32 bit single cycle nonlinear VLSI cell for the ICA algorithm
V.K. Jain, Earl E. Swartzlander · IEEE International Conference on Acoustics Speech and Signal Processing · 2008
The Independent Component Analysis (ICA) technique is amenable to a coarse-grain parallel-processing chip architecture. However, the computation of nonlinear functions is critical in this algorithm. An efficient hardware approach is presented here for the computation of such functions , some of which are compound and concatenated. All of the needed functions are regularized into a single algorithm so a new result produced on each cycle even if the function changes from one cycle to the next. The worst case arithmetic error is predicted and bounded. This enables the designer to quickly select the architectural parameters without expensive simulations, while insuring the desired accuracy. A design is presented for the 32 bit fixed point case.