Sparse Adaptive Filters for Echo Cancellation

Sparse Adaptive Filters for Echo Cancellation PDF Author: Constantin Paleologu
Publisher: Springer Nature
ISBN: 3031025598
Category : Technology & Engineering
Languages : en
Pages : 114

Book Description
Adaptive filters with a large number of coefficients are usually involved in both network and acoustic echo cancellation. Consequently, it is important to improve the convergence rate and tracking of the conventional algorithms used for these applications. This can be achieved by exploiting the sparseness character of the echo paths. Identification of sparse impulse responses was addressed mainly in the last decade with the development of the so-called ``proportionate''-type algorithms. The goal of this book is to present the most important sparse adaptive filters developed for echo cancellation. Besides a comprehensive review of the basic proportionate-type algorithms, we also present some of the latest developments in the field and propose some new solutions for further performance improvement, e.g., variable step-size versions and novel proportionate-type affine projection algorithms. An experimental study is also provided in order to compare many sparse adaptive filters in different echo cancellation scenarios. Table of Contents: Introduction / Sparseness Measures / Performance Measures / Wiener and Basic Adaptive Filters / Basic Proportionate-Type NLMS Adaptive Filters / The Exponentiated Gradient Algorithms / The Mu-Law PNLMS and Other PNLMS-Type Algorithms / Variable Step-Size PNLMS Algorithms / Proportionate Affine Projection Algorithms / Experimental Study

On the Partial Haar Dual Adaptive Filter for Sparse Echo Cancellation

On the Partial Haar Dual Adaptive Filter for Sparse Echo Cancellation PDF Author: Patrick Kechichian
Publisher:
ISBN:
Category :
Languages : en
Pages : 105

Book Description
"The focus of this thesis is twofold. First, it analyzes the partial Haar echo canceller and attempts to clarify some issues with its implementation. Second and foremost, it, identifies and proposes feasible solutions to three inherent weaknesses of the coupled echo canceller. These include alleviating the adverse effect caused by the shift-variant property of wavelets, improving the tracking performance of the coupled echo canceller in response to abrupt changes in the echo path impulse response, and extending the original echo canceller to support the cancellation of multiple echoes. Simulations support the resulting improvements when each of the proposed solutions is incorporated into the coupled echo canceller." --

Topics in Acoustic Echo and Noise Control

Topics in Acoustic Echo and Noise Control PDF Author: Eberhard Hänsler
Publisher: Springer Science & Business Media
ISBN: 3540332138
Category : Technology & Engineering
Languages : en
Pages : 648

Book Description
This book treats important topics in "Acoustic Echo and Noise Control" and reports the latest developments. Methods for enhancing the quality of transmitted speech signals are gaining growing attention in universities and in industrial development laboratories. This book, written by an international team of highly qualified experts, concentrates on the modern and advanced methods.

Echo Cancellation Using Sparse Tap Adaptive Fir Filter

Echo Cancellation Using Sparse Tap Adaptive Fir Filter PDF Author: Madan M. Bijili
Publisher:
ISBN:
Category :
Languages : en
Pages : 122

Book Description


Acoustic Echo and Noise Control

Acoustic Echo and Noise Control PDF Author: Eberhard Hänsler
Publisher: John Wiley & Sons
ISBN: 0471678392
Category : Science
Languages : en
Pages : 474

Book Description
Authors are well known and highly recognized by the "acoustic echo and noise community." Presents a detailed description of practical methods to control echo and noise Develops a statistical theory for optimal control parameters and presents practical estimation and approximation methods

Adaptive Filtering

Adaptive Filtering PDF Author: Lino Garcia Morales
Publisher: BoD – Books on Demand
ISBN: 9533071583
Category : Computers
Languages : en
Pages : 414

Book Description
Adaptive filtering is useful in any application where the signals or the modeled system vary over time. The configuration of the system and, in particular, the position where the adaptive processor is placed generate different areas or application fields such as prediction, system identification and modeling, equalization, cancellation of interference, etc., which are very important in many disciplines such as control systems, communications, signal processing, acoustics, voice, sound and image, etc. The book consists of noise and echo cancellation, medical applications, communications systems and others hardly joined by their heterogeneity. Each application is a case study with rigor that shows weakness/strength of the method used, assesses its suitability and suggests new forms and areas of use. The problems are becoming increasingly complex and applications must be adapted to solve them. The adaptive filters have proven to be useful in these environments of multiple input/output, variant-time behaviors, and long and complex transfer functions effectively, but fundamentally they still have to evolve. This book is a demonstration of this and a small illustration of everything that is to come.

