A study on adaptive filtering for noise and echo cancellation.

The objective of this thesis is to investigate the adaptive filtering technique on the application of noise and echo cancellation. As a relatively new area in Digital Signal Processing (DSP), adaptive filters have gained a lot of popularity in the past several decades due to the advantages that they can deal with time-varying digital system and they do not require a priori knowledge of the statistics of the information to be processed. Adaptive filters have been successfully applied in a great many areas such as communications, speech processing, image processing, and noise/echo cancellation. Since Bernard Widrow and his colleagues introduced adaptive filter in the 1960s, many researchers have been working on noise/echo cancellation by using adaptive filters with different algorithms. Among these algorithms, normalized least mean square (NLMS) provides an efficient and robust approach, in which the model parameters are obtained on the base of mean square error (MSE). The choice of a structure for the adaptive filters also plays an important role on the performance of the algorithm as a whole. For this purpose, two different filter structures: finite impulse response (FIR) filter and infinite impulse response (IIR) filter have been studied. The adaptive processes with two kinds of filter structures and the aforementioned algorithm have been implemented and simulated using Matlab.Dept. of Electrical and Computer Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2005 .J53. Source: Masters Abstracts International, Volume: 44-01, page: 0472. Thesis (M.A.Sc.)--University of Windsor (Canada), 2005

Active disturbance cancellation in nonlinear dynamical systems using neural networks

A proposal for the use of a time delay CMAC neural network for disturbance cancellation in nonlinear dynamical systems is presented. Appropriate modifications to the CMAC training algorithm are derived which allow convergent adaptation for a variety of secondary signal paths. Analytical bounds on the maximum learning gain are presented which guarantee convergence of the algorithm and provide insight into the necessary reduction in learning gain as a function of the system parameters. Effectiveness of the algorithm is evaluated through mathematical analysis, simulation studies, and experimental application of the technique on an acoustic duct laboratory model

A Novel Method for Acoustic Noise Cancellation

Over the last several years Acoustic Noise Cancellation (ANC) has been an active area of research and various adaptive techniques have been implemented to achieve a better online acoustic noise cancellation scheme. Here we introduce the various adaptive techniques applied to ANC viz. the LMS algorithm, the Filtered-X LMS algorithm, the Filtered-S LMS algorithm and the Volterra Filtered-X LMS algorithm and try to understand their performance through various simulations. We then take up the problem of cancellation of external acoustic feedback in hearing aid. We provide three different models to achieve the feedback cancellation. These are - the adaptive FIR Filtered-X LMS, the adaptive IIR LMS and the adaptive IIR PSO models for external feedback cancellation. Finally we come up with a comparative study of the performance of these models based on the normalized mean square error minimization provided by each of these feedback cancellation schemes

Modified filtered-x hierarchical lms algorithm with sequential partial updates for active noise control

In the field of active noise control (ANC), a popular method is the modified filtered-x LMS algorithm. However, it has two drawbacks: Its computational complexity higher than that of the conventional FxLMS, and its convergence rate that could still be improved. Therefore, we propose an adaptive strategy which aims at speeding up the convergence rate of an ANC system dealing with periodic disturbances. This algorithm consists in combining the organization of the filter weights in a hierarchy of subfilters of shorter length and their sequential partial updates (PU). Our contribution is threefold: (1) we provide the theoretical basis of the existence of a frequency-depend-ent parameter, called gain in step-size. (2) The theoretical upper bound of the step-size is compared with the limit obtained from simulations. (3) Additional experiments show that this strategy results in a fast algorithm with a computational complexity close to that of the conventional FxLMS

Analysis and implementation of active noise control strategies using Piezo and EAP actuators

Currently noise cancellation, which affects the lives of people and in the workplace is achieved through the active noise reduction. This measure is not expensive as passive or semi active measures also permits adequate air conduction in duct ventilation systems. The system control is achieved through a suitable location of the phase in the cancelling noise signal relative to the signal primary noise. Algorithms have been developed and strategies for active noise reduction and its implementation and experimental testing on duct ventilation. The actives elements used are Piezo Actuators and EAP as speakers; Individual and collective operation of the aforementioned actuators is examined. The work was evaluated as follows: Analysis of previous research on existing algorithms for active noise reduction. Study the strategies of simulation and implementation for active noise control algorithms designed.Tesi

