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This class addresses the representation, analysis, and design of discrete time signals and systems.
0
English
English [CC]
FREE
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Description
The major concepts covered include: Discrete-time processing of continuous-time signals; decimation, interpolation, and sampling rate conversion; flowgraph structures for DT systems; time-and frequency-domain design techniques for recursive (IIR) and non-recursive (FIR) filters; linear prediction; discrete Fourier transform, FFT algorithm; short-time Fourier analysis and filter banks; multirate techniques; Hilbert transforms; Cepstral analysis and various applications.
Course content
- Background Review: Phase, Group Delay, and Generalized Linear Phase Unlimited
- Minimum-phase and All-pass Systems Unlimited
- DT Processing of CT Signals and CT Processing of DT Signals: Fractional Delay Unlimited
- Sampling Rate Conversion Unlimited
- Quantization and Oversampled Noise Shaping Unlimited
- IIR, FIR Filter Structures Unlimited
- Filter Design: IIR Filters Unlimited
- Filter Design: FIR Filters Unlimited
- Multirate Systems and Polyphase Structures Unlimited
- Multirate Systems and Polyphase Structures (cont.) Unlimited
- Linear Prediction and All-pole Modeling Unlimited
- The Levinson-Durbin Recursion Unlimited
- The Discrete Fourier Transform (DFT) Unlimited
- Linear Filtering with the DFT Unlimited
- Spectral Analysis with the DFT Unlimited
- Periodogram Unlimited
- FFT Algorithms Unlimited
- The Goertzel Algorithm and the Chirp Transform Unlimited
- Short-time Fourier Analysis Unlimited
- Modulated Filter Bank Unlimited
Instructor
Massachusetts Institute of Technology
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