Title :
Sampling schemes for sequential detection in colored noise
Author :
Niu, Ruixin ; Varshney, Pramod K.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., NY, USA
Abstract :
In this paper, four sampling schemes for sequential detection in colored noise are introduced. Two of them use uniform sampling procedures with high and low sampling rates, respectively. The other two employ groups of samples, which are separated by long intergroup gaps such that the intergroup correlations are negligible. Their performance, in terms of average termination time, is derived analytically. Under the assumption that all the schemes have the same power and sampling interval (x), their efficiencies are compared through analytical and numerical methods. Our results show that the scheme using group sampling with an optimal signal is the most efficient.
Keywords :
optimisation; sequential estimation; signal denoising; signal detection; signal sampling; colored noise; efficiencies; group sampling; intergroup correlations; intergroup gaps; optimal signal; performance; sampling rates; sequential detection; uniform sampling procedures; Artificial intelligence; Character generation; Colored noise; Detectors; Sampling methods; Sequential analysis; Signal sampling; Signal to noise ratio; Superluminescent diodes; Termination of employment;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326358