Two new chaotic based coding and decoding methods are introduced and discussed. Channel estimation is evaluated when chaotic coded sequences are employed. A speech transmission scenario using chaotic coded speech is considered and channel estimation is carried out. The results show that a modelling misadjustment improvement of 24 dB/100 iterations is achievable. This represents a 6 fold improvement compared to LMS adaptation for a 128 tap digital adaptive filter using a white noise process.
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机译：介绍并讨论了两种新的基于混沌的编码和解码方法。当采用混沌编码序列时，评估信道估计。考虑使用混沌编码语音的语音传输场景，并执行信道估计。结果表明，可以实现24 dB / 100迭代的模型失调改善。与使用白噪声处理的128抽头数字自适应滤波器的LMS自适应相比，这代表了6倍的改进。
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