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摘要:
The National Institute of Standards and Technology (NIST) document is a list of fifteen tests for estimating the probability of signal randomness degree. <span style="font-family:Verdana;">Test number six in the NIST document is the Discrete Fourier Transform</span><span style="font-family:Verdana;"> (DFT) test suitable for stationary incoming sequences. But, for cases where the input sequence is not stationary, the DFT test provides inaccurate results. For these cases, test number seven and eight (the Non-overlapping Template Matching Test and the Overlapping Template Matching Test) of the NIST document were designed to classify those non-stationary sequences. But, even with test number seven and eight of the NIST document, the results are not always accurate. Thus, the NIST test does not give a proper answer for the non-stationary input sequence case. In this paper, we offer a new algorithm </span><span style="font-family:Verdana;">or test, which may replace the NIST tests number six, seven and eight. The</span> <span style="font-family:Verdana;">proposed test is applicable also for non-stationary sequences and supplies</span><span style="font-family:Verdana;"> more </span><span style="font-family:Verdana;">accurate results than the existing tests (NIST tests number six, seven and</span><span style="font-family:Verdana;"> eight), for non-stationary sequences. The new proposed test is based on the Wigner function and on the Generalized Gaussian Distribution (GGD). In addition, </span><span style="font-family:Verdana;">this new proposed algorithm alarms and indicates on suspicious places of</span><span style="font-family:Verdana;"> cyclic </span><span style="font-family:Verdana;">sections in the tested sequence. Thus, it gives us the option to repair or to</span><span style="font-family:Verdana;"> remove the suspicious places of cyclic sections</span><span><span><span><span></span><span></span><b><span style="font-family:;" "=""><span></span><span></span> </span></b></span></span></span><span><span><span><span></
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篇名 A New Approach for the DFT NIST Test Applicable for Non-Stationary Input Sequences
来源期刊 信号与信息处理(英文) 学科 数学
关键词 Wigner Distribution Shape Parameter Generalized Gaussian Distribution Random Number Generator True Random Number Generator Pseudo Random Number Generator
年,卷(期) 2021,(1) 所属期刊栏目
研究方向 页码范围 1-41
页数 41页 分类号 O17
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Wigner
Distribution
Shape
Parameter
Generalized
Gaussian
Distribution
Random
Number
Generator
True
Random
Number
Generator
Pseudo
Random
Number
Generator
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信号与信息处理(英文)
季刊
2159-4465
武汉市江夏区汤逊湖北路38号光谷总部空间
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