文件名称：Prentice Hall - Fundamentals of Statistical Signal Processing-Estimation Theory (Kay)
文件大小：18.64MB
文件格式：PDF
更新时间：2013-01-05 03:16:46
Statistical Signal Processing Estimation Theory
A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms. Covers important approaches to obtaining an optimal estimator and analyzing its performance; and includes numerous examples as well as applications to real- world problems. MARKETS: For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals — radar engineer, sonar engineer, geophysicist, oceanographer, biomedical engineer, communications engineer, economist, statistician, physicist, etc.