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.
シ托シ三verview of Signal Processing
シ抵シ札igital Filter Design
シ難シ薩inite Wordlength Effects
シ費シ皿ultirate Systems (Sampling Rate Alteration)
シ包シ傘olyphase Representation
シ厄シ薩ilter Banks
シ暦シ皿-channel Filter Banks
シ假シ拶daptive Filters
シ呻シ雑radient Adaptive Algorithm
10シ山ecursive Adaptive Algorithm
11シ札SP Systems
12シ傘ipeline and Parallel Processing
13シ鯖mplementation 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.