EE403: Digital Signal Processing
Berkeley数字信号处理视频课程
（27讲  ￥72）
Instructor: Professor Avideh Zakhor

        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。
        加州大学伯克莱分校（UC Berkeley）作为世界一流大学，有着世界顶级的大师，所设课程也都是精品中的精品，紧跟最新科技的进展。本站推出的美国一流大学精品视频课程套装，让您足不出户就能一睹世界一流大学大师教学的风采；聆听大师的声音、拓展国际化的视野、与国际水平看齐、实现自我价值的提升。

1. Fast review of LTI systems, DTFT, sampling
2. Multirate signal processing, Bilateral Z Transform
3. Discrete Fourier Transform, Fast Fourier Transform
4. Quantization, finite word length effects
5. FIR and IIR filter design techniques
6. Filter banks, Wavelets
7. Multidimensional signal processing: Z transform, filter design, reconstruction from phase, magnitude, DFT
8. 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
　

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