Download or read book A Family of Threshold Based Robust Adaptive Algorithms for Active Impulsive Noise Control written by and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Robust Adaptive Algorithms for Active Noise Control written by Hui Lan and published by . This book was released on 2002 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Active Control of Impact Acoustic Noise written by Guohua Sun and published by . This book was released on 2013 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Active noise control (ANC) has drawn widespread research interest in both academia and industry during the last two decades, especially in the automotive industry where better vehicle noise, vibration and harshness (NVH) performance is one of the important concerns for vehicle manufacturers. However, most of the current state-of-the-art ANC systems are mainly focused on stationary noises by following Gaussian distribution, and there is limited research work on ANC of impulsive and/or impact noise. In practice, there are many unwanted impact responses at industrial sites and in motor vehicles, such as noise generated by punching machines, combustion engines and pile drivers as well as impact road noise due to road bumps. This type of noise may pose a difficult challenge for the prevalent adaptive control algorithms, namely the filtered-x least mean square (FXLMS) algorithm. Hence, more in-depth understanding is required to design an ANC system with robust and efficient adaptive algorithms for treating impact acoustic noise. The first part of the dissertation concentrates on the development of more robust adaptive algorithms for generic impulsive noise. First, an enhanced modified filtered-x least mean M-estimate algorithm (MFXLMM) is proposed to tackle the impulsive-type noise, where the reference signal is fed through the Hampel's three-part M-estimator by setting thresholds for impulses. Second, a family of enhanced M-estimator based algorithms is proposed, where different types of robust criteria based on robust statistic theory are applied for non-Gaussian impulsive noise. This family of algorithms generalizes all the existing studies by previous researchers. Third, more specific observations are made for the convergence performance of the modified FXLMS algorithm for impact noise, where thresholds in the reference and error signal paths are added. This analysis is to address the underlying mechanism of the enhanced algorithm for impact noise due to the white noise and impulses with different durations. The second part of the dissertation is on impact noise with certain repetitiveness. First, a specific analytical convergence analysis of the FXLMS algorithm for repetitive impulse-induced noise is developed, where pure delay secondary path models are assumed. A step size bound is obtained which is in agreement with the previous studies. Moreover, a general secondary model is considered in the numerical simulations to further demonstrate the feasibility of applying the FXLMS algorithm for repetitive impact noise. Second, comparative experimental and simulation work are conducted to further validate the performance of FXLMS algorithm for repetitive impact noise. The feedback system with the iterative learning control (ILC) algorithm is also designed to compare with the FXLMS algorithm. Finally, a concluding work is performed to apply the enhanced FXLMS algorithm to impact road noise control. A frequency response function (FRF)-based sub-structuring technique is implemented to develop a coupled vehicle system model, where the passenger compartment is simplified as a 3-dimensional flexible-panel backed cavity model and the tire-wheel system is modeled as a flexible ring element and rigid wheel. Numerical simulations are conducted to validate the effectiveness of the proposed ANC system for interior impact road noise.

Download or read book Adaptive Filtering Under Minimum Mean p Power Error Criterion written by Wentao Ma and published by CRC Press. This book was released on 2024-05-31 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive filtering still receives attention in engineering as the use of the adaptive filter provides improved performance over the use of a fixed filter under the time-varying and unknown statistics environments. This application evolved communications, signal processing, seismology, mechanical design, and control engineering. The most popular optimization criterion in adaptive filtering is the well-known minimum mean square error (MMSE) criterion, which is, however, only optimal when the signals involved are Gaussian-distributed. Therefore, many "optimal solutions" under MMSE are not optimal. As an extension of the traditional MMSE, the minimum mean p-power error (MMPE) criterion has shown superior performance in many applications of adaptive filtering. This book aims to provide a comprehensive introduction of the MMPE and related adaptive filtering algorithms, which will become an important reference for researchers and practitioners in this application area. The book is geared to senior undergraduates with a basic understanding of linear algebra and statistics, graduate students, or practitioners with experience in adaptive signal processing. Key Features: Provides a systematic description of the MMPE criterion. Many adaptive filtering algorithms under MMPE, including linear and nonlinear filters, will be introduced. Extensive illustrative examples are included to demonstrate the results.

Download or read book Active Control of Impulsive Noise with Symmetric stable Distribution Based on an Improved Step size Normalized Adaptive Algorithm written by and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Adaptive Algorithms for Active Noise Control written by Angela Kuo Wang and published by . This book was released on 1996 with total page 258 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 Single and Multiple Channel Block Adaptive Algorithms for Active Noise Control written by Qun Shen and published by . This book was released on 1992 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Microgrid Operation Control Monitoring and Protection written by Papia Ray and published by Springer Nature. This book was released on 2020-01-24 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses various challenges and solutions in the fields of operation, control, design, monitoring and protection of microgrids, and facilitates the integration of renewable energy and distribution systems through localization of generation, storage and consumption. It covers five major topics relating to microgrid i.e., operation, control, design, monitoring and protection. The book is primarily intended for electric power and control engineering researchers who are seeking factual information, but also appeals to professionals from other engineering disciplines wanting an overview of the entire field or specific information on one aspect of it. Featuring practical case studies and demonstrating different root causes of large power failures, it helps readers develop new concepts for mitigating blackout issues. This book is a comprehensive reference resource for graduate and postgraduate students, academic researchers, and practicing engineers working in the fields of power system and microgrid.

