Modeling, Estimation and Optimal Filtration in Signal Processing PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Modeling, Estimation and Optimal Filtration in Signal Processing PDF full book. Access full book title Modeling, Estimation and Optimal Filtration in Signal Processing by Mohamed Najim. Download full books in PDF and EPUB format.
Author: Mohamed Najim
Publisher: John Wiley & Sons
ISBN: 0470393688
Category : Technology & Engineering
Languages : en
Pages : 410
Get Book Here
Book Description
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.
Author: Mohamed Najim
Publisher: John Wiley & Sons
ISBN: 0470393688
Category : Technology & Engineering
Languages : en
Pages : 410
Get Book Here
Book Description
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.
Author: Brian D. O. Anderson
Publisher: Courier Corporation
ISBN: 0486136892
Category : Science
Languages : en
Pages : 370
Get Book Here
Book Description
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.
Author: Sophocles J. Orfanidis
Publisher:
ISBN: 9780071008341
Category : Signal processing
Languages : en
Pages : 590
Get Book Here
Book Description
Author: Monson H. Hayes
Publisher: John Wiley & Sons
ISBN: 0471594318
Category : Technology & Engineering
Languages : en
Pages : 629
Get Book Here
Book Description
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.
Author: Simo Särkkä
Publisher: Cambridge University Press
ISBN: 110703065X
Category : Computers
Languages : en
Pages : 255
Get Book Here
Book Description
A unified Bayesian treatment of the state-of-the-art filtering, smoothing, and parameter estimation algorithms for non-linear state space models.
Author: Maurice Charbit
Publisher: John Wiley & Sons
ISBN: 1786301261
Category : Technology & Engineering
Languages : en
Pages : 309
Get Book Here
Book Description
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.
Author: Chao Li
Publisher: John Wiley & Sons
ISBN: 1119467144
Category : Technology & Engineering
Languages : en
Pages : 120
Get Book Here
Book Description
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.
Author: Séverine Dubuisson
Publisher: John Wiley & Sons
ISBN: 1119054052
Category : Technology & Engineering
Languages : en
Pages : 222
Get Book Here
Book Description
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.
Author: Gérard Favier
Publisher: John Wiley & Sons
ISBN: 1786301555
Category : Technology & Engineering
Languages : en
Pages : 386
Get Book Here
Book Description
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.
Author: Gérard Blanchet
Publisher: John Wiley & Sons
ISBN: 1848216416
Category : Technology & Engineering
Languages : en
Pages : 276
Get Book Here
Book Description
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.
