This paper presents a novel and efficient algorithm to compute fractional band spectrum digital decomposition without using fast Fourier transformation (FFT). The algorithm is optimized for fixed point architectures in order to reduce the required computational power. It is based on lattice coupled all-pass IIR digital filters, downsampling and recursive techniques. Hence the proposed algorithm is capable of computing up to third band spectrum analysis on low cost processors. Though fixed-point arithmetic is used the spectrum analysis may be performed at very low frequency, irrespective of the sampling frequency, and very narrow band pass filters can be realized. The latter features are critical to achieve with traditional IIR structures. The proposed algorithm is patent pending.
Valdessalici, A., Frassi, G., Bellini, A. (2005). Efficient implementation of a spectrum analyzer for fixed point architectures [10.1109/ICASSP.2005.1416252].
Efficient implementation of a spectrum analyzer for fixed point architectures
BELLINI, ALBERTO
2005
Abstract
This paper presents a novel and efficient algorithm to compute fractional band spectrum digital decomposition without using fast Fourier transformation (FFT). The algorithm is optimized for fixed point architectures in order to reduce the required computational power. It is based on lattice coupled all-pass IIR digital filters, downsampling and recursive techniques. Hence the proposed algorithm is capable of computing up to third band spectrum analysis on low cost processors. Though fixed-point arithmetic is used the spectrum analysis may be performed at very low frequency, irrespective of the sampling frequency, and very narrow band pass filters can be realized. The latter features are critical to achieve with traditional IIR structures. The proposed algorithm is patent pending.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.