An adaptive signal processing system utilizes a Multistage Weiner Filter having an analysis section and a synthesis section that includes a processor. The processor includes an algorithm for generating a data adaptive linear transformation, computing an adaptive weighting wmed of the data, and applying the computed adaptive weighting wmed to a function of a main input signal and an auxiliary input signal to generate an output signal. A plurality of building blocks in a Gram-Schmidt cascaded canceller-type configuration sequentially decorrelate input signals from each other to produce a single filtered output signal. Each building block generates an adaptive weight wmed that is applied to generate a local output signal. The effect of non-Gaussian noise contamination on the convergence MOE of the system is negligible. In addition, when desired signal components are included in weight training data they cause little loss of noise cancellation.
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机译：自适应信号处理系统利用具有分析部分和包括处理器的合成部分的多级韦纳滤波器。该处理器包括一种算法，该算法用于生成数据自适应线性变换，计算数据的自适应加权w med ，并将计算出的自适应加权w med 应用于a的函数。主输入信号和辅助输入信号以产生输出信号。 Gram-Schmidt级联抵消器类型配置中的多个构件块将输入信号彼此依次解相关以生成单个滤波后的输出信号。每个构造块都生成一个自适应权重w med ，该权重用于生成本地输出信号。非高斯噪声污染对系统收敛MOE的影响可以忽略不计。另外，当重量训练数据中包括所需的信号分量时，它们几乎不会造成噪声消除的损失。
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