Compressed Sensing & Sparse Filtering

Compressed Sensing & Sparse Filtering PDF Author: Avishy Y. Carmi
Publisher: Springer Science & Business Media
ISBN: 364238398X
Category : Technology & Engineering
Languages : en
Pages : 505

Book Description
This book is aimed at presenting concepts, methods and algorithms ableto cope with undersampled and limited data. One such trend that recently gained popularity and to some extent revolutionised signal processing is compressed sensing. Compressed sensing builds upon the observation that many signals in nature are nearly sparse (or compressible, as they are normally referred to) in some domain, and consequently they can be reconstructed to within high accuracy from far fewer observations than traditionally held to be necessary. Apart from compressed sensing this book contains other related approaches. Each methodology has its own formalities for dealing with such problems. As an example, in the Bayesian approach, sparseness promoting priors such as Laplace and Cauchy are normally used for penalising improbable model variables, thus promoting low complexity solutions. Compressed sensing techniques and homotopy-type solutions, such as the LASSO, utilise l1-norm penalties for obtaining sparse solutions using fewer observations than conventionally needed. The book emphasizes on the role of sparsity as a machinery for promoting low complexity representations and likewise its connections to variable selection and dimensionality reduction in various engineering problems. This book is intended for researchers, academics and practitioners with interest in various aspects and applications of sparse signal processing.

Adaptive Filtering Applications

Adaptive Filtering Applications PDF Author: Lino Garcia Morales
Publisher: BoD – Books on Demand
ISBN: 9533073063
Category : Technology & Engineering
Languages : en
Pages : 414

Book Description
Adaptive filtering is useful in any application where the signals or the modeled system vary over time. The configuration of the system and, in particular, the position where the adaptive processor is placed generate different areas or application fields such as: prediction, system identification and modeling, equalization, cancellation of interference, etc. which are very important in many disciplines such as control systems, communications, signal processing, acoustics, voice, sound and image, etc. The book consists of noise and echo cancellation, medical applications, communications systems and others hardly joined by their heterogeneity. Each application is a case study with rigor that shows weakness/strength of the method used, assesses its suitability and suggests new forms and areas of use. The problems are becoming increasingly complex and applications must be adapted to solve them. The adaptive filters have proven to be useful in these environments of multiple input/output, variant-time behaviors, and long and complex transfer functions effectively, but fundamentally they still have to evolve. This book is a demonstration of this and a small illustration of everything that is to come.

Online Learning and Adaptive Filters

Online Learning and Adaptive Filters PDF Author: Paulo S. R. Diniz
Publisher: Cambridge University Press
ISBN: 1108842127
Category : Computers
Languages : en
Pages : 269

Book Description
Discover up-to-date techniques and algorithms in this concise, intuitive text, with extensive solutions for challenging learning problems.

Future Access Enablers for Ubiquitous and Intelligent Infrastructures

Future Access Enablers for Ubiquitous and Intelligent Infrastructures PDF Author: Octavian Fratu
Publisher: Springer
ISBN: 3319922130
Category : Computers
Languages : en
Pages : 262

Book Description
This book constitutes the refereed post-conference proceedings of the Third International Conference on Future Access Enablers for Ubiquitous and Intelligent Infrastructures, FABULOUS 2017, held in Bucharest, Romania, in October 2017. The 37 revised full papers were carefully reviewed and selected from 61 submissions. The main topics deal with future access networks, Internet of Things and smart city/smart environment applications, communications and computing infrastructures, security aspects in communication and data processing, signal processing and multimedia.