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Introduction to statistical signal processing with applications Mandyam D. Srinath, P.K. Rajasekaran, R. Viswanathan
Publisher: Prentice Hall

A natural evolution of statistical signal processing, in connection with the progressive increase in computational power, has been exploiting higher-order information. R and Mathematica are statistical and mathematical programming languages that have general-purpose features. Covers important approaches to obtaining an optimal estimator and analyzing its performance; and includes numerous examples as well as applications to real- world problems. These chapters give an introduction to their topics as well as how to carry out computations in SciPy. The series has been written to provide the reader with a broad introduction to the theory and application of statistical signal processing. Theory and Applications of Numerical Analysis, Sec. Students as well as researchers and practicing engineers will find the text an invaluable introduction and resource for scalar and vector parameter estimation theory and a convenient reference for the design of successive parameter estimation algorithms. Fundamentals of Statistical Signal Processing, Volume I - Estimation Theory by Steven Kay English | 1993-04-05 | ISBN: 0133457117 | 303 pages | DJVU | 5.3 mb Fundamentals of Statistical Sig. Book Description: A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms. Fundamentals of Statistical Signal Processing, Volume II: Detection. The Python approach has its advantages — I'd rather do math in a general There are three chapters on more specific applications: signal processing, data mining, and computational geometry. Introduction to Statistical Signal Processing. MARKETS: For practicing Bayesian Ideas and Data Analysis - An Introduction for Scientists and Stati . At a minimum, we require each of our majors to complete an Introduction to Electrical and Computer Engineering course containing an embedded systems module, a basic course in digital design, and a first course in microprocessor programming .