**The Theory of Linear Prediction**

by P. Vaidyanathan

**Publisher**: Morgan and Claypool Publishers 2008**ISBN/ASIN**: 1598295756**ISBN-13**: 9781598295757**Number of pages**: 198

**Description**:

Linear prediction theory has had a profound impact in the field of digital signal processing. Although prediction is only a part of the more general topics of linear estimation, filtering, and smoothing, this book focuses on linear prediction. The theory of vector linear prediction is explained in considerable detail and so is the theory of line spectral processes.

Download or read it online for free here:

**Download link**

(2.7MB, PDF)

## Similar books

**Bayesian Methods in the Search for MH370**

by

**Samuel Davey, et al.**-

**Springer**

This book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability distribution of potential MH370 flight paths. The probability distribution was used to define the search zone in the Ocean.

(

**1472**views)

**The Fourier Transform and its Applications**

by

**Brad Osgood**-

**Stanford University**

This text is appropriate for science and engineering students. Topics include: Periodicity and Fourier series; The Fourier transform and its basic properties; Convolution and its applications; Distributions and their Fourier transforms; etc.

(

**10977**views)

**Digital Filters**

by

**Fausto Pedro GarcĂa Marquez**-

**InTech**

Digital filters are the most versatile, practical and effective methods for extracting the information necessary from the signal. This book presents the most advanced digital filters including different case studies and the most relevant literature.

(

**7270**views)

**Principles of Computerized Tomographic Imaging**

by

**Avinash C. Kak, Malcolm Slaney**-

**IEEE Press**

A comprehensive, tutorial-style introduction to the algorithms for reconstructing cross-sectional images from projection data and contains a complete overview of the engineering and signal processing algorithms necessary for tomographic imaging.

(

**16966**views)