Title :
Optimal sampling schemes for the Gaussian hypothesis testing problem
Author :
Bahr, Randall K. ; Bucklew, James A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
fDate :
10/1/1990 12:00:00 AM
Abstract :
A class of sampling designs for a continuous-time Gaussian hypothesis testing problem is discussed. This problem arises frequently in systems where it is necessary to sample the continuous time signal to produce discrete time data for computer processing. A class of periodic nonuniform sampling designs which optimizes performance under an asymptotic probability of error criterion is investigated. A design algorithm for the optimal sampler is presented
Keywords :
computerised signal processing; error statistics; random noise; Gaussian hypothesis testing problem; asymptotic error probability; computer processing; continuous time signal; design algorithm; discrete time data; periodic nonuniform sampling designs; Algorithm design and analysis; Computer errors; Detectors; Nonuniform sampling; Probability; Random processes; Sampling methods; Signal processing; Tail; Testing;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
