A systematic, unified treatment of orthogonal transform methods that guides the reader from mathematical theory to problem solving in practice.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Ruye Wang is a Professor in the Engineering Department at Harvey Mudd College. Previously a Principal Investigator at the Jet Propulsion Laboratory, NASA, his research interests include image processing, computer vision, machine learning and remote sensing.
Inhaltsangabe
1. Signals and systems 2. Vector spaces and signal representation 3. Continuous-time Fourier transform 4. Discrete-time Fourier transform 5. Applications of the Fourier transforms 6. The Laplace and z-transforms 7. Fourier related orthogonal transforms 8. The Walsh-Hadamard, slant and Haar transforms 9. Karhunen-Loeve transform and principal component analysis 10. Continuous and discrete-time wavelet transforms 11. Multiresolution analysis and discrete wavelet transform Appendix 1. Review of linear algebra Appendix 2. Review of random variables.
1. Signals and systems 2. Vector spaces and signal representation 3. Continuous-time Fourier transform 4. Discrete-time Fourier transform 5. Applications of the Fourier transforms 6. The Laplace and z-transforms 7. Fourier related orthogonal transforms 8. The Walsh-Hadamard, slant and Haar transforms 9. Karhunen-Loeve transform and principal component analysis 10. Continuous and discrete-time wavelet transforms 11. Multiresolution analysis and discrete wavelet transform Appendix 1. Review of linear algebra Appendix 2. Review of random variables.
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