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Method of noise reduction using instantaneous signal-to-noise ratio as the Principal quantity for optimal estimation

机译:以瞬时信噪比为主要量进行最佳估计的降噪方法

摘要

A system and method are provided that accurately estimate noise and that reduce noise in pattern recognition signals. The method and system define a mapping random variable as a function of at least a clean signal random variable and a noise random variable. A model parameter that describes at least one aspect of a distribution of values for the mapping random variable is then determined. Based on the model parameter, an estimate for the clean signal random variable is determined. Under many aspects of the present invention, the mapping random variable is a signal-to-noise ratio variable and the method and system estimate a value for the signal-to-noise ratio variable from the model parameter.
机译:提供了一种系统和方法,该系统和方法可准确地估计噪声并减少模式识别信号中的噪声。该方法和系统将映射随机变量定义为至少干净信号随机变量和噪声随机变量的函数。然后确定模型参数,该模型参数描述用于映射随机变量的值的分布的至少一个方面。基于模型参数,确定干净信号随机变量的估计值。在本发明的许多方面,映射随机变量是信噪比变量,并且该方法和系统从模型参数估计信噪比变量的值。

著录项

  • 公开/公告号EP1508893B1

    专利类型

  • 公开/公告日2013-05-22

    原文格式PDF

  • 申请/专利权人 MICROSOFT CORP;

    申请/专利号EP20040103502

  • 发明设计人 DROPPO JAMES G.;ACERO ALEJANDRO;DENG LI;

    申请日2004-07-22

  • 分类号G10L21/02;

  • 国家 EP

  • 入库时间 2022-08-21 16:35:38

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