Device and method for stereo noise cancellation

A noise cancellation method, comprising:

• updating a first far-end channel filter according to a first variance yielded based on an input signal and a first far-end signal included in the input signal;
• providing a first output signal obtained by removing a first far-end noise signal from the input signal through the first far-end channel filter;
• updating a second far-end channel filter according to a second variance yielded based on the first output signal and a second far-end signal included in the input signal;
• and
• providing a second output signal obtained by removing a second far-end noise signal from the first output signal through the second far-end channel filter, wherein updating the second far-end channel filter includes estimating the second variance based on the first output signal and the second far-end signal and creating a cross-correlation vector and an autocorrelation matrix based on the second variance.

A noise cancellation method, comprising:

• providing a first estimated output signal based on a first prior far-end channel filter corresponding to a prior frame, an input signal, and a first far-end signal;
• updating a first current far-end channel filter corresponding to a current frame according to the first estimated output signal and the first prior far-end channel filter;
• providing a first output signal obtained by removing a first far-end noise signal from the input signal using the first current far-end channel filter;
• providing a second estimated output signal based on a second prior far-end channel filter corresponding to the prior frame, the first output signal, and a second far-end signal;
• updating the second current far-end channel filter corresponding to the current frame according to the second estimated output signal and the second prior far-end channel filter;
• and
• providing a second output signal obtained by removing a second far-end noise signal from the first output signal using the second current far-end channel filter, wherein updating the first current far-end channel filter includes estimating a first variance based on the first estimated output signal and creating a first inverse autocorrelation matrix based on the first variance.