- Lecturer
- Nishihara Akinori
- Place
- Mon7-8(W9-213)
- Credits
- Lecture2 Exercise0 Experiment0
- Code
- 56007
- Syllabus updated
- 2013/3/29
- Lecture notes updated
- 2013/7/12
- Semester
- Spring Semester
Outline of lecture
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.
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
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
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.
Comments from lecturer
Although this course is taught in English, questions in Japanese are welcome.
