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건국대학교
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페이스북 트위터 카카오톡 네이버밴드 링크복사

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공학 >컴퓨터ㆍ통신 >컴퓨터공학
강의학기

2017년 2학기

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강의계획서

The objective of this class is to study the basic theory of the digital signal processing. In this class, students will learn about concept of sampling, reconstruction, discrete and fast Fourier transform (with various properties), and digital filters. Moreover, students will have a good opportunity to implement relevant topcis, which is very helpful for students to be familiar with handling digital signals.

수강안내 및 수강신청
※ 수강확인증 발급을 위해서는 수강신청이 필요합니다

Introduction to Discerete Signals

차시별 강의

1.	Introduction to Discerete Signals	Properties of discrete signals and concept of digital systems
	Introduction to Discerete Signals	Properties of discrete signals and concept of digital systems
2.	Specific Signal and Transforms	Deta funtion and DC funtion / Complex exponentials and sinusoids/ Relationship of rect and sinc funtions/ Impulse train
3.	Sampling and Reconstruction	Sampling theory
	Sampling and Reconstruction	Three Case of Sampling
	Sampling and Reconstruction	methodolgy for reconstruction
4.	Discrete Fourier Transform	Theory of discrete Fourier transform and its properties
5.	Discrete Fourier Transform	Characteristics of the real-world signal, Remember DFT-related examples
6.	Discrete Fourier Transform	Matrix Interpretation of DFT, Properties of DFT, Zero padding
7.	Discrete Fourier Transform	Derivation of the CT decomposition, Representation by matrix multiplication, Complexity comparison
8.	Discrete Fourier Transform	Theroty of inverse Fourier transform and relationships between spectral and time domains
9.	Fast Fourier Transform	Techniques for fast Fourier transform (butter-fly techniques, etc.)
10.	Practical Spectral Analysis	Concept of rectangular windowing techniques and its variants (Hamming window, etc.)
	Practical Spectral Analysis	Concept of rectangular windowing techniques and its variants (Hamming window, etc.)
	Practical Spectral Analysis	Concept of rectangular windowing techniques and its variants (Hamming window, etc.)
	Practical Spectral Analysis	Real Sinusoids, Example, Introduction
11.	Review of Z Transform	Cocept of z-transform and properties
	Review of Z Transform	Impulse response of the LTI system
	Review of Z Transform	Systems decribed by difference equations
12.	Introduction to Digital Filter	Digital and analog filter, filter specifications
	Introduction to Digital Filter	phase response of digital filters
13.	FIR Filters	Theory of FIR filter and properties
	FIR Filters	Theory of FIR filter and properties
14.	FIR Filters	Zero Locations of LP Filters, Multiband Fiters
15.	FIR Filters	FIR filter design by impulse response truncation (and examples)
	FIR Filters	FIR filter design by impulse response truncation (and examples)