Echo channel estimation and the tracking of channel using the transform domain LMS algorithm are introduced in this article.
提出了对回波信道的初估计并利用变换域LMS算法进行信道跟踪的一种方案。
Propose an overlap structure equalization algorithm for the pre-echo channel, which can weaken the dependence on feedforward equalizer, enhance the performance and reduce the complexity.
提出了一种对抗前径信道的重叠结构均衡算法，可以降低系统对抗前径时对前馈滤波器长度的依赖，提高系统的性能并降低复杂度。
Adaptive filtering is widely used in system identification, signal separation, channel equalization and echo cancellation and other fields.
自适应滤波广泛应用于系统识别、信号分离、信道均衡以及回声抵消等领域。
The software algorithms are realized in host CPU, including channel parameters estimation, bit allocation, equalization, echo cancellation, FFT, IFFT, encoding, decoding, etc.
其中软件算法部分全部在主机CPU中实现，其中包括信道初始化，比特分配策略，符号同步，信道均衡，回波抵消，编码解码，FFT和IFFT等等。
Multi channel acoustic echo cancellation (AEC) systems suffer from the non uniqueness problem of the adaptive identification solution because of the correlation of the input signals.
多路回波消除问题的本质难点是由于多路输入信号之间的强相关性而导致的自适应滤波器解不唯一的问题。
Both channel and echo response can be shortened at random with a single FIR equalizer by following the minimum mean square error rule.
使用最小均方误差准则，用一个FIR均衡器联合缩短信息与回波冲激响应，有效地缩短了回波和信道冲激响应长度。
In the multi-channel echo cancellation, the nonlinear pre-processing is always used to overcome the non-convergence of the filter caused by the strong correlation of input signals.
非线性预处理是解决多通路回波消除中因输入信号间的强相关性而引起的滤波器不收敛的有效方法。
Lastly, we compare channel-cancellation result of simulated date and real dual-channel echo data, The results proved this improved CSI method is reliable and effectual.
最后通过仿真数据和实际双通道数据的通道对消结果，证明改进后的算法可有效提高杂波抑制性能。
Lastly, we compare channel-cancellation result of simulated date and real dual-channel echo data, The results proved this improved CSI method is reliable and effectual.
最后通过仿真数据和实际双通道数据的通道对消结果，证明改进后的算法可有效提高杂波抑制性能。
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