情報処理,メディア処理,画像処理などの基本となる信号のディジタル処理の基礎を習得する。離散時間信号とシステム,サンプリング定理,離散的フーリエ変換,ディジタルフィルタ,2次元フーリエ変換,多次元信号処理などを取りあげる。
This course provides basic knowledge on digital signal processing. Digital signal processing plays an important role in analysis of various information systems. It is assumed that the student is familiar with complex variables and Fourier theory. Topics include discrete-time signals and systems, sampling theorem, z-transform, discrete-time Fourier transform (DFT), fast Fourier transform (FFT) algorithms, digital filters, and multi-dimensional signal processing.
This course provides basic knowledge on digital signal processing for understanding and analyzing information systems. Topics include discrete-time signals and systems, sampling theorem, the z-transform, discrete-time Fourier transform (DFT), fast Fourier transform (FFT) algorithms, digital filters, and multi-dimensional signal processing.
01.Discrete-time representation of signals
02.Discrete-time Fourier transform
03.z-transfom
04.Discrete Fourier transform (DFT)
05.Fast Fourier transform (FFT) algorithms
06.Analog and digital systems
07.FIR digital filters
08.IIR digital filters
09.Two-dimensional signals and two-dimensional Fourier transform
10.Two-dimensional sampling theorem
11.Two-dimensional linear systems
12.Application to image processing
Lecture notes will be handed out in class.
It is assumed that the student is familiar with complex variables and Fourier theory.
Assignments, midterm and final examinations.