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Date: 2016-08-04 01:33:51 Pseudorandom number generators Cryptography Theoretical computer science Applied mathematics Random number generation Mersenne Twister Pseudorandomness Algorithm Data Encryption Standard Linear-feedback shift register Reconfigurable computing TestU01		Design & Implementation of Well-Method for Embedded Generation of LPR Numbers Venkateshwarlu Purumala M.Tech, VLSI & Embedded Systems DVR College of Engineering and Technology, Add to Reading List Source URL: www.ijmetmr.com Download Document from Source Website File Size: 758,73 KB Share Document on Facebook

	Design & Implementation of Well-Method for Embedded Generation of LPR Numbers Venkateshwarlu Purumala M.Tech, VLSI & Embedded Systems DVR College of Engineering and Technology, DocID: 1q4Bj - View Document
	Change From: 5 Dimension of Equidistribution Table 3 lists the dimension defects d(v) of SFMT19937 (as a 32-bit integer DocID: 1mqwK - View Document
	Automation of statistical tests on randomness to obtain clearer conclusion Hiroshi Haramoto Abstract Statistical testing of pseudorandom number generators (PRNGs) is indispensable for their evaluation. A common difﬁcul DocID: 164pF - View Document
	A PCG: A Family of Simple Fast Space-Efficient Statistically Good Algorithms for Random Number Generation MELISSA E. O’NEILL, Harvey Mudd College This paper presents a new uniform pseudorandom number generation scheme DocID: 15FqQ - View Document
	Further scramblings of Marsaglia’s xorshift generators Sebastiano Vigna, Universit`a degli Studi di Milano, Italy xorshift* generators are a variant of Marsaglia’s xorshift generators that eliminate linear artifacts DocID: 13Bwk - View Document