Proceedings ArticleDOI
Adaptive Noise Cancellation Algorithm for Speech Processing
Jiashu Zhang,Heng-Ming Tai +1 more
- pp 2489-2492
TLDR
Results demonstrate the superiority of the proposed NDLMS algorithm over conventional LMS algorithms in achieving much smaller steady-state excess mean square errors.Abstract:
LMS adaptive noise cancellers are often used to recover signal corrupted by additive noise. A major drawback of conventional LMS algorithms is that the excess mean-square errors increase linearly with the desired signal power. This results in degraded performance when the desired signal exhibits large power fluctuations. In this paper, a normalized difference LMS (NDLMS) algorithm is proposed to deal with the situation when the desired signal is strong, e.g., speech signals. Simulations were carried out using real speech signal with different noise power levels in both stationary and nonstationary noise environments. Results demonstrate the superiority of the proposed NDLMS algorithm over conventional LMS algorithms in achieving much smaller steady-state excess mean square errors.read more
Citations
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Journal ArticleDOI
Robust Variable Step-Size Decorrelation Normalized Least-Mean-Square Algorithm and its Application to Acoustic Echo Cancellation
TL;DR: Simulations show that the proposed RVSSDNLMS considerably outperforms the normalized least-mean-square (NLMS), robust variable step-size NLMS, and pseudoaffine projection algorithms in terms of convergence rate and steady-state error in Gaussian noise and impulsive noise environments.
Journal ArticleDOI
A Family of Adaptive Decorrelation NLMS Algorithms and Its Diffusion Version Over Adaptive Networks
TL;DR: A family of adaptive decorrelation NLMS variants is proposed to increase the convergence rate of the normalized least mean square (NLMS) algorithm for highly correlated signals and to reduce the computational complexity of the existing decor correlation NLMS scheme.
Journal ArticleDOI
Performance Improvement of Grid-Integrated Solar PV System Using DNLMS Control Algorithm
TL;DR: A three-phase grid-integrated solar photovoltaic system incorporating a control technique based on a modified decorrelation normalized least mean square (DNLMS) algorithm, aiming to enhance its overall performance under adverse conditions, is presented in this work.
Journal ArticleDOI
Classification of ECG signal with Support Vector Machine Method for Arrhythmia Detection
TL;DR: The feature set of MIT-BIH arrhythmia using the support vector machine (SVM) method on the WEKA software is evaluated and the result is constant since all classes of SVM goes to the normal class with average 88.49% accuracy.
Journal ArticleDOI
A Signal Decorrelation PNLMS Algorithm for Double-Talk Acoustic Echo Cancellation
Kun Pu,Jiashu Zhang,Liangwen Min +2 more
TL;DR: A novel proportionate decorrelation normalized least-mean-square adaptive AEC without DTD for echo cancellation as an interesting alternative to the typical AEC with DTDs at a lower computational cost is presented.
References
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Book
Adaptive Filter Theory
TL;DR: In this paper, the authors propose a recursive least square adaptive filter (RLF) based on the Kalman filter, which is used as the unifying base for RLS Filters.
Journal ArticleDOI
Adaptive noise cancelling: Principles and applications
Bernard Widrow,J.R. Glover,John M. McCool,J. Kaunitz,C.S. Williams,R.H. Hearn,James R. Zeidler,Jr. Eugene Dong,R.C. Goodlin +8 more
TL;DR: It is shown that in treating periodic interference the adaptive noise canceller acts as a notch filter with narrow bandwidth, infinite null, and the capability of tracking the exact frequency of the interference; in this case the canceller behaves as a linear, time-invariant system, with the adaptive filter converging on a dynamic rather than a static solution.
Journal ArticleDOI
Active noise control: a tutorial review
Sen M. Kuo,Dennis R. Morgan +1 more
TL;DR: The basic adaptive algorithm for ANC is developed and analyzed based on single-channel broad-band feedforward control, then modified for narrow-bandFeedforward and adaptive feedback control, which are expanded to multiple-channel cases.
Book
Signal Processing for Active Control
TL;DR: Signal Processing for Active Control as mentioned in this paper presents a unified approach to techniques that are used in the analysis and implementation of different active control systems and includes practical examples at the end of each chapter to illustrate the use of various approaches.
Journal ArticleDOI
A new application of adaptive noise cancellation
TL;DR: A new application of Widrow's adaptive noise cancellation (ANC) is presented and it is shown that ANC can provide substantial noise reduction with little speech distortion even when the acoustic barrier provides only moderate attenuation of acoustic signals.