Teaching Programming and Debugging Techniques for Multirate Signal Processing

被引:0
|
作者
Harris, Fred [1 ]
Dick, Chris [2 ]
机构
[1] Univ Calif San Diego, La Jolla, CA 92093 USA
[2] Xilinx Corp, San Jose, CA USA
关键词
Multirate signal processing; Teaching; Probing and Debugging script;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Much of the material we teach in our DSP classes deal with linear time invariant (LTI) systems. Linearity and time invariance are important properties that lead to Insight and comprehension through capable analysis and synthesis tools. We learn to appreciate the importance of impulse response, convolution, transfer functions, frequency response, and the Nyquist sampling criterion, When we introduce multirate signal processing we introduce the process of resampling and we find ourselves in unfamiliar territory. The quote "Toto, I've a feeling we're not in Kansas anymore! comes to mind. Dorothy was right! We arc now in the land of linear time varying (LTV) systems. In this land we embed one or more sample rate changes in the signal flow path which result in systems with multiple impulse responses. We become uncomfortably aware that the system does not have a transfer function and that our analysis and synthesis tools don't work here, We must develop new perspectives while teaching new ways of analyzing and synthesizing LTV systems. We must give our students new approaches and tools to test and probe implementations to verify proper operation as well as to debug and repair faulty realizations of multirate systems.
引用
收藏
页数:5
相关论文
共 50 条
  • [21] Genetic programming techniques that evolve recurrent neural network architectures for signal processing
    EsparciaAlcazar, AI
    Sharman, KC
    NEURAL NETWORKS FOR SIGNAL PROCESSING VI, 1996, : 139 - 148
  • [22] A stochastic multirate signal processing approach to high-resolution signal reconstruction
    Scrofani, JW
    Therrien, CW
    2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING, 2005, : 561 - 564
  • [24] Fractional Fourier domain analysis of cyclic multirate signal processing
    Meng XiangYi
    Tao Ran
    Wang Yue
    SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES, 2008, 51 (06): : 803 - 819
  • [25] MULTICHANNEL DATA ACQUISITION SYSTEM USING MULTIRATE SIGNAL PROCESSING
    Pal, Gyan Prakash
    Dubey, Naveen
    Pal, Sadhana
    PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON ISSUES AND CHALLENGES IN INTELLIGENT COMPUTING TECHNIQUES (ICICT), 2014, : 688 - 692
  • [26] Image/video scaling algorithm based on multirate signal processing
    Oraintara, S
    Nguyen, TQ
    1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 2, 1998, : 732 - 736
  • [27] Emerging applications of multirate signal processing and wavelets in digital communications
    Massachusetts Inst of Technology, Cambridge, United States
    Proc IEEE, 4 (586-603):
  • [28] Fractional Fourier domain analysis of cyclic multirate signal processing
    XiangYi Meng
    Ran Tao
    Yue Wang
    Science in China Series E: Technological Sciences, 2008, 51 : 803 - 819
  • [29] Emerging applications of multirate signal processing and wavelets in digital communications
    Wornell, GW
    PROCEEDINGS OF THE IEEE, 1996, 84 (04) : 586 - 603
  • [30] Equalization of Frequency Selective Channels Using Multirate Signal Processing
    Bayramoglu, Muhammet Fatih
    Juntti, Markku
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2018, 66 (19) : 5111 - 5126