Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing) - Image 1

Price loading...

Springer Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)

Name: Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)
Brand: Springer

Computer Science

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

This book is concerned with the processing of signals that have been sam pled and digitized. The fundamental theory behind Digital Signal Process ing has been in existence for decades and has extensive applications to the fields of speech and data communications, biomedical engineering, acous tics, sonar, radar, seismology, oil exploration, instrumentation and audio signal processing to name but a few [87]. The term "Digital Signal Processing", in its broadest sense, could apply to any operation carried out on a finite set of measurements for whatever purpose. A book on signal processing would usually contain detailed de scriptions of the standard mathematical machinery often used to describe signals. It would also motivate an approach to real world problems based on concepts and results developed in linear systems theory, that make use of some rather interesting properties of the time and frequency domain representations of signals. While this book assumes some familiarity with traditional methods the emphasis is altogether quite different. The aim is to describe general methods for carrying out optimal signal processing.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 146126880X
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Publication Date: 23 October 2012
Listed Since: 20 September 2013

Barcode

No barcode data available

Springer Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)

Digital Signal Processing and Spectral Analysis for Scientists: Concepts and Applications (Signals and Communication Technology)

Signal Processing: Signals, Filtering, and Detection

Digital and Statistical Signal Processing

The Variational Bayes Method in Signal Processing (Signals and Communication Technology)

The Variational Bayes Method in Signal Processing (Signals and Communication Technology)

Multimedia Signal Processing: Theory and Applications in Speech, Music and Communications

Fundamentals of Adaptive Signal Processing (Signals and Communication Technology)

Underwater Acoustic Digital Signal Processing and Communication Systems

Biomedical Signal Processing and Signal Modeling

Advanced Digital Signal Processing and Noise Reduction

Practical Signal Processing

Statistical Signal Processing: Modelling and Estimation (Advanced Textbooks in Control and Signal Processing)

Signal Processing in Medicine and Biology: Innovations in Big Data Processing

Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications

Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications

Analog and Digital Signals and Systems

Bayesian Signal Processing: Classical, Modern, and Particle Filtering Methods: 54 (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)

Digital Signal Processing with Examples in MATLAB (Electrical Engineering & Applied Signal Processing Series)

Wiley-IEEE Press Model-Based Signal Processing Book

Digital Processing of Signals: Theory and Practice

Signal Processing in Telecommunications: Proceedings of the 7th International Thyrrhenian Workshop on Digital Communications Viareggio, Italy, ... Transmission, Processing and Storage)

Multirate Statistical Signal Processing (Signals and Communication Technology)

Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics