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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.861913
