Digital Signal Processing

Digital Signal Processing是UC Berkeley电子工程专业高年级本科生课程。课程共27讲，每讲80分钟左右，包括：.rm 格式的课程视频和与视频课程内容配套使用的完整的课程讲义，且本课程视频配有英文字幕。有了课程讲义和视频字幕让您的学习更有效，在潜移默化中提高专业知识和英语能力。

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● Fast review of LTI systems, DTFT, sampling

● Multirate signal processing, Bilateral Z Transform

● Discrete Fourier Transform, Fast Fourier Transform

● Quantization, finite word length effects

● FIR and IIR filter design techniques

● Filter banks, Wavelets

● Multidimensional signal processing: Z transform, filter design, reconstruction from phase, magnitude, DFT

● Applications: speech and video processing

A. V. Oppenheim and R. W. Schafer, Discrete Time Signal Processing, Second Edition, Prentice Hall, 1999

Lecture 1: What is DSP? Intro to LTI systems

Lecture 2: The DTFT

Lecture 3: Basics of Sampling

Lecture 4: The Z-Transform

Lecture 5: Upsampling and Interpolation

Lecture 6: LTI

Lecture 7: Different Realization of LCC DE

Lecture 8: Flowgraphs/Realizations of IIR Filters

Lecture 9: Transposition Theorem

Lecture 10: Linear Phase Filtering

Lecture 11: Generalized Linear Phase Filter

Lecture 12: Filter Design

Lecture 13: FIR Filter Design Using Windows

Lecture 14: Optimal FIR Filter Design

Lecture 15: Optimal FIR Filter Design, continued

Lecture 16: Optimal FIR Filter Design, continued

Lecture 17: IIR Filter Design

Lecture 18: Bilinear Transformation

Lecture 19: IIR Filter Design Transformation

Lecture 20: Discrete Fourier Series

Lecture 21: DFT = Discrete Fourier Transform

Lecture 22: How to Use DFT to do Convolution

Lecture 23: Using DFT for Filtering Infinitely Long Sequences

Lecture 24: DCT and Its Relation to DFT

Lecture 25: Fast Fourier Transform

Lecture 26: Fouric Analysis of Signals using DFT