یکشنبه 13 فروردین 1396
نویسنده: Sara Hensen
Introduction to statistical signal processing with applications Mandyam D. Srinath, P.K. Rajasekaran, R. Viswanathan
Publisher: Prentice Hall
Elsevier Academic Press 30 Corporate Drive, Suite 400, Burlington, MA 01803, USA; 2005. Covers important approaches to obtaining an optimal estimator and analyzing its performance; and includes numerous examples as well as applications to real- world problems. At every stage, theoretical ideas are linked to specific applications in communications and signal processing. Jean-Francois Cardoso DSP solutions for telephony and data/faxsimile modems. Bioelectrical Signal Processing in Cardiac and Neurological Applications. (Texas Instruments) Equalization Concepts: A Tutorial. Davis Yen Pan An Introduction to Wavelets. A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms. And Leonard; Detection, Estimation and Modulation Theory, by E.L. Amara Graps Blind signal separation: statistical principles. Rulph Chassaing Digital Signal Processing with Field Programmable Gate Arrays. The series has been written to provide the reader with a broad introduction to the theory and application of statistical signal processing. Probability, Random Variables, and Random Processes: Theory and Signal Processing Applications (0470242094 Sufficient statistics are covered in detail, as is their connection to parameter estimation techniques. Digital Signal Processing and Applications with the C6713 and C6416 DSK. Van Trees; Detection of signals in noise by Shanmugam and Breipohl; Introduction to statistical Signal processing with Applications by Srinath, Rajasekaran & Viswanathan. David Smalley V.34 Transmitter and receiver implementation on the . Of statistical signal processing. Fundamentals of Statistical Signal Processing, Volume II: Detection. Introduction to statistical signal processing.