Use of an Least Mean Squares Filter in the Control of Optical Beam Jitter

The article of record as published may be found at http://dx.doi.org/10.2514/1.26778Meeting optical beam jitter requirements is becoming a challenging problem for several space programs. A laser beam jitter control test bed has been developed at the Naval Postgraduate School to develop improved jitter control techniques. Several control techniques, such as least means squares and linear–quadratic regulator were applied for jitter control. Enhancement in least means squares techniques to improve convergence rate was achieved by adding an adaptive biasfilter to the reference signal. In the experiments, the platform is vibrated at 50 and 87 Hz. In addition, a fast steering mirror is used to inject a random component of 200 Hz band-limited white noise. The experimental results demonstrated that the addition of the adaptive bias filter to the least means squares algorithm significantly increased the converging rate of the controller. To achieve the reduction of both sinusoidal and random jitter, a combination of least means squares/adaptive bias filter and linear–quadratic regulator is most effective. The least means squares/adaptive bias filter control is most effective for a sinusoidal jitter and the linear–quadratic regulator control for a random jitter

최적에 가까운 타이밍 적응을 위해 치우친 데이터 레벨과 눈 경사 디텍터를 사용한 최대 눈크기추적 클럭 및 데이터 복원회로 설계

학위논문 (박사) -- 서울대학교 대학원 : 공과대학 전기·정보공학부, 2021. 2. 정덕균.이 논문에서는 최소-비트 비트 에러율 (BER)에 대한 최대 눈크기 추적 CDR (MET-CDR)의 설계가 제안되었다. 제안 된 CDR 은 최적의 샘플링 단계를 찾기 위해 반복 절차를 가진 BER 카운터 또는 아이 모니터가 필 요하지 않다. 에러 샘플러 출력에 가중치를 두어 더하여 얻은 치우친 데 이터 레벨 (biased dLev) 은 사전 커서 ISI(pre-cursor ISI) 의 정보도 고려한 눈 높이 정보를 추출한다. 델타 T 만큼의 시간 차이를 둔 지점에서 작동 하는 두 샘플러는 현재 눈 높이와 눈 기울기의 극성을 감지하고, 이 정보 를 통해 제안하는 CDR 은 눈 기울기가 0 이되는 최대 눈 높이로 수렴한 다. 측정 결과는 최대 눈 높이와 최소 BER 의 샘플링 위치가 잘 일치 함 을 보여준다. 28nm CMOS 공정으로 구현된 수신기 칩은 23.5dB 의 채널 손실이 있는 상태에서 26Gb/s 에서 동작 가능하다. 0.25UI 의 아이 오프닝 을 가지며, 87mW 의 파워를 소비한다.In this thesis, design of a maximum-eye-tracking CDR (MET-CDR) for minimum bit error rate (BER) is proposed. The proposed CDR does not require a BER coun-ter or an eye-opening monitor with any iterative procedure to find the near-optimal sampling phase. The biased data-level obtained from the weighted sum of error sampler outputs, UP and DN, extracts the actual eye height information in the presence of pre-cursor ISI. Two samplers operating on two slightly different tim-ings detect the current eye height and the polarity of the eye slope so that the CDR tracks the maximum eye height where the slope becomes zero. Measured results show that the sampling phase of the maximum eye height and that of the mini-mum BER match well. A prototype receiver fabricated in 28 nm CMOS process operates at 26 Gb/s with an eye-opening of 0.25 UI and consumes 87 mW while equalizing 23.5 dB of loss at 13 GHz.ABSTRACT I CONTENTS II LIST OF FIGURES IV LIST OF TABLES VIII CHAPTER 1 INTRODUCTION 1 1.1 MOTIVATION 1 1.2 THESIS ORGANIZATION 4 CHAPTER 2 BACKGROUNDS 5 2.1 RECEIVER FRONT-END 5 2.1.1 CHANNEL 7 2.1.2 EQUALIZER 17 2.1.3 CDR 32 2.2 PRIOR ARTS ON CLOCK RECOVERY 39 2.2.1 BB-CDR 39 2.2.2 BER-BASED CDR 41 2.2.3 EOM-BASED CDR 44 2.3 CONCEPT OF THE PROPOSED CDR 47 CHAPTER 3 MAXIMUM-EYE-TRACKING CDR WITH BIASED DATA-LEVEL AND EYE SLOPE DETECTOR 49 3.1 OVERVIEW 49 3.2 DESIGN OF MET-CDR 50 3.2.1 EYE HEIGHT INFORMATION FROM BIASED DATA-LEVEL 50 3.2.2 EYE SLOPE DETECTOR AND ADAPTATION ALGORITHM 60 3.2.3 ARCHITECTURE AND IMPLEMENTATION 67 3.2.4 VERIFICATION OF THE ALGORITHM 71 3.2.5 ANALYSIS ON THE BIASED DATA-LEVEL 76 3.3 EXPANSION OF MET-CDR TO PAM4 SIGNALING 84 3.3.1 MET-CDR WITH PAM4 84 3.3.2 CONSIDERATIONS FOR PAM4 87 CHAPTER 4 MEASUREMENT RESULTS 89 CHAPTER 5 CONCLUSION 99 APPENDIX A MATLAB CODE FOR SIMULATING RECEIVER WITH MET-CDR 100 BIBLIOGRAPHY 105 초 록 113Docto