伪随机噪声在数字信号处理中具有重要的实用价值，白噪声是产生具有指定概率分布的伪随机噪声的基础。
The pseudo-random data are widely applied in digital signal processing. White noise data is the basis of generating random data, which has the expected probability distribution.
为检验算法的抗干扰能力，在试验图像上叠加了零均值的伪随机噪声。提出了实施这些算法方面的一些考虑。
To examine noise immunity of algorithms, pseudorandom noise mean of which is zero is added to the test image' Some considerations the for implementing these algorithms are presented.
对秘密信息的处理来说，可以将秘密信息扩频和伪随机化，使其具有类似于随机噪声的特性从而不易被探知。
Treating secret information is to enlarge its spectrum and pseudo - randomizes it so that make secret information not detected like stochastic noise.
对秘密信息的处理来说，可以将秘密信息扩频和伪随机化，使其具有类似于随机噪声的特性从而不易被探知。
Treating secret information is to enlarge its spectrum and pseudo - randomizes it so that make secret information not detected like stochastic noise.
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