Modeling, Estimation and Optimal Filtration in Signal Processing

Modeling, Estimation and Optimal Filtration in Signal Processing
Author: Mohamed Najim
Publisher: John Wiley & Sons
Total Pages: 410
Release: 2010-01-05
Genre: Technology & Engineering
ISBN: 0470393688

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 addressed. Secondly, estimation approaches based on least squares methods and instrumental variable techniques are presented. Finally, the book deals with optimal filters, i.e. Wiener and Kalman filtering, and adaptive filters such as the RLS, the LMS and their variants.

Optimal Filtering

Optimal Filtering
Author: Brian D. O. Anderson
Publisher: Courier Corporation
Total Pages: 370
Release: 2012-05-23
Genre: Science
ISBN: 0486136892

Graduate-level text extends studies of signal processing, particularly regarding communication systems and digital filtering theory. Topics include filtering, linear systems, and estimation; discrete-time Kalman filter; time-invariant filters; more. 1979 edition.

Statistical Digital Signal Processing and Modeling

Statistical Digital Signal Processing and Modeling
Author: Monson H. Hayes
Publisher: John Wiley & Sons
Total Pages: 629
Release: 1996-04-19
Genre: Technology & Engineering
ISBN: 0471594318

The main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal processing such as Wiener filters, power spectrum estimation, signal modeling and adaptive filtering. Scores of worked examples illustrate fine points, compare techniques and algorithms and facilitate comprehension of fundamental concepts. Also features an abundance of interesting and challenging problems at the end of every chapter.

Bayesian Filtering and Smoothing

Bayesian Filtering and Smoothing
Author: Simo Särkkä
Publisher: Cambridge University Press
Total Pages: 255
Release: 2013-09-05
Genre: Computers
ISBN: 110703065X

A unified Bayesian treatment of the state-of-the-art filtering, smoothing, and parameter estimation algorithms for non-linear state space models.

Digital Signal Processing (DSP) with Python Programming

Digital Signal Processing (DSP) with Python Programming
Author: Maurice Charbit
Publisher: John Wiley & Sons
Total Pages: 309
Release: 2017-02-13
Genre: Technology & Engineering
ISBN: 1786301261

The parameter estimation and hypothesis testing are the basic tools in statistical inference. These techniques occur in many applications of data processing., and methods of Monte Carlo have become an essential tool to assess performance. For pedagogical purposes the book includes several computational problems and exercices. To prevent students from getting stuck on exercises, detailed corrections are provided.

Architecture-Aware Optimization Strategies in Real-time Image Processing

Architecture-Aware Optimization Strategies in Real-time Image Processing
Author: Chao Li
Publisher: John Wiley & Sons
Total Pages: 120
Release: 2017-10-30
Genre: Technology & Engineering
ISBN: 1119467144

In the field of image processing, many applications require real-time execution, particularly those in the domains of medicine, robotics and transmission, to name but a few. Recent technological developments have allowed for the integration of more complex algorithms with large data volume into embedded systems, in turn producing a series of new sophisticated electronic architectures at affordable prices. This book performs an in-depth survey on this topic. It is primarily written for those who are familiar with the basics of image processing and want to implement the target processing design using different electronic platforms for computing acceleration. The authors present techniques and approaches, step by step, through illustrative examples. This book is also suitable for electronics/embedded systems engineers who want to consider image processing applications as sufficient imaging algorithm details are given to facilitate their understanding.

Tracking with Particle Filter for High-dimensional Observation and State Spaces

Tracking with Particle Filter for High-dimensional Observation and State Spaces
Author: Séverine Dubuisson
Publisher: John Wiley & Sons
Total Pages: 222
Release: 2015-01-05
Genre: Technology & Engineering
ISBN: 1119054052

This title concerns the use of a particle filter framework to track objects defined in high-dimensional state-spaces using high-dimensional observation spaces. Current tracking applications require us to consider complex models for objects (articulated objects, multiple objects, multiple fragments, etc.) as well as multiple kinds of information (multiple cameras, multiple modalities, etc.). This book presents some recent research that considers the main bottleneck of particle filtering frameworks (high dimensional state spaces) for tracking in such difficult conditions.

Matrix and Tensor Decompositions in Signal Processing, Volume 2

Matrix and Tensor Decompositions in Signal Processing, Volume 2
Author: Gérard Favier
Publisher: John Wiley & Sons
Total Pages: 386
Release: 2021-08-31
Genre: Technology & Engineering
ISBN: 1786301555

The second volume will deal with a presentation of the main matrix and tensor decompositions and their properties of uniqueness, as well as very useful tensor networks for the analysis of massive data. Parametric estimation algorithms will be presented for the identification of the main tensor decompositions. After a brief historical review of the compressed sampling methods, an overview of the main methods of retrieving matrices and tensors with missing data will be performed under the low rank hypothesis. Illustrative examples will be provided.

Digital Signal and Image Processing using MATLAB, Volume 2

Digital Signal and Image Processing using MATLAB, Volume 2
Author: Gérard Blanchet
Publisher: John Wiley & Sons
Total Pages: 276
Release: 2015-02-16
Genre: Technology & Engineering
ISBN: 1848216416

The most important theoretical aspects of Image and Signal Processing (ISP) for both deterministic and random signals, the theory being supported by exercises and computer simulations relating to real applications. More than 200 programs and functions are provided in the MATLAB® language, with useful comments and guidance, to enable numerical experiments to be carried out, thus allowing readers to develop a deeper understanding of both the theoretical and practical aspects of this subject. Following on from the first volume, this second installation takes a more practical stance, providing readers with the applications of ISP.