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과목 개요 | 1. 교과목 개요 2. 디지털 시스템의 장단점 3. 현재와 미래의 기술 동향 | ![]() |
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신호와 시스템 - 분류 및 특성 | 1. 신호의 정의 2. 신호의 표현장법 | ![]() |
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Sampling의 기본 개념 | 1. Sampling의 기본 개념, 2. 정현파 신호의 sampling, 3. 주파수의 개념 | ![]() |
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신호와 시스템 - 표현 | 1. 대표적인 신호와 특성, 2. 시스템의 표현 방법 | ![]() |
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신호와 시스템 - 분류 및 특성, 해석방법, Convolution | 1. 신호와 시스템 - 분류 및 특성, 2. 시스템 해석방법, 3. LTI과 Convolution | ![]() |
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LTI system의 출력 | 1. Convolution 연산 2, Convolution의 특성과 시스템 연결, 3. Block diagram, 4. Cross-correlation | ![]() |
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z-transform | 1. z-transform 정의, 2. z-transform의 특성, 3. system function | ![]() |
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z-transform - inverse | 1. inverse z-transform, 2. Partial fraction expansion, 3. Long division | ![]() |
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Frequency anslysis of signals | 1. Frequency anslysis of signals, 개요, 2. Fourier representations | ![]() |
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DTFT | 1. 중간고사 review, 2. DTFT | ![]() |
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Fourier representation for discrete-time signals | 1. DTFT, 2. DTFS, 3. 특성 | ![]() |
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Frequency-domain analysis of LTI systems | 1. Frequency response of an LTI system, 2. Eigen-function of LTI systems, 3. Frequency selective filters | ![]() |
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Design of filters with pole-zero placement | 1. Frequency response and pole-zero pattern, 2. Design of frequency selective filters | ![]() |
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Design of filters with pole-zero placement - Continued | ![]() |
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Sampling Theorem | Sampling Theorem | ![]() |
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DFT | 1. Frequency-domain sampling, 2. DFT | ![]() |
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DFT - Continued | 1. DFT, 2. DFT의 특성, 3. Circular concolution | ![]() |
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중간고사 2 review | ![]() |
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Signal filtering with circular convolution | 1. Circular and linear convolution, 2. Overlap-and-save method, 3. Overlap-and-add method | ![]() |
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Signal analysis and windowing / FFT | 1. Signal analysis and windowing, 2. FFT | ![]() |
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FFT - Continued | ![]() |
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Implementation of discrete-time systems | 1. Implementation with block diagram, 2. Implementation of FIR system | ![]() |
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Implementation of discrete-time systems - Continued | 1. Lattice structure, 2. Implementation of IIR system | ![]() |
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Filter design | 1. Causality, 2. Filter design with windowing method | ![]() |