An Efficient Multichannel Equalization Algorithm for Audio Applications

The challenge of multichannel equalization for audio applications lies in the physical properties of the underlying multi-input/multi-output (MIMO) linear time-invariant systems which are generally non-minimum phase and exhibit extremely long impulse responses, thereby imposing a considerable computational burden on the equalization task particularly when iterative solutions are sought. In this paper we propose a computationally efficient non-iterative multi-channel equalization algorithm. The proposed algorithm is based on the fast Fourier transform (FFT) and allows for faster and considerably more accurate inversion of MIMO systems compared to traditional deconvolution algorithms and adaptive solutions. We address the accuracy and limitations of the proposed algorithm and present simulation results illustrating its performance.