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    ¡¡ Open Course in Cyber Classroom

     

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    0222123£ºMultirate Filter Bank, Wavelet and Applications, Fall 2005
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    Course Home
    Syllabus ¡¡
    Arrangement ¡¡
    Related Resources ¡¡
    Assignment ¡¡
    Discussion ¡¡
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    Syllabus (PDF)
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    Course Objective

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    To provide a solid theoretic background of multirate filter banks and wavelet, you should master the principles and design methods of some types of filter banks, and applications in related fields, such as communications, signal processing and image processing, etc. The ultimate aim of this course is expected to benefit to your own applications fields of interest.

    Upon completion of the course, you should be able to:

    •      Be familiar with techniques for designing filter bank.

    •      Understand the terminologies that are used in the wavelets literature.

    •      Understand the concepts and theory behind wavelets constructions from an

            interdisciplinary perspective that unifies harmonic analysis (mathematics), filter banks

            (signal processing), and multiresolution analysis (computer vision).

    •      Be familiar with the modern signal processing using signal spaces, bases, operators

           and series expansions.

    •      Apply wavelets and multiresolution techniques to a problem at hand, and justify why

            wavelets provide the right tool.

    •      Research, present, and report a selected project within a specified time.

    •      Think critically, ask questions, and apply problem solving techniques.

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         Lecturer

     Prof. Guangming Shi, 

     Research Assistant Pro. Alfonso Fernandez-Vazquez ,          Associate Prof. Xuemei Xie.

     Address: A102, A710 New Technology and Research Building

     Phone: 86+29+88201020, 88204453

     E-mail: gmshi@xidian.edu.cn    xmxie@mail.xidian.edu.cn

         Lectures

     Tuesday: 8:30 ¨C 10:10, J3-08 .

      Friday:    8:30 ¨C 10:10, J3-08(single number of week).

         Course Homepage

     http://www.lstaobao.net/faculty/gmshi/

         Prerequisites

      Digital Signal Processing; Matlab; Linear Algebra.

         Level

      Postgraduate students in the fields of communication, signal  processing, circuit and system

      and  intelligent information processing, etc.

        Topics

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    NO. 

    DATE

    TITLE

    1

    6th Mar.

    Introduction and filter design techniques

    2

    9th Mar.

    Multirate system fundamentals

    3

    13th Mar.

    Multirate filter design techniques: IFIR and FM approach

    4

    20th Mar.

    Homework explanation

    5

    23rd Mar.

    Design of two-channel linear-phase/low-delay filter banks

    6

    27th Mar.

    Two band filter banks with FIR and IIR filters

    7

    3rd Apr.

    M-channel maximally decimated filter banks

    8

    6th Apr.

    M-channel near-perfect-reconstruction cosine-modulated filter banks

    9

    10th Apr.

    M-channel perfect reconstruction cosine modulated filter banks

    10

    17th Apr.

    Assignment explanation and paper intepretation

    11

    20th Apr.

    Non-uniform filter banks

    12

     24th Apr.

    M-channel linear phase filter banks

    13

    8th May

    Homework explanation

    14

    15th May

    Multiresolution analaysis and wavelet theory

    15

    18th May

    Comparison of wavelet and Fourier transform

    16

    22nd May

    Filter banks and discrete wavelet transform

    17

    29th May

    Wavelet with FIR and IIR filters I

    18

    1st  Jun.

    Wavelet with FIR and IIR filters II

    19

    5th Jun.

    M-band wavelet

    20

    12th Jun.

    Wavelet design based on cosine modulated filter banks

     21

    15th Jun.

    Wavelet transform application: denoising and compression

    22

    19th Jun.

    Matching wavelet

    23

    26th Jun.

    Homework explanation

                6th Jul.

    Final Report

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        Textbooks

    ¡¤         P. P. Vaidyanathan, Multirate Systems and Filter Banks. Prentice-Hall. Englewood Cliffs, NJ: 1993.

    ¡¤         G. Strang and T. Q. Nguyen, Wavelets and Filter Banks. Wellesley-Cambridge Press, Wellesley, MA, Revised Edition, 1998.

    ¡¤         Stephane Mallat, A Wavlet Tour of Signal Processing. San Diego: Academic Press, 1999.

    ¡¤     M. Vetterli and J. Kovacevic, Wavelets and Subband Coding, Prentice Hall, Englewood Cliffs, NJ, 1995.

    ¡¤         Fusheng Yang, Engineering Analysis and Applications of Wavelet Transform. Science Press£¬BJ:1999.

        Additional Resources (download)

    ¡¤ P. P. Vaidyanathan, ¡°Multirate digital filters, filter banks, polyphase networks, andapplications: a tutorial¡±, Proc. IEEE, vol. 78, no. 1, pp. 56-93, January 1990.

    ¡¤  P. P. Vaidyanathan, "Theory and design of M-channel maximally decimated quadrature mirror filters with arbitrary M, having the prefect reconstructions property," IEEE Trans. Acoust., Speech, Signal Processing, vol. 35, no. 4, pp. 476-492, April 1987.

    ¡¤  R. D. Koilpillai and P. P. Vaidyanathan, "Cosine-Modulated FIR Filter Banks Satisfying Perfect Reconstruction," IEEE Trans. Signal Processing, vol. 40, no. 4, April 1992.

    ¡¤  T. Q. Nguyen, "Near Perfect Reconstruction Pseudo-QMF Banks," IEEE Trans. Signal Processing, vol. 42, no. 1, pp. 65-76, January 1994.

    ¡¤  T. Q. Nguyen, "A tutorial on Filter Banks and Wavelets," In Proc. IEEE International Conference on Digital Signal Processing, Cypress, June 1995.

    ¡¤   Y. P. Lin and P. P. Vaidyanathan, "Linear Phase Cosine Modulated Maximally Decimated Filter Banks with Perfect Reconstruction," IEEE Trans. Signal Processing, vol. 42, no. 11, November 1995.

    ¡¤    M. Vetterli and D. L. Gall, "Perfect Reconstruction FIR Filter Banks: Some Properties and Factorizations," IEEE Trans. Acoust., Speech, Signal Processing, vol. 37, no. 7, pp. 1057-1071, July 1989.

    ¡¤   M. Vetterli, "A Theory of Multirate Filter Banks," IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-35, no. 3, pp. 356-372, March 1987.

    ¡¤   M. Vetterli and C. Herley, "Wavelets and Filter Banks: Theory and Design," IEEE Trans. Signal Processing, vol. 40, no. 9, pp. 2207-2232, September 1987.   

                More papers can be found in http://ieeexplore.ieee.org/Xplore/dynhome.jsp.

       Grades

    •   Homework:   40%

    •   Final Report:  50%

    •  Seminar:          10%

     Homework

       ¡¤         The homework is required to be printed and handed in to Liang Lili (Address: New S&T Building A205-4) on time.

      Final Report

    ¡¤         Students are suggested to select one topic to finish. The topics can be chosen from a list of suggestions provided by the instructors.

      Requirements

    ¡¤         On homework and projects, you are permitted to discuss the problems for clarification purposes, and to help each other with specific points. However, the overall solution and write-up should be your own work.

    ¡¤         All the format, figures, formulas must be in accordance with the given template.

    ¡¤         All the homework and final report can be written in Chinese or English.

    ¡¤         All the homework and report are accepted with the printed version.

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    Last modification 2007-03-07.

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