Journal ArticleDOI
An analysis of multiple correlation cancellation loops with a filter in the auxiliary path
TLDR
An analysis of this technique is extended to the case when a linear filter appears in the auxiliary signal path and a general solution to this problem is obtained.Abstract:
A technique known as a "multiple correlation cancellation loop" and also as the "LMS algorithm" is widely used in adaptive arrays for radar, sonar, and communications, as well as in many other signal processing applications. In this paper an analysis of this technique is extended to the case when a linear filter appears in the auxiliary signal path. A general solution to this problem is obtained and several examples for narrow-band and broad-band signals are presented.read more
Citations
More filters
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.
Journal ArticleDOI
Genetic algorithms and their applications
TL;DR: The genetic algorithm is introduced as an emerging optimization algorithm for signal processing and a number of applications, such as IIR adaptive filtering, time delay estimation, active noise control, and speech processing, that are being successfully implemented are described.
Journal ArticleDOI
Active noise control
TL;DR: The importance of having a clear understanding of the principles behind both the acoustics and the electrical control in order to appreciate the advantages and limitations of active noise control is emphasized.
Journal ArticleDOI
A multiple error LMS algorithm and its application to the active control of sound and vibration
TL;DR: An algorithm is presented to adapt the coefficients of an array of FIR filters, whose outputs are linearly coupled to another array of error detection points, so that the sum of all the mean square error signals is minimized.
Journal ArticleDOI
A delayless subband adaptive filter architecture
Dennis R. Morgan,J.C. Thi +1 more
TL;DR: A new type of subband adaptive filter architecture is presented in which the adaptive weights are computed in subbands, but collectively transformed into an equivalent set of wideband filter coefficients, which avoids signal path delay while retaining the computational and convergence speed advantages of sub band processing.
References
More 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.
Book ChapterDOI
Stationary and nonstationary learning characteristics of the LMS adaptive filter
TL;DR: It is shown that for stationary inputs the LMS adaptive algorithm, based on the method of steepest descent, approaches the theoretical limit of efficiency in terms of misadjustment and speed of adaptation when the eigenvalues of the input correlation matrix are equal or close in value.
Journal ArticleDOI
Adaptive antenna systems
TL;DR: In this article, a simple adaptive technique based on the least-mean-squares (LMS) algorithm is proposed to adjust the variable weights of a signal processor by forming appropriate nulls in the antenna directivity pattern.
Journal ArticleDOI
Adaptive equalization of highly dispersive channels for data transmission
TL;DR: The author examines convergence, rate of convergence, and the effect of noisy observations of the received pulses, and he shows that the noisy observations result in a random sequence of tap weight settings whose mean value converges to a suboptimal setting.
Journal ArticleDOI
Self-Orthogonalizing Adaptive Equalization Algorithms
TL;DR: A comparison is made of several self-orthogonalizing adjustment algorithms for linear tapped delay line equalizers that accelerate the rate of convergence of the equalizer tap weights to those which minimize the output mean-squared error of a data transmission system.