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It has been known for a while that l1-norm relaxation can in certain cases solve an under-determined system of linear equations. Recently, [5, 10] proved (in a large dimensional and statistical context) that if the number of equations (measurements in the compressed sensing terminology) in the system is proportional to the length of the unknown vector then there is a sparsity (number of non-zero elements...
In this paper, complementary Huffman encoding techniques are proposed for test data compression of complex SOC designs during manufacturing testing. The correlations of blocks of bits in a test data set are exploited such that more blocks can share the same codeword. Therefore, beside the compatible blocks used in previous works, the complementary property betweens blocks can also be used. Based on...
Recent work has shown that compressed sensing can be successfully applied in distributed scenarios. In this framework, we study the exploitation of the correlation statistics in the encoding and recovery processes for independently transmitted Gaussian correlated sources, obtaining the optimal projection matrices in the MMSE sense. Encoding is performed separately for each source using either random...
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