weighted least square (WLS)
Design and Performance Analysis of Digital Low-Pass FIR Filter using Weighted Least Square Error Method with Different Weights
... employing weighted least-square (WLS) approximation error constraints on the frequency domain ...this weighted least square (WLS) error method is used for ...
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Optimal Design of FIR Filter Using Weighted Least Square Error Method
... In this paper, a method for design of FIR Filters is proposed. The design method is based on Weighted Least Square (WLS) optimization. In this algorithm, Newton and Quasi-Newton method is used. The ...
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Improved GPS Single Point Positioning Using Weighted Least Square Method
... This project is focused on L1 frequency of GPS single point positioning to determine the receiver coordinate in Earth Center Earth Fixed (ECEF) coordination. The algorithm tested in this project is written in MATLAB ...
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Icing Forecasting of High Voltage Transmission Line Using Weighted Least Square Support Vector Machine with Fireworks Algorithm for Feature Selection
... Abstract: Accurate forecasting of icing thickness has a great significance for ensuring the security and stability of power grid. In order to improve the forecasting accuracy, this paper proposes an icing forecasting ...
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RSSD based 3 D localization of an unknown radio transmitter using weighted least square and factor graph
... utilizing least square (LS) algorithm to estimate the optimal location of the target by minimizing the sum of squares of geo- metric distance errors between the target and AP ...distance, weighted ...
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Recursive Estimation of Emitter Position Using AOA Measurements
... In the geolocation using an active radio source, environmental noise is the major factor which causes the estimation inaccuracy of position estimation. In order to improve the estimation accuracy of geolocation, Wang [7] ...
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Performance of Weighted Least Square Filter Based Pan Sharpening using Fuzzy Logic
... The actual evaluations on the complete functionality around the merged perception from the encouraged place in addition to that regarding your wavelet place in addition to 4 recently-pro[r] ...
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Improved Weighted Least Square Filter Based Pan Sharpening using Fuzzy Logic
... Kumar, "Image fusion of the multi-sensor lunar image data using wavelet combined transformation." In Recent Trends in Information Technology ICRTIT, 2011 International Conference on, pp.[r] ...
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Weighted Guided Image Filter for Smoothing and Haze Removal
... like Weighted least square filter preserve sharp edges but have high computational ...proposed Weighted guided filter by incorporating edge aware weighing into the guided ...removal ...
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Burr XII Fréchet Distribution: Properties, Bayesian and Classical Estimation
... The weighted least square method is the best method for modelling breaking stress data, the least square method is the best method for modelling strengths data, however all other ...
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The Least Square free Primitive Root Modulo a Prime
... The algorithm runs on a queue of unexplored nodes. We know the first case, 2 | p − 1 is true and so the first node that is added to the queue is (n, 2, φ, ∞). The information stored in this first node is n, {2} (the list ...
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Mathematical Approaches with Least Square Method Suitability in Circularity
... a least square technique is introduced for use in evaluating the forms of ...for Least Square (L2) Method on different approaches and then solved using software program in C ...
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Performance of AWGN Channel Using Least Squar...
... MIMO-OFDM is commonly used communication system due to its high transmission rate and robustness against multipath fading. In MIMO-OFDM, channel estimation plays a major role. It refers to estimation of transmitted ...
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Ray mappings and the weighted least action principle
... Two basic problems in optics are presented. The solutions to both problems are formulated in terms of the associated ray mappings. An alternative formulation based on a weighted sum of the actions along the rays ...
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Exploring the Relationship between Financial Ratios and Market Stock Returns
... the square of dividends yield ratio, price to earnings ratio and the square of price to earnings ratio, market to book value ratio and the square of market to book value ratio, earning yield ratio ...
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Evaluation of Adaptive Noise Cancellation using various Algorithm Techniques
... (Normalised Least Mean Square) special case of LMS algorithm, RLS(Recursive Least Mean Square) and Kalman Filters and find the minimum error algorithm But this minimum error algorithm has ...
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Least Orthogonal Distance Estimator and Total Least Square for Simultaneous Equation Models
... computational algorithm based on SVD is numerically more robust with respect to the one based on SD; where robustness has to be understood as the greater probability to converge presented by the algorithm (Markovsky and ...
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Least-Square Prediction for Backward Adaptive Video Coding
... To fully exploit the flexibility offered by backward adap- tation, we argue that explicit estimation of motion field is neither necessary nor su ffi cient for exploiting the temporal redundancy at least for the class ...
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On the Equivalence of the Weighted Least Squares and the Generalised Least Squares Estimators, with Applications to Kernel Smoothing
... locally weighted aver- aging is performed instead of locally weighted regression and kernel weights are given explicitly as w j = κ j ( P h j=−h κ j ) −1 ...
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Least Square Privacy Preserving Technique for Intrusion Detection System
... Abstract:Network intrusion is a foremost growing concern threat in the cyberspace, which can be damage the network architecture in a multiple ways by modifying the system configuration/parameters. Hackers/Intruders are ...
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