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Digital Signal Processing: 数字信号处理视频课程

 
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上部份地点:【上海】同济大学(沪西)/新城金郡商务楼(11号线白银路站)【深圳分部】:电影大厦(地铁一号线大剧院站)/深圳大学成教院【北京分部】:北京中山/福鑫大楼【南京分部】:金港大厦(和燕路)【武汉分部】:佳源大厦(高新二路)【成都分部】:领馆区1号(中和大道)【沈阳分部】:沈阳理工大学/六宅臻品【郑州分部】:郑州大学/锦华大厦【石家庄分部】:河北科技大学/瑞景大厦
近开间(周末班/连续班/晚班):2019年1月26日
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部份程大纲
 
  • Course Topics
    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
     
    Textbooks
    A. V. Oppenheim and R. W. Schafer, Discrete Time Signal Processing, Second Edition, Prentice Hall, 1999
     
    Course Schedule
    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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