Results 121 to 130 of about 768 (156)
, 1992 Some of the next articles are maybe not open access.
Related searches:
Related searches:
A Recursive Least-Squares (RLS) Algorithm Based on Interpolation Lattice Recursion
2006 2nd International Conference on Information & Communication Technologies, 2006This paper proposes using a square-root-free (SRF) QR-decomposition-based least-squares lattice (QRD-LSL) interpolation algorithm to implement the recursive least-squares (RLS) algorithm that requires O(Nlog 2 N) operations. Our simulation results show that the proposed RLS algorithm appears to be numerically stable.
null Jenq-Tay Yuan, null Chih-An Chiang
openaire +1 more source
Modified recursive least squares (RLS) algorithm for neural networks using piecewise linear function
IEE Proceedings - Circuits, Devices and Systems, 2004The recursive least squares (RLS) learning algorithm for multilayer feedforward neural networks uses a sigmoid nonlinearity at node outputs. It is shown that by using a piecewise linear function at node outputs, the algorithm becomes faster. The modified algorithm improves computational efficiency and by preserving matrix symmetry it is possible to ...
A.P. Gokhale, P.M. Nawghare
openaire +1 more source
2007 IEEE International Symposium on Signal Processing and Information Technology, 2007
The abdominal ECG is a composite signal because it contains both the mother's and the fetus' ECG signals, but the chest ECG is supposed to have only maternal (MECG) component. In this paper, we use three different adaptive algorithms to remove FECG signal from the abdominal ECG.
Aryan Salmanpour +3 more
openaire +1 more source
The abdominal ECG is a composite signal because it contains both the mother's and the fetus' ECG signals, but the chest ECG is supposed to have only maternal (MECG) component. In this paper, we use three different adaptive algorithms to remove FECG signal from the abdominal ECG.
Aryan Salmanpour +3 more
openaire +1 more source
2007 15th International Conference on Software, Telecommunications and Computer Networks, 2007
Iterative equalization using optimal Multi-User Detector (MUD) & trellis-based channel decoder in coded Code Division Multiple Access (CDMA) systems improves Bit Error Rate (BER) performance. When large number of users is employed in the system over multipath channels, causing significant Multiple-Access Interference (MAI) & Inter Symbol Interference ...
Suneeta V Budihal +2 more
openaire +1 more source
Iterative equalization using optimal Multi-User Detector (MUD) & trellis-based channel decoder in coded Code Division Multiple Access (CDMA) systems improves Bit Error Rate (BER) performance. When large number of users is employed in the system over multipath channels, causing significant Multiple-Access Interference (MAI) & Inter Symbol Interference ...
Suneeta V Budihal +2 more
openaire +1 more source
A study of recursive least squares (RLS) adaptive filter algorithm in noise removal from ECG signals
2015 International Conference on Informatics, Electronics & Vision (ICIEV), 2015Electrocardiogram (ECG) is a diagnostic procedure that measures and records the electrical activity of heart in detail. By reviewing an ECG report, one's condition of heart can be evaluated. But ECG signals are often affected and altered by the presence of various noises that degrade the accuracy of an ECG signal and thus misrepresents the recorded ...
Arya Chowdhury Mugdha +2 more
openaire +1 more source
Student Conference on Research and Development, 2003
This paper analyses two types noise cancellation algorithms (i.e. the least-mean square (LMS) algorithm and the recursive least-squares (RLS) algorithm) and tries to outlines their strengths and their weaknesses. We have implemented these algorithms in a "semi-hardware" fashion, using a microphone, two loudspeakers and a Sound Blaster sound card and ...
A.H. Abdullah, M.I. Yusof, S.R.M. Baki
openaire +1 more source
This paper analyses two types noise cancellation algorithms (i.e. the least-mean square (LMS) algorithm and the recursive least-squares (RLS) algorithm) and tries to outlines their strengths and their weaknesses. We have implemented these algorithms in a "semi-hardware" fashion, using a microphone, two loudspeakers and a Sound Blaster sound card and ...
A.H. Abdullah, M.I. Yusof, S.R.M. Baki
openaire +1 more source
ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing, 2003
A multichannel adaptive lattice algorithm is derived that provides a least-squares estimate of a primary signal in terms of the last p samples of m reference signals. The recursions developed are optimized for multichannel use and provide an algorithm with computational complexity O(pm/sup 2/).
openaire +1 more source
A multichannel adaptive lattice algorithm is derived that provides a least-squares estimate of a primary signal in terms of the last p samples of m reference signals. The recursions developed are optimized for multichannel use and provide an algorithm with computational complexity O(pm/sup 2/).
openaire +1 more source
Circuits, Systems, and Signal Processing, 2012
The fast QR-decomposition based recursive least-squares (FQRD-RLS) algorithms offer RLS-like convergence and misadjustment at a lower computational cost, and therefore are desirable for implementation on a fixed-point digital signal processor (DSP). Furthermore, the FQRD-RLS algorithms are derived from QR-decomposition based RLS algorithms that are ...
Mobien Shoaib, Saleh Alshebeili
openaire +1 more source
The fast QR-decomposition based recursive least-squares (FQRD-RLS) algorithms offer RLS-like convergence and misadjustment at a lower computational cost, and therefore are desirable for implementation on a fixed-point digital signal processor (DSP). Furthermore, the FQRD-RLS algorithms are derived from QR-decomposition based RLS algorithms that are ...
Mobien Shoaib, Saleh Alshebeili
openaire +1 more source