封面圖片

Direction set based Algorithms for adaptive least squares problems improvements and innovations.

The main objective of this research is to provide a mathematically tractable solutions to the adaptive filtering problem by formulating the problem as an adaptive least squares problem. This approach follows the work of Chen (1998) in his study of direction-set based CDS) adaptive filtering algorith...

Saved in:

書目詳細資料
主要作者:	Ahmad, Noor Atinah
格式:	Monograph
出版:	Universiti Sains Malaysia 2008
主題:	QA1 Mathematics (General)
在線閱讀:	http://eprints.usm.my/31814/
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

A Stochastic Total Least Squares Solution of Adaptive Filtering Problem
由: Javed, Shazia, et al.
出版: (2014)

On damping parameters of Levenberg-Marquardt algorithm for nonlinear least square problems
由: Sulaiman, I.M, et al.
出版: (2021)

Reduced Fuzzy Recursive Least-Squares Algorithm For Real Time Estimation
由: Cheah, Kah Wai
出版: (2018)

A goal programming approach for the problems analyzed using the method of least squares
由: Ahmad, Maizah Hura
出版: (2004)

Using ridge least median squares to estimate the parameter by solving multicollinearity and outliers problems
由: Pati, Kafi Dano, et al.
出版: (2015)

Parameter estimation using least square method
由: Zamzuri, Hairi
出版: (2001)

Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm
由: Nur Azulia, Kamarudin
出版: (2019)

Constructing partial least squares model in the presence of missing data
由: Mohd Jamil, Jastini, et al.
出版: (2015)

Modified Chi Square Test of Goodness of Fit (MCSTGF) Based on Least Square Method: An Application to Water Transportation
由: Okwonu, Friday Zinzendoff, et al.
出版: (2021)

JMASM 46: Algorithm for comparison of robust regression methods in multiple linear regression by weighting least Square Regression
由: Mohd Ibrahim, Mohamad Shafiq, et al.
出版: (2017)

Comparing least-squares and goal programming estimates of linear regression parameter.
由: Ahmad, Maizah Hura, et al.
出版: (2005)

Handling multicollinearity and outliers using weighted ridge least trimmed squares
由: Pati, Kafi Dano, et al.
出版: (2014)

Global-Local Partial Least Squares Discriminant Analysis And Its Extension In Reproducing Kernel Hilbert Space
由: Muhammad, Aminu
出版: (2021)

Modified BPNN via iterated least median squares, particle Swarm optimization and firefly algorithm
由: Md. Ghani, Nor Azura, et al.
出版: (2017)

AN IMPROVED HARMONY SEARCH ALGORITHM FOR MULTIPLE DOMINATING SET PROBLEMS
由: ABED, SAAD ADNAN
出版: (2021)

Fishery landing forecasting using EMD-based least square support vector machine models
由: Shabri, Ani
出版: (2015)

Analysis of least squares methods based on Ball curves representation in solving ordinary differential equations
由: Bhatti, Abdul Hadi
出版: (2024)

Estimation of vinyl acetate monomer concentration using neural network & partial least square
由: Mohamad Zafarudin, Mohamad
出版: (2008)

Belajar Least Squares Support Vector Machines (LS-SVM) dalam masa seminggu
由: Mohd Herwan, Sulaiman, et al.
出版: (2017)

Self organizing map and least square support vector machine method for river flow modelling
由: Ismail, Shuhaida
出版: (2011)

Empirical mode decomposition with least square support vector machine model for river flow forecasting
由: Ismail, Shuhaida
出版: (2016)

Empirical Mode Decomposition Coupled with Least Square Support Vector Machine for River Flow Forecasting
由: Ismail, Shuhaida, et al.
出版: (2015)

Stream flow forecasting using principal component analysis and least square support vector machine
由: Ismail, Shuhaida, et al.
出版: (2014)

A Weighted Least Squares Estimation Of The Polynomial Regression Model On Paddy Production For The Muda Agriculture And Development Authority (Mada) Area
由: Musa, Rosliza
出版: (2016)

Least-squares finite element method for solving stokes equation with a point source magnetic field
由: Che Ayob, Alia Rafiza
出版: (2022)

Least-squares finite element method for solving stokes flow under point source magnetic field
由: Che Ayob, Alia Rafiza, et al.
出版: (2022)

Optimal Homotopy Asymptotic Method-Least Square for Solving Nonlinear Fractional-Order Gradient-Based Dynamic System from an Optimization Problem
由: Okundalaye, Oluwaseun Olumide, et al.
出版: (2020)

The performance of leverage based near neighbour-robust weight least squares in multiple linear regression in the presence of heteroscedastic errors and outlier
由: Khoo, Li Peng, et al.
出版: (2015)

An improve unsupervised discretization using optimization algorithms for classification problems
由: Mohamed, Rozlini, et al.
出版: (2024)

First order polarization tensor approximation using multivariate polynomial interpolation method via least square minimization technique
由: Sukri, S. A., et al.
出版: (2021)

An improved all-pass filtered x least mean square algorithm
由: Mondal, K., et al.
出版: (2020)

An improved digital watermarking algorithm using combination of least significant bit (LSB) and inverse bit
由: Abdullah Bamatraf, Abdullah Omar
出版: (2012)

Comparative Study Of Iterative Search Method For Adaptive Filtering Problems.
由: Ahmad, N.A
出版: (2005)

A self-adaptive binary differential evolution algorithm for large scale binary optimization problems
由: Banitalebi, A., et al.
出版: (2016)

Two-dimensional Stefan problem using level set method
由: Noor Azhuan, Nur Azura
出版: (2017)

A new learning automata-based algorithm to the priority-based target coverage problem in directional sensor networks
由: Salleh, S., et al.
出版: (2015)

Adaptive minimum error least significant bit replacement method for steganography using JPG/JPEG and PNG files
由: Wamiliana, Wamiliana, et al.
出版: (2015)

Improvement Of Disparity Map Refinement Stage Using Adaptive Least Square Plane Fitting Technique
由: Hamzah, Rostam Affendi, et al.
出版: (2020)

Parameter estimation of tapioca starch hydrolysis process: Application of least squares and genetic algorithm
由: Roslina, Rashid, et al.
出版: (2011)

Associated Factors of Cardiovascular Diseases in Pakistan: Assessment of Path Analyses Using Warp Partial Least Squares Estimation
由: Mirza Rizwan, Sajid, et al.
出版: (2020)