Present an overview of the multirate signal processing techniques. • Demonstrate the MATLAB applications in understanding multirate techniques, in solving practical design problems, and in developing efficient implementation structures. • Demonstrate the solution of an efficient communication system based on the multirate signal processing approach. Contents: