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Scientific Programming Using MATLAB, Fall 2011-2012

Scientific Programming Using MATLAB, Fall 2011-2012. TIRGUL #8: Advanced functions. Lesson outline. Functions with variable numbers of arguments Function handles Nested and sub-functions Evaluations Recursion. Functions with variable numbers of arguments.

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407 views • 23 slides

Scientific Programming Using MATLAB, Fall 2010-2011

Scientific Programming Using MATLAB, Fall 2010-2011. TIRGUL #9: Advanced functions. Lesson outline. Functions with variable numbers of arguments Function handles Nested and sub-functions Evaluations Recursion. Functions with variable numbers of arguments.

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385 views • 22 slides

Lossy Compression

E[X(i,j)X(i-1,j)] E[X 2 (i,j)]. E[X(i,j)X(i,j-1)] E[X 2 (i,j)]. Lossy Compression. Based on spatial redundancy Measure of spatial redundancy: 2D covariance Cov X (i,j)=  2 e - a (i*i+j*j) Vertical correlation r 1 = Horizontal correlation r 2 = For images we assume equal correlations

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503 views • 13 slides

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