Title :
Nonlinear recovery of sparse signals from narrowband data
Author_Institution :
Dept. of Comput. Sci., IBM Thomas J. Watson Res. Center, Yorktown Heights, NY
Abstract :
This paper describes the connection between a certain signal recovery problem and the decoding of Reed-Solomon codes. It is shown that any algorithm for decoding Reed-Solomon codes (over finite fields) can be used to recover wide-band signals (over the real/complex field) from narrow-band information. It also shows that a signal with at most N t frequency samples can be recovered from any contiguous band of 2Nt frequency samples
Keywords :
Reed-Solomon codes; decoding; signal sampling; Reed-Solomon codes; algorithm; decoding; finite fields; frequency samples; narrowband data; narrowband information; nonlinear signal recovery; real/complex field; sparse signals; wideband signal recovery; Decoding; Discrete Fourier transforms; Frequency; Galois fields; Interpolation; Narrowband; Polynomials; Reed-Solomon codes; Uncertainty; Wideband;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.480462