Computationally efficient equalization of room impulse responses robust to system estimation errors

Equalization techniques for room impulse responses (RIRs) are important in acoustic signal processing applications such as speech dereverberation. In practice, only approximate estimates of the RIRs are available and the inverse filters designed from these estimates may cause significant distortion in the equalized signal. A second issue is that existing equalizer design algorithms are computationally expensive. We here propose regularized subband equalizer design algorithm. Both the computational complexity and the robustness of the equalizer design to system estimation errors are improved. An analysis of the computational complexity and simulation examples are provided to support our study.