Signal Processing of Radar Echoes Using Wavelets and Hilbert ...
Wavelets and Sparse Signal Processing
Transcript of Wavelets and Sparse Signal Processing
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Wavelets and Sparse Signal Processing
Hongkai Xiong熊红凯
http://min.sjtu.edu.cn
Department of Electronic EngineeringShanghai Jiao Tong University
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Hongkai Xiong, distinguished professor
Office : 1-309, No.1, SEIEE Bld.
Email: [email protected]
Web-page: http://min.sjtu.edu.cn
Wenrui Dai, associate professor Office : 1-304, No.1, SEIEE Bld.
Email: [email protected]
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Office hour:• 1-304, NO.1, SEIEE Bld.• 19:00-21:00, Thursday.
Teaching Assistants:• Hao Zhang
Email: [email protected]
• Jiaqi SunEmail: [email protected]
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Part I - fundamentals
Continuous time Fourier transform Discrete time Fourier transform Discrete Fourier transform Z transform
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Part II – wavelets and sparse signal processing
Time meets frequency Wavelet frames Wavelet zoom Wavelet bases Multiscale geometric analysis Lifting wavelet and filter banks Sparse representation Scattering transform and Convolutional Sparse Coding Graph signal processing
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Text books and references Stéphane Mallat, A Wavelet Tour to Signal
Processing, The Sparse Way, Third Edition,
Elsevier, 2009
Michael Elad, Sparse and Redundant
Representations, From Theory to Applications
in Signal and Image Processing, Springer, 2010
Alan V. Oppenheim, Signals & Systems, Second
Edition, Publishing House of Electronics Industry of
China
Website: http://min.sjtu.edu.cn/courses/wt.htm
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Related Sources “Sparse and Redundant Representations and Their
Applications in Signal and Image Processing”https://elad.cs.technion.ac.il/236862-course-webpage-winter-semester-2018-2019/
“Wavelets in Signal Processing”http://www.ifp.illinois.edu/~minhdo/teaching/wavelets.html
“Wavelets, Filter Banks and Applications”https://ocw.mit.edu/courses/mathematics/18-327-wavelets-filter-banks-and-applications-spring-2003/
http://www.numerical-tours.com/
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Requirements and grading
Homework and attendance (20%)
Projects (40%)
Final Examination (40%)
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Projects (report + source code)
Harmonic analysis
Multi-scale geometry analysis
Wavelet and Filter bank design
Compressive sensing
Sparse coding, representation, dictionary learning
Generalized source coding, and subband coding
Multidimensional signal processing
Other relevant topics
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Final Examination (online)• 3 mandatories + 2 optionals (3 days)
• Theoretical analysis
• Algorithm implementations
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Many Thanks
Q & A