The paper discusses various possible DSP algorithms employable on low-cost platform suitable for mass series production ot automotive sound systems. The analysis takes into account traditional IIR and FIR filtering schemes, dual-rate and hybrid approaches, and new algorithms such as Warped FIR (WFIR) or frequency-domain partitioned convolution (BruteFIR). The comparison does not limits to the implementation, cost and performance of different processing schemes, but also to the hot problem of computing the optimal filtering coefficients for each of these schemes starting from measurements taken inside the car cockpit, making use of examples taken from the real life. The results show that both IIR and FIR structures are capable of good results on low-cost DSP systems; the more advanced algorithms will probably become competitive as soon as a new generation of floating-point DSP processors will also be available for low-cost applications.
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