公开(公告)号：US20050033786A1

公开(公告)日：2005-02-10

申请号：US10650450

申请日：2003-08-27

申请人： Rinaldo Poluzzi ,  Alberto Savi ,  Giuseppe Martina ,  Davide Vago

发明人： Rinaldo Poluzzi ,  Alberto Savi ,  Giuseppe Martina ,  Davide Vago

IPC分类号： H04R3/00 ,  H04R25/00 ,  G06F17/10

CPC分类号： H04R3/005 ,  H04R25/407 ,  H04R25/507 ,  H04R2225/41 ,  H04R2410/05

摘要： A device for filtering electrical signals has a number of inputs arranged spatially at a distance from one another and supplying respective pluralities of input signal samples. A number of signal processing channels, each formed by a neuro-fuzzy filter, receive a respective plurality of input signal samples and generate a respective plurality of reconstructed samples. An adder receives the pluralities of reconstructed samples and adds them up, supplying a plurality of filtered signal samples. In this way, noise components are shorted. When activated by an acoustic scenario change recognition unit, a training unit calculates the weights of the neuro-fuzzy filters, optimizing them with respect to the existing noise.

摘要翻译： 用于滤波电信号的装置具有在空间上彼此间隔设置的多个输入，并且提供相应的多个输入信号采样。 由神经 - 模糊滤波器形成的多个信号处理通道接收相应的多个输入信号采样并产生相应的多个重构采样。 加法器接收多个重构样本并将其相加，提供多个滤波信号采样。 以这种方式，噪声分量被短路。 当由声学场景变化识别单元激活时，训练单元计算神经 - 模糊滤波器的权重，并相对于现有噪声进行优化。

公开(公告)号：US07085685B2

公开(公告)日：2006-08-01

申请号：US10650450

申请日：2003-08-27

申请人： Rinaldo Poluzzi ,  Alberto Savi ,  Giuseppe Martina ,  Davide Vago

发明人： Rinaldo Poluzzi ,  Alberto Savi ,  Giuseppe Martina ,  Davide Vago

IPC分类号： G06F15/00

CPC分类号： H04R3/005 ,  H04R25/407 ,  H04R25/507 ,  H04R2225/41 ,  H04R2410/05

摘要： A device for filtering electrical signals has a number of inputs arranged spatially at a distance from one another and supplying respective pluralities of input signal samples. A number of signal processing channels, each formed by a neuro-fuzzy filter, receive a respective plurality of input signal samples and generate a respective plurality of reconstructed samples. An adder receives the pluralities of reconstructed samples and adds them up, supplying a plurality of filtered signal samples. In this way, noise components are shorted. When activated by an acoustic scenario change recognition unit, a training unit calculates the weights of the neuro-fuzzy filters, optimizing them with respect to the existing noise.

摘要翻译： 用于滤波电信号的装置具有在空间上彼此间隔设置的多个输入，并且提供相应的多个输入信号采样。 由神经 - 模糊滤波器形成的多个信号处理通道接收相应的多个输入信号采样并产生相应的多个重构采样。 加法器接收多个重构样本并将其相加，提供多个滤波信号采样。 以这种方式，噪声分量被短路。 当由声学场景变化识别单元激活时，训练单元计算神经 - 模糊滤波器的权重，并相对于现有噪声进行优化。