Statistical Signal Processing

3 Credits

Introduction to random processes, covariance and spectral density, time average, stationarity, and ergodicity. Response of systems to random inputs. Sampling and quantization of random signals. Optimum filtering, estimation, and hypothesis testing. Prerequisites: ( ECE 108 ) and ( MATH 231 or MATH 309 )