DocumentCode
353588
Title
New estimation technique for a class of chaotic signals
Author
Rajan, Dinesh ; Aazhang, Behnaam
Author_Institution
Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
Volume
1
fYear
2000
fDate
2000
Firstpage
197
Abstract
We propose a new technique for the estimation of chaotic signals in the presence of additive noise. The new method uses statistical measures to restrict the space over which the signals are received. The proposed technique is applicable to a large variety of chaotic signals and has good performance indicated by the low estimation error bias and variance. The complexity of the algorithm is shown to be low
Keywords
chaos; computational complexity; estimation theory; signal processing; white noise; additive noise; algorithm complexity; chaotic signals; estimation error bias; estimation error variance; estimation technique; statistical measures; Additive noise; Additive white noise; Chaos; Chaotic communication; Estimation error; Gaussian noise; Maximum likelihood detection; Maximum likelihood estimation; Piecewise linear techniques; Signal analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location
Istanbul
ISSN
1520-6149
Print_ISBN
0-7803-6293-4
Type
conf
DOI
10.1109/ICASSP.2000.861913
Filename
861913
Link To Document