Real-Time Massive Multichannel Adaptive Filtering Techniques

This postdoctoral researcher fellowship aims at designing and implementing algorithms for massive multichannel filtering to be used in a adaptive filtering context.

Adaptive filtering is required for adaptive sound field synthesis algorithm developped in the ASFHEAR project. Usually, the adaptive filtering algorithms are formulated using Finite Impulse Response (FIR) filters. The larger the frequency band to be processed, the longer the FIRs (several thousand coefficients for processing speech signals). Usually, the number of convolutions increases drastically with the algorithm complexity, making the massive real-time operations unfeasible on modern controllers. We are therefore interested on developing a parallel adaptive filtering approach using Infinite Impulse Response (IIR) filters (i.e., biquad filters). These filters are individually inexpensive, and parallel computing is well suited to modern controllers.

More informations on the link below.