Download Digital Signal Processing with Matlab Examples, Volume 2 by Jose Maria Giron-Sierra PDF

By Jose Maria Giron-Sierra

 

This is the second one quantity in a trilogy on smooth sign Processing. the 3 books offer a concise exposition of sign processing subject matters, and a consultant to aid person functional exploration in keeping with MATLAB programs.

This moment publication specializes in contemporary advancements in accordance with the calls for of latest electronic applied sciences. it's divided into components: the 1st half comprises 4 chapters at the decomposition and restoration of indications, with specific emphasis on pictures. In flip, the second one half comprises 3 chapters and addresses vital data-based activities, reminiscent of adaptive filtering, experimental modeling, and classification.

 

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Additional resources for Digital Signal Processing with Matlab Examples, Volume 2 Decomposition, Recovery, Data-Based Actions

Example text

Dual-tree complex wavelet example . . . . . . . . . . . . Complex 2D dual-tree wavelets display . . . . . . . . . . . D_afilt . . . . . . . . . . . . . . . . . . . . . . . D_1af . . . . . . . . . . . . . . . . . . . . . . . . D_sfilt . . . . . . . . . . . . . . . . . . . . . . . . D_1sf . . . . . . . . . . . . . . . . . . . . . . . . Observer example, in noisy conditions . . . . .

Example of Vector Fitting . . . . . . . . . . . . . . . . Negentropy projection pursuit . . . . . . . . . . . . . . . Projection on the LDA line . . . . . . . . . . . . . . . Kernel-SVM classification example . . . . . . . . . . . . Backpropagation example . . . . . . . . . . . . . . . . Example of Eigenfaces for recognition . . . . . . . . . . . ANeigf . . . . .

Stp_HI . . . . . . . . . . . . . . . . . . . . . . . . stp_LI . . . . . . . . . . . . . . . . . . . . . . . . stp_BI . . . . . . . . . . . . . . . . . . . . . . . . Steerable pyramid . . . . . . . . . . . . . . . . . . . Haar wavelet transform of a basic image . . . . . . . . . . Haar wavelet transform of a basic image . . . . . . . . . . Haar wavelet transform of square and rhombus .

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