Journal ArticleDOI
Paper: A comparative analysis of various least-squares identification algorithms
TLDR
The purpose of this paper is to clarify the relations and to provide some selection guides among several time-series identification algorithms that appear in the literature under different names but which are essentially least-squares identification algorithms where only the numerical solution of the least-Squares estimation problem is different.About:
This article is published in Automatica.The article was published on 1980-11-01. It has received 35 citations till now. The article focuses on the topics: Probabilistic analysis of algorithms & Autocorrelation.read more
Citations
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Journal ArticleDOI
Paper: Error propagation properties of recursive least-squares adaptation algorithms
Stefan Ljung,Lennart Ljung +1 more
TL;DR: This work investigates how an error that is introduced at an arbitrary point in the algorithm propagates and it is shown that conventional LS algorithms are exponentially stable with respect to such errors, i.e. the effect of the error decays exponentially.
Journal ArticleDOI
Multifunctional prosthesis and orthosis control via microcomputer identification of temporal pattern differences in single-site myoelectric signals.
TL;DR: Results of on-line tests on amputees and hemiplegics of multifunctional prostheses and orthoses control are discussed by identifying the parameters of single-site temporal EMG signal signatures.
Journal ArticleDOI
The electromyogram (EMG) as a control signal for functional neuromuscular stimulation. I. Autoregressive modeling as a means of EMG signature discrimination
TL;DR: The successful application of functional neuromuscular stimulation to the muscles of paraplegics depends to a large extent on the adequate provision of a means by which the subject can exercise control over the resulting movement.
Journal ArticleDOI
Stochastic analysis of myoelectric temporal signatures for multifunctional single-site activation of prostheses and orthoses.
TL;DR: A case is made in this paper for employing TS analysis to squeeze out information in a distinct but low-level ripple of the low frequency spectrum of the signal.
Journal ArticleDOI
A recursive maximum likelihood algorithm for ARMA line enhancement
TL;DR: In this paper, a recursive maximum likelihood algorithm is proposed for adaptively adjusting the coefficients of an IIR line enhancer, and the performance of this adaptive IIR filter is analyzed and compared to that of a finite impulse response filter.
References
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Book
Time series analysis, forecasting and control
TL;DR: In this article, a complete revision of a classic, seminal, and authoritative book that has been the model for most books on the topic written since 1970 is presented, focusing on practical techniques throughout, rather than a rigorous mathematical treatment of the subject.
Book
Linear Prediction of Speech
John E. Markel,A. Gray +1 more
TL;DR: Speech Analysis and Synthesis Models: Basic Physical Principles, Speech Synthesis Structures, and Considerations in Choice of Analysis.