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...Electronic letters on computer vision and image analysis of the measurement matrix in directional predictive codingforcompressivesensingofmedicalimages g kowsalya a hepzibah christinal d abraham chandy s jebasingh chandrajit l bajaj department mathematics karunya institute technology sciences coimbatore india electronics communication engineering computational applied chair visualization for university texas austin received march accepted december abstract compressive sensing signals involves three fundamental steps sparse representation linear mea surement recovery signal this paper focuses analysing efficiency various matrices medical images based theoretical coding during encoding prediction is efficiently chosen by four modes block measurements work gaussian bernoulli laplace logistic cauchy ran dom are used as while decoding same optimal de quantized peak to noise ratio sparsity evaluating performance experimental result shows that spatially sdpc with performs better compared scal...