Download or read book Active Noise Control Using Adaptive Filter Approaches written by Mohd. Hazrin Mohd. Dalhal and published by . This book was released on 2002 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Fundamentals of Signals and Systems Using MATLAB written by Edward W. Kamen and published by Macmillan College. This book was released on 1997 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text presents an accessible yet comprehensive analytical treatment of signals and systems, and also incorporates a strong emphasis on solving problems and exploring concepts using MATLAB
Download or read book Adaptive Filtering written by Lino Garcia Morales and published by BoD – Books on Demand. This book was released on 2013-02-20 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive filtering can be used to characterize unknown systems in time-variant environments. The main objective of this approach is to meet a difficult comprise: maximum convergence speed with maximum accuracy. Each application requires a certain approach which determines the filter structure, the cost function to minimize the estimation error, the adaptive algorithm, and other parameters; and each selection involves certain cost in computational terms, that in any case should consume less time than the time required by the application working in real-time. Theory and application are not, therefore, isolated entities but an imbricated whole that requires a holistic vision. This book collects some theoretical approaches and practical applications in different areas that support expanding of adaptive systems.
Download or read book Active Noise Cancellation Using Selective Adaptive Filtering written by Oveal Walker and published by . This book was released on 2006 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligibility of speech and other audio in various acoustic environments can be very low based on the level of noise present in that space. Often in order to compensate for the noise in acoustic environments a passive approach is taken, in which sound absorption and isolation techniques are implemented throughout the physical space. Although this passive approach can provide suitable levels of noise reduction for a reasonable range of frequencies, several active noise control approaches are proven to be more effective, especially at frequencies below 500 Hz. Active Noise Control utilizes adaptive filtering algorithms to achieve significant noise attenuation of lower frequency noise that significantly degrades the desired audio signal. The level of effectiveness of various adaptive filtering algorithms can determine the overall noise attenuation and the rate at which the system attenuates the noise in the given space. Noise source location, level, and resonant space may dictate the amount of degradation caused on the input signal. Some acoustic spaces in which Active Noise Cancellation (ANC) headsets are used causes increasing resonance and inconsistent changes in noise power and amplitude. Special consideration of these signal characteristics are used to determine the stationary level of the noise signal, which is an ideal measure for determination of an adaptive filtering algorithm. Most Active Noise Control systems currently utilize only versions of the Least Mean Square adaptive filtering algorithm. This research will focus on a selective algorithm that will utilize descriptors to identify differences in the noise signal, and determine an optimal algorithm to be used for the filtering of distinct portions of the signal that are identified. The Recursive Least Squares adaptive algorithm will be used as the primary means of filtering due to its fast rate of convergence and tracking performance. A selective switching mechanism will be used to insure the Least Mean Squares algorithm is initiated only when signal conditions dictate effective noise control can be performed using this algorithm. Several different noise source environments are tested in order to attain the best active noise control solution to be used.
Download or read book Adaptive Filtering Applications written by Lino Garcia Morales and published by BoD – Books on Demand. This book was released on 2011-07-05 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Adaptive Filters written by Behrouz Farhang-Boroujeny and published by John Wiley & Sons. This book was released on 2013-04-02 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition of Adaptive Filters: Theory and Applications has been updated throughout to reflect the latest developments in this field; notably an increased coverage given to the practical applications of the theory to illustrate the much broader range of adaptive filters applications developed in recent years. The book offers an easy to understand approach to the theory and application of adaptive filters by clearly illustrating how the theory explained in the early chapters of the book is modified for the various applications discussed in detail in later chapters. This integrated approach makes the book a valuable resource for graduate students; and the inclusion of more advanced applications including antenna arrays and wireless communications makes it a suitable technical reference for engineers, practitioners and researchers. Key features: • Offers a thorough treatment of the theory of adaptive signal processing; incorporating new material on transform domain, frequency domain, subband adaptive filters, acoustic echo cancellation and active noise control. • Provides an in-depth study of applications which now includes extensive coverage of OFDM, MIMO and smart antennas. • Contains exercises and computer simulation problems at the end of each chapter. • Includes a new companion website hosting MATLAB® simulation programs which complement the theoretical analyses, enabling the reader to gain an in-depth understanding of the behaviours and properties of the various adaptive algorithms.
