DocumentCode :
2946494
Title :
Efficient implementation of a spectrum analyzer for fixed point architectures
Author :
Valdessalici, Antonio ; Frassi, Giacomo ; Bellini, Alberto
Author_Institution :
AIDA srl, Parma Univ., Italy
Volume :
5
fYear :
2005
fDate :
18-23 March 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.
Keywords :
IIR filters; band-pass filters; fixed point arithmetic; recursive filters; signal sampling; spectral analysers; FFT; IIR structures; computational power; downsampling; fast Fourier transformation; fixed point architectures; fractional band spectrum digital decomposition; lattice coupled all-pass IIR digital filters; low cost processors; optimized algorithm; recursive techniques; sampling frequency; spectrum analyzer; third band spectrum analysis; very low frequency analysis; very narrow band pass filters; Algorithm design and analysis; Computer architecture; Costs; Digital filters; Fixed-point arithmetic; Frequency; Lattices; Performance analysis; Sampling methods; Spectral analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8874-7
Type :
conf
DOI :
10.1109/ICASSP.2005.1416252
Filename :
1416252
Link To Document :
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