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

By Jose Maria Giron-Sierra

This is the second one quantity in a trilogy on sleek sign Processing. the 3 books offer a concise exposition of sign processing themes, and a advisor to aid person useful exploration in keeping with MATLAB programs.

This moment e-book specializes in contemporary advancements in line with the calls for of recent electronic applied sciences. it really is divided into elements: the 1st half comprises 4 chapters at the decomposition and restoration of indications, with precise emphasis on photographs. In flip, the second one half contains 3 chapters and addresses vital data-based activities, resembling 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

A set of 6 Â 9 training faces . . . . . . . . Average face . . . . . . . . . . . . . . The eigenvalues . . . . . . . . . . . . . The 10 first eigenfaces . . . . . . . . . . Distance between prepared and reconstructed faces Recovered faces (adding the average face) . . . Distances for known faces (left face space; right prepared faces). . . . . . . . . . . Known test faces: prepared and reconstructed . . Distances for unknown faces (left face space; right prepared faces .

32 xxxix FunctionANeigf() . . . . . . . . . . . . . . . . . . . Color reduction using K-means . . . . . . . . . . . . . . Function Palette() . . . . . . . . . . . . . . . . . . . Modulated filters: analysis and synthesis . . . . . . . . . . JPEG simulation . . . . . . . . . . . . . . . . . . . . Compute Daubechies 4 scaling function with dyadic approach. . Compute Daubechies phi(t), psi(t) . . . . .

16 Listings Webcam image acquisition . . . . . . . . . . . . . . . . Inverse Radon transform with filter . . . . . . . . . . . . Laplacian pyramid . . . . . . . . . . . . . . . . . . . Laplacian pyramid, Fourier masks . . . . . . . . . . . . . Horizontal derivative of Gaussian . . . . . . . . . . . . . Using x-y basis . . . . . . . . . . . . . .

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