Download or read book Active Noise Control Using Adaptive Filtering written by Ram M. Vemuri and published by . This book was released on 1989 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Application of Adaptive Noise Cancellation to Coast Guard Voice Communications written by B. B. Peterson and published by . This book was released on 1985 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: A variety of approaches to the digital filtering of voice signals corrupted by background engine noise are presented. These approaches include the standard Least Mean Square adaptive noise cancellation algorithm, an optimum fixed weight filter, a special type of notch filter and frequency domain adaptive noise cancellation. The filters have been implemented both off-line using FORTRAN programs on an LSI-11/2 microcomputer, and in real time using thee Texas Instruments TMS 320 microprocessor and in PDP-11 assembly language using an LSI-11/2. Frequency domain adaptive filtering was seen to be superior to the LMS time domain algorithm because its much greater computational efficiency allowed the analysis of much longer filters. A digital filter that exploits the engine noise by having a notch at each harmonic was seen to be more effective than any of the adaptive filters. The digital filter equations are derived, starting with a particular periodic reference input. This adaptive filter is shown to be, in reality, an infinite impulse response, time invariant filter. (Author).
Download or read book Active Noise Control written by Su-u Hwang and published by . This book was released on 1991 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Efficient Nonlinear Adaptive Filters written by Haiquan Zhao and published by Springer Nature. This book was released on 2023-02-10 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the design, analysis, and application of nonlinear adaptive filters with the goal of improving efficient performance (ie the convergence speed, steady-state error, and computational complexity). The authors present a nonlinear adaptive filter, which is an important part of nonlinear system and digital signal processing and can be applied to diverse fields such as communications, control power system, radar sonar, etc. The authors also present an efficient nonlinear filter model and robust adaptive filtering algorithm based on the local cost function of optimal criterion to overcome non-Gaussian noise interference. The authors show how these achievements provide new theories and methods for robust adaptive filtering of nonlinear and non-Gaussian systems. The book is written for the scientist and engineer who are not necessarily an expert in the specific nonlinear filtering field but who want to learn about the current research and application. The book is also written to accompany a graduate/PhD course in the area of nonlinear system and adaptive signal processing.
Download or read book Subband Adaptive Filtering written by Kong-Aik Lee and published by John Wiley & Sons. This book was released on 2009-07-06 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Subband adaptive filtering is rapidly becoming one of the most effective techniques for reducing computational complexity and improving the convergence rate of algorithms in adaptive signal processing applications. This book provides an introductory, yet extensive guide on the theory of various subband adaptive filtering techniques. For beginners, the authors discuss the basic principles that underlie the design and implementation of subband adaptive filters. For advanced readers, a comprehensive coverage of recent developments, such as multiband tap–weight adaptation, delayless architectures, and filter–bank design methods for reducing band–edge effects are included. Several analysis techniques and complexity evaluation are also introduced in this book to provide better understanding of subband adaptive filtering. This book bridges the gaps between the mixed–domain natures of subband adaptive filtering techniques and provides enough depth to the material augmented by many MATLAB® functions and examples. Key Features: Acts as a timely introduction for researchers, graduate students and engineers who want to design and deploy subband adaptive filters in their research and applications. Bridges the gaps between two distinct domains: adaptive filter theory and multirate signal processing. Uses a practical approach through MATLAB®-based source programs on the accompanying CD. Includes more than 100 M-files, allowing readers to modify the code for different algorithms and applications and to gain more insight into the theory and concepts of subband adaptive filters. Subband Adaptive Filtering is aimed primarily at practicing engineers, as well as senior undergraduate and graduate students. It will also be of interest to researchers, technical managers, and computer scientists.
