Results 241 to 250 of about 61,800 (289)

Kernel-based Nonlinear Fit with Total Least Square(TLS) Method

2007 Chinese Control Conference, 2006
In this paper, on the basis of linear fit in the total least square(TLS) method sense, we proposed a method of nonlinear fit in the TLS method sense via kernel representation. Namely, by using an appropriate kernel function, the problems of nonlinear fit can be transformed to the problems of linear fit without paying the computational penalty and ...
Hu Guanghua, Fu Guanghui
openaire   +1 more source

Robust Normalized Subband Adaptive Filter Algorithm Based on Logarithmic and Total Least Squares for Correlated Input Signals and Impulsive Noise

IEEE Transactions on Circuits and Systems - II - Express Briefs, 2023
The total least squares normalized subband adaptive filter (TLS-NSAF) algorithm proposed in recent years has shown excellent performance in processing the errors-in-variables (EIV) model of correlated input signals.
Haiquan Zhao, Zian Cao
semanticscholar   +1 more source

A Consideration on Higher Convergence Adaptive Equalization Method with Noises Reduction Function using Total Least Squares Method

International Symposium on Communications and Information Technologies, 2023
In the communications systems, if received signals do not include noises, we can accurately perform blind equalization for regenerating the transmitted signals.
Ryusuke Kono, Minoru Komatsu, Hiroki Matsumoto   +2 more
semanticscholar   +1 more source

Improved Robust Total Least Squares Adaptive Filter Algorithms Using Hyperbolic Secant Function

IEEE Transactions on Circuits and Systems - II - Express Briefs, 2022
In the errors-in-variables (EIV) model, the total least squares (TLS) algorithm has shown good convergence performance. In this model, the input and output signals are simultaneously infected with noise.
Yida Chen, Haiquan Zhao
semanticscholar   +1 more source

Total Least Squares Normalized Subband Adaptive Filter Algorithm for Noisy Input

IEEE Transactions on Circuits and Systems - II - Express Briefs, 2022
Subband adaptive filter has been widely applied to process correlated input signals due to its decorrelation property. However, the performance of the subband adaptive filter algorithm will be drastically degraded in the case of both the input and output
Haiquan Zhao, Yida Chen, Jun Liu, Yingying Zhu   +3 more
semanticscholar   +1 more source

Higher Convergence Adaptive Equalization Method with Noise Removal Function Using Total Least Squares Method

International Symposium on Communications and Information Technologies, 2022
In the communications system, when received signals do not include noises, we can accurately perform blind equalizations. However, when received signals include noises, equalization performance generally deteriorates.
Ryusuke Kono, Minoru Komatsu, H. Matsumoto   +2 more
semanticscholar   +1 more source

Pansharpening based on total least squares regression and ratio enhancement

Remote Sensing Letters, 2022
The key of ratio enhancement (RE) is to synthesize a low-resolution panchromatic image. The grey-level distortion of the synthesized low-resolution image can distort a fused image.
Jinyan Nie, Junjun Pan, Qizhi Xu
semanticscholar   +1 more source

A Consideration of High-Convergence Adaptive Deconvolution with Noise Reduction Function Based on Total Least Squares

International Symposium on Intelligent Signal Processing and Communication Systems, 2022
In baseband transmission systems, if received signals do not include noises, we can accurately perform blind deconvolution for regenerating the transmitted signals.
Ryusuke Kono, Minoru Komatsu, H. Matsumoto   +2 more
semanticscholar   +1 more source

Total Least Squares Estimation for Motion-Induced Extrinsic Calibration in Multi-Robot Systems

Asian Control Conference, 2022
Robot-to-robot extrinsic calibration (EC), which refers to determining relative pose between robots, is a fundamental requirement for many multi-robot applications.
Ming Li, Zhiyong Sun
semanticscholar   +1 more source

Partial Discharge Location With Gradient-Descent Total Least-Squares Euclidean Direction Search Algorithm for Cable Systems

IEEE Transactions on Industrial Informatics
Based on the total least-squares (TLS) model, the gradient-descent TLS Euclidean direction search (GD-TLS-EDS) algorithm is proposed when both input and output signals are corrupted by noises.
Jie Wang, Lu Lu, Kai Zhou, Guangya Zhu, Songkun Pan   +4 more
semanticscholar   +1 more source