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kafbox-1.4

于 2018-04-22 发布 文件大小:349KB
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代码说明:

  Kernel自适应滤波器算法是基于Kernels的在线自适应回归算法。非常适合非线性滤波,跟踪和回归。该工具箱包括算法,演示和性能比较工具(Kernel adaptive filtering algorithms are online and adaptive regression algorithms based on kernels. They are suitable for nonlinear filtering, prediction, tracking and nonlinear regression in general. This toolbox includes algorithms, demos, and tools to compare their performance.)

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    语音增强算法,基于LsA-MMSE方法,并对其先验信噪比估计器进行了修改,具体过程参看Isal的论文。语音间隙间的音乐噪声也消除了。(speech enhancement algorithms, based on LsA- MMSE, and signal-to-noise ratio of its prior estimate for the changes, See specific process Isal theses. Voice gap between the music also eliminate the noise.)
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