Prerequisite: Basic knowledge on signal processing, such as z-transform, Frourier analysis, sampling theorem.
Realization of FIR and IIR systems and parasitic effects, robust digital filters, multirate signal processing (sampling rate alteration), filter banks, wavelets, adaptive filters, digital signal processors, etc.
Several important topics on the design and implementation of signal processing algorithms and their theoretical background will be discussed.
1.Overview of Signal Processing
2.Digital Filter Design
3.Finite Wordlength Effects
4.Multirate Systems (Sampling Rate Alteration)
5.Polyphase Representation
6.Filter Banks
7.M-channel Filter Banks
8.Adaptive Filters
9.Gradient Adaptive Algorithm
10.Recursive Adaptive Algorithm
11.DSP Systems
12.Pipeline and Parallel Processing
13.Implementation of DSP Systems
Materials will be prepared by the lecturer and can be downloaded.
Basic signal processing course is prerequisite. Students are supposed to know z-transform, Fourier analysis, sampling theorem, etc.
Marks are based on examination.
Although this course is taught in English, questions in Japanese are welcome.