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Voice and data privacy using chaotic time sequences

机译:使用混沌时间序列的语音和数据隐私

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A voice and data privacy system which is both very secure, and a powerful error correction algorithm, is described. A convolved, random, chaotic sequence of impulses is used to transmit data along the channel. The resultant signal in the channel closely resembles gaussian random noise, yet it is confined to the same bandwidth as that of the original data. A second, complementary sequence of pseudorandom, chaotic impulses is then derived which deconvolves the data and returns it to a normal signal for demodulation. Privacy is assured by the unique nature of the random code, and trillions of codes are possible in a given channel. Errors are corrected by the bridging effect of the long sequence, and correction of as many as 100 errors in series has been demonstrated by using very long time sequences.
机译:描述了一种非常安全的语音和数据隐私系统和强大的纠错算法。卷积,随机,脉冲的混沌序列用于沿着通道传输数据。信道中的结果信号非常类似于高斯随机噪声,但它被限制在与原始数据的带宽相同。第二种互补序列的伪随机组,然后导出混沌冲动,该混沌冲动,该混乱脉冲解压缩数据并将其返回到正常信号进行解调。通过随机代码的独特性,保密是保证的,并且在给定频道中可以进行万亿代码。通过长序列的桥接效果来校正误差,并通过使用很长的时间序列来证明序列的校正多达100次误差。

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