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Advanced Signal Processing
(
nishihara akinori
)
Mon 7-8Session W9-213
Credits Lecture:2 Practice:0 Experiment:0 / code:56007
Update : 2012/7/15
Spring Semester
- Outline of lecture
- 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.
- Purpose of lecture
- Several important topics on the design and implementation of signal processing algorithms and their theoretical background will be discussed.
- Plan of lecture
- 01.Overview of Signal Processing
02.Digital Filter Design
03.Finite Wordlength Effects
04.Multirate Systems (Sampling Rate Alteration)
05.Polyphase Representation
06.Filter Banks
07.M-channel Filter Banks
08.Adaptive Filters
09.Gradient Adaptive Algorithm
10.Recursive Adaptive Algorithm
11.DSP Systems
12.Pipeline and Parallel Processing
13.Implementation of DSP Systems - Textbook and reference
- Materials will be prepared by the lecturer and can be downloaded.
- Related and/or prerequisite courses
- Basic signal processing course is prerequisite. Students are supposed to know z-transform, Fourier analysis, sampling theorem, etc.
- Evaluation
- Marks are based on examination.
- Comment from lecturer
- Although this course is taught in English, questions in Japanese are welcome.
