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Grid computing began with an emphasis on compute-intensive tasks like prime number finding, key cracking, and so on. These applications benefit from massive parallelism for their computation needs, but are not data intensive; the data that they operate on does not scale in proportion to the computation they perform. As such, they can be easily divided into(More)
"Super-exponential" methods (SEMs) are attractive algorithms for solving blind signal separation problems. Conventional SEMs are so sensitive to Gaussian noise that they cannot work in a noisy environment. To overcome this drawback, we proposed a new SEM , which does not utilise second-order statistics but only higher-order cumulants. Hence, the proposed(More)
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