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 Fundamentals of Adaptive Filtering written by Ali H. Sayed and published by John Wiley & Sons. This book was released on 2003-06-13 with total page 1178 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is based on a graduate level course offered by the author at UCLA and has been classed tested there and at other universities over a number of years. This will be the most comprehensive book on the market today providing instructors a wide choice in designing their courses. * Offers computer problems to illustrate real life applications for students and professionals alike * An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

Download or read book Advanced Signal Processing and Digital Noise Reduction written by Saeed V. Vaseghi and published by Vieweg+Teubner Verlag. This book was released on 1996-05 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian Estimation and classification. Hidden markov models. Wiener filters. Kalman and adaptive least squared error filters.

Download or read book Feedback Systems written by Karl Johan Åström and published by Princeton University Press. This book was released on 2021-02-02 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The essential introduction to the principles and applications of feedback systems—now fully revised and expanded This textbook covers the mathematics needed to model, analyze, and design feedback systems. Now more user-friendly than ever, this revised and expanded edition of Feedback Systems is a one-volume resource for students and researchers in mathematics and engineering. It has applications across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl Åström and Richard Murray use techniques from physics, computer science, and operations research to introduce control-oriented modeling. They begin with state space tools for analysis and design, including stability of solutions, Lyapunov functions, reachability, state feedback observability, and estimators. The matrix exponential plays a central role in the analysis of linear control systems, allowing a concise development of many of the key concepts for this class of models. Åström and Murray then develop and explain tools in the frequency domain, including transfer functions, Nyquist analysis, PID control, frequency domain design, and robustness. Features a new chapter on design principles and tools, illustrating the types of problems that can be solved using feedback Includes a new chapter on fundamental limits and new material on the Routh-Hurwitz criterion and root locus plots Provides exercises at the end of every chapter Comes with an electronic solutions manual An ideal textbook for undergraduate and graduate students Indispensable for researchers seeking a self-contained resource on control theory

Download or read book Model Based Fault Diagnosis Techniques written by Steven X. Ding and published by Springer Science & Business Media. This book was released on 2012-12-20 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: Guaranteeing a high system performance over a wide operating range is an important issue surrounding the design of automatic control systems with successively increasing complexity. As a key technology in the search for a solution, advanced fault detection and identification (FDI) is receiving considerable attention. This book introduces basic model-based FDI schemes, advanced analysis and design algorithms, and mathematical and control-theoretic tools. This second edition of Model-Based Fault Diagnosis Techniques contains: • new material on fault isolation and identification and alarm management; • extended and revised treatment of systematic threshold determination for systems with both deterministic unknown inputs and stochastic noises; • addition of the continuously-stirred tank heater as a representative process-industrial benchmark; and • enhanced discussion of residual evaluation which now deals with stochastic processes. Model-based Fault Diagnosis Techniques will interest academic researchers working in fault identification and diagnosis and as a text it is suitable for graduate students in a formal university-based course or as a self-study aid for practising engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.

Download or read book Photoplethysmography written by Panicos A. Kyriacou and published by Academic Press. This book was released on 2021-11-03 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Photoplethysmography: Technology, Signal Analysis, and Applications is the first comprehensive volume on the theory, principles, and technology (sensors and electronics) of photoplethysmography (PPG). It provides a detailed description of the current state-of-the-art technologies/optical components enabling the extreme miniaturization of such sensors, as well as comprehensive coverage of PPG signal analysis techniques including machine learning and artificial intelligence. The book also outlines the huge range of PPG applications in healthcare, with a strong focus on the contribution of PPG in wearable sensors and PPG for cardiovascular assessment. Presents the underlying principles and technology surrounding PPG Includes applications for healthcare and wellbeing Focuses on PPG in wearable sensors and devices Presents advanced signal analysis techniques Includes cutting-edge research, applications and future directions

Download or read book Partitioned convolution algorithms for real time auralization written by Frank Wefers and published by Logos Verlag Berlin GmbH. This book was released on 2015-05-11 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work discusses methods for efficient audio processing with finite impulse response (FIR) filters. Such filters are widely used for high-quality acoustic signal processing, e.g. for headphone or loudspeaker equalization, in binaural synthesis, in spatial sound reproduction techniques and for the auralization of reverberant environments. This work focuses on real-time applications, where the audio processing is subject to minimal delays (latencies). Different fast convolution concepts (transform-based, interpolation-based and number-theoretic), which are used to implement FIR filters efficiently, are examined regarding their applicability in real-time. These fast, elementary techniques can be further improved by the concept of partitioned convolution. This work introduces a classification and a general framework for partitioned convolution algorithms and analyzes the algorithmic classes which are relevant for real-time filtering: Elementary concepts which do not partition the filter impulse response (e.g. regular Overlap-Add and Overlap-Save convolution) and advanced techniques, which partition filters uniformly and non-uniformly. The algorithms are thereby regarded in their analytic complexity, their performance on target hardware, the optimal choice of parameters, assemblies of multiple filters, multi-channel processing and the exchange of filter impulse responses without audible artifacts. Suitable convolution techniques are identified for different types of audio applications, ranging from resource-aware auralizations on mobile devices to extensive room acoustics audio rendering using dedicated multi-processor systems.

Download or read book Adaptive Control of Nonsmooth Dynamic Systems written by Gang Tao and published by Springer Science & Business Media. This book was released on 2001-09-26 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many of the non-smooth, non-linear phenomena covered in this well-balanced book are of vital importance in almost any field of engineering. Contributors from all over the world ensure that no one area’s slant on the subjects predominates.