Download or read book Adaptive Signal Processing written by Tülay Adali and published by John Wiley & Sons. This book was released on 2010-06-25 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leading experts present the latest research results in adaptive signal processing Recent developments in signal processing have made it clear that significant performance gains can be achieved beyond those achievable using standard adaptive filtering approaches. Adaptive Signal Processing presents the next generation of algorithms that will produce these desired results, with an emphasis on important applications and theoretical advancements. This highly unique resource brings together leading authorities in the field writing on the key topics of significance, each at the cutting edge of its own area of specialty. It begins by addressing the problem of optimization in the complex domain, fully developing a framework that enables taking full advantage of the power of complex-valued processing. Then, the challenges of multichannel processing of complex-valued signals are explored. This comprehensive volume goes on to cover Turbo processing, tracking in the subspace domain, nonlinear sequential state estimation, and speech-bandwidth extension. Examines the seven most important topics in adaptive filtering that will define the next-generation adaptive filtering solutions Introduces the powerful adaptive signal processing methods developed within the last ten years to account for the characteristics of real-life data: non-Gaussianity, non-circularity, non-stationarity, and non-linearity Features self-contained chapters, numerous examples to clarify concepts, and end-of-chapter problems to reinforce understanding of the material Contains contributions from acknowledged leaders in the field Adaptive Signal Processing is an invaluable tool for graduate students, researchers, and practitioners working in the areas of signal processing, communications, controls, radar, sonar, and biomedical engineering.
Download or read book Active Control of Sound written by P. A. Nelson and published by . This book was released on 1993 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes modern techniques for reducing the level of airborne noise through the introduction of sound radiated by additional secondary sources, bringing together the results of contemporary research in this area. It is the combination of the physical properties of sound fields and modern digital signal processing technology that has made the active control of sound a practical proposition in a number of important applications. The book covers both these aspects of the subject, initially at a fundamental level, and then in detail in later chapters. The structure of the book is such that it should be suitable for both those seeking a basic understanding of the subject and as a reference for researchers in the field. A key feature of the work is the unified presentation of material from the two disciplines of acoustics and signal processing.
Download or read book Noise Reduction in Speech Applications written by Gillian M. Davis and published by CRC Press. This book was released on 2018-10-03 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Noise and distortion that degrade the quality of speech signals can come from any number of sources. The technology and techniques for dealing with noise are almost as numerous, but it is only recently, with the development of inexpensive digital signal processing hardware, that the implementation of the technology has become practical. Noise Reduction in Speech Applications provides a comprehensive introduction to modern techniques for removing or reducing background noise from a range of speech-related applications. Self-contained, it starts with a tutorial-style chapter of background material, then focuses on system aspects, digital algorithms, and implementation. The final section explores a variety of applications and demonstrates to potential users of the technology the results possible with the noise reduction techniques presented. The book offers chapters contributed by international experts, a practical, systems approach, and numerous references. For electrical, acoustics, signal processing, communications, and bioengineers, Noise Reduction in Speech Applications is a valuable resource that shows you how to decide whether noise reduction will solve problems in your own systems and how to make the best use of the technologies available.
Download or read book Adaptive Filter Algorithms with an Emphasis on Power Constrained Operation in Active Noise Control Applications written by Walter J. Kozacky and published by . This book was released on 2013 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An Evaluation of Current Adaptive Active Duct Noise Control Algorithms written by Michael David Lucey and published by . This book was released on 1996 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Adaptive Filtering Through Digital Signal Processing for Active Noise Cancellation written by Michael Rocci and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In environments with ambient noise such as air-conditioning systems and engines, exposure to high decibels of sound for an extended period of time can prove distracting during communication and damaging to humans both physically and psychologically. Active noise cancellation (ANC) is a method used to reduce undesired noise. This thesis details the programming of digital signal processing (DSP) techniques used to filter out unwanted sound. The purpose of the explanation and simulation of the Filtered-X LMS FIR adaptive filter in MATLAB is to demonstrate active noise cancellation in software. This background research of algorithms and code development will be used for the eventual integration with a DSP processor or microcontroller that allows for the augmentation of a standard pair of Sennheiser PX100-II headphones, that do not provide noise isolation or cancellation, into headphones that can cancel unwanted noise. The headphones will then be used with an Amateur Ham Radio in an environment with unwanted, high decibel sound. This thesis supports the proof of concept through software simulation and a report of different methods of hardware integration. The research and development of digital signal processing techniques and hardware integration will lead to the augmentation of a pair of headphones used for communication in a noisy environment.
