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In problem of sparse principal components analysis (SPCA), the goal is to use n i.i.d. samples to estimate the leading eigenvector(s) of a p times p covariance matrix, which are known a priori to be sparse, say with at most k non-zero entries. This paper studies SPCA in the high-dimensional regime, where the model dimension p, sparsity index k, and sample size n all tend to infinity simultaneously...
In this paper, chaos and bifurcation in current mode controlled Cuk converters are studied. At first, basic operation, bifurcation and chaos is investigated. Continues time simulation, iterative map method and eigenvalues analysis is used to obtain chaos and bifurcation of Cuk converters in current mode controlled. Then, a compensating ramp signal is used to improvement chaos behavior and increase...
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