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 Modeling, Estimation and Optimal Filtration in Signal Processing
The purpose of this book is to provide graduate students and practitioners with traditional methods and more recent results for model-based approaches in signal processing.
Firstly, discrete-time linear models such as AR, MA and ARMA models, their properties and their limitations are introduced. In addition, sinusoidal models are... |  |  |  |  MATLAB: An Introduction with Applications
MATLAB is a powerful language for technical computing. The name MATLAB
stands for MATrix LABoratory, because its basic data element is a matrix (array).
MATLAB can be used for math computations, modeling and simulations, data
analysis and processing, visualization and graphics, and algorithm development.
MATLAB is widely used... |
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 Data Structures and Algorithms Using Python
The standard second course in computer science has traditionally covered the fun-
damental data structures and algorithms, but more recently these topics have been
included in the broader topic of abstract data types. This book is no exception,
with the main focus on the design, use, and implementation of abstract data types.
The... |  |  Fundamentals of Sensor Network Programming: Applications and Technology
Sensor processing is a central and an important problem in aerospace/defense, automation,
medical imaging, and robotics, to name only a few areas. A surveillance
system used in aerospace and defense is an example of a sensor processing system.
It uses devices such as infrared sensors, microwave radars, and laser radars that are... |  |  Lifehacker: The Guide to Working Smarter, Faster, and Better
A new edition, packed with even more clever tricks and methods that make everyday life easier
Lifehackers redefine personal productivity with creative and clever methods for making life easier and more enjoyable. This new edition of a perennial bestseller boasts new and exciting tips, tricks, and methods that strike a... |
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