Results 131 to 140 of about 20,755 (208)

Unraveling sleep apnea dynamics: quantifying loop gain using dynamical modeling of ventilatory control. [PDF]

Sleep
Nassi T, Amidi Y, Oppersma E, Donker DW, Redeker NS, Westover MB, Thomas RJ.   +6 more
europepmc   +1 more source

Ultrasonic Through-Metal Communication Based on Deep-Learning-Assisted Echo Cancellation. [PDF]

Sensors (Basel)
Zhang J, Jiang M, Zhang J, Gu M, Cao Z.
europepmc   +1 more source

Jitter solution in parameter identification based on cross-time scale fusion algorithm of lithium-ion batteries. [PDF]

Heliyon
Su X, Ge Y, Qiao X.
europepmc   +1 more source

FSU RLS : a fast recursive least squares algorithm based on displacement structure and the FFT

, 1993
openaire   +1 more source

The fast subsampled-updating recursive least-squares (FSU RLS) algorithm for adaptive filtering based on displacement structure and the FFT

, 1992
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Adaptive noise cancellation: a practical study of the least-mean square (LMS) over recursive least-square (RLS) algorithm

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   +2 more sources

Fixed Point Considerations for Digital Predistortion of a RF Power Amplifier Using Recursive Least Square (RLS) Estimation

2019 IEEE Topical Conference on RF/Microwave Power Amplifiers for Radio and Wireless Applications (PAWR), 2019
The basic form of a recursive least square (RLS) estimator implemented in fixed point is known to be unstable numerically due to quantization and saturation. A discussion of the instability mechanisms is provided along with modifications to correct the problems. Regularization and eigenvalue monitoring are used to keep the covariance matrix bounded and
R. Braithwaite
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Performance Analysis of Adaptive Decision Feedback Turbo Equalization (ADFTE) Using Recursive Least Square (RLS) Algorithm over Least Mean Square (LMS) Algorithm

International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007), 2007
Suneeta V Budihal, R.M. Banakar
openaire   +2 more sources

Parameter and VSI Nonlinearity Hybrid Estimation for PMSM Drives Based on Recursive Least Square

IEEE Transactions on Transportation Electrification, 2023
Precise electrical parameters play important roles in the high-performance control of permanent magnet synchronous machines (PMSMs). This article proposes a novel parameter and voltage source inverter (VSI) nonlinearity hybrid estimation method to ...
Chuanqiang Lian, F. Xiao, Jilong Liu, Shan Gao   +3 more
semanticscholar   +1 more source

A Recursive Least-Squares (RLS) Algorithm Based on Interpolation Lattice Recursion

2006 2nd International Conference on Information & Communication Technologies, 2006
This 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