Signal Processing: A Mathematical Approach, Second Edition

Signal Processing: A Mathematical Approach, Second Edition

English | ISBN: 1482241846 | 2014 | 439 Pages | PDF | 3 MB


Signal Processing: A Mathematical Approach is designed to show how many of the mathematical tools the reader knows can be used to understand and employ signal processing techniques in an applied environment. Assuming an advanced undergraduate- or graduate-level understanding of mathematics-including familiarity with Fourier series, matrices, probability, and statistics-this Second Edition:
Contains new chapters on convolution and the vector DFT, plane-wave propagation, and the BLUE and Kalman filters
Expands the material on Fourier analysis to three new chapters to provide additional background information
Presents real-world examples of applications that demonstrate how mathematics is used in remote sensing

Featuring problems for use in the classroom or practice, Signal Processing: A Mathematical Approach, Second Edition covers topics such as Fourier series and transforms in one and several variables; applications to acoustic and electro-magnetic propagation models, transmission and emission tomography, and image reconstruction; sampling and the limited data problem; matrix methods, singular value decomposition, and data compression; optimization techniques in signal and image reconstruction from projections; autocorrelations and power spectra; high-resolution methods; detection and optimal filtering; and eigenvector-based methods for array processing and statistical filtering, time-frequency analysis, and wavelets.

Download:

http://longfiles.com/vy8fj5l23aq6/Signal_Processing_A_Mathematical_Approach-_Second_Edition.pdf.html

[Fast Download] Signal Processing: A Mathematical Approach, Second Edition


Ebooks related to "Signal Processing: A Mathematical Approach, Second Edition" :
Image Processing and Acquisition using Python
The Technology of Binaural Listening (Modern Acoustics and Signal Processing)
Theoretical Foundations of Digital Imaging Using MATLAB
Noise and Vibration Analysis: Signal Analysis and Experimental Procedures
Digital Image Processing and Analysis: Human and Computer Vision Applications with CVIPtools, 2nd E
An Introduction to Parametric Digital Filters and Oscillators
Bayesian Approach to Image Interpretation
Data Assimilation: The Ensemble Kalman Filter
Linear Time-Invariant Systems
Digital Signal Processing: with selected topics: Adaptive Systems, Time-Frequency Analysis, Sparse S
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.