• No results found

[PDF] Top 20 Error analysis of the fixed point RLS algorithm

Has 10000 "Error analysis of the fixed point RLS algorithm" found on our website. Below are the top 20 most common "Error analysis of the fixed point RLS algorithm".

Error analysis of the fixed point RLS algorithm

Error analysis of the fixed point RLS algorithm

... , < 1), and the prewindowed growing memory RLS (, == 1). Simulation results which support the theory are presented and the effect of correlation for various cases is studied. It is po[r] ... See full document

27

Application of Fixed Point Theorem and Error Bounds

Application of Fixed Point Theorem and Error Bounds

... The Fixed points have long been used in analysis to solve various kinds of partial differential equa- tions , ordinary differential equations and integral equations [3] .... Fixed point ... See full document

6

Steady-state analysis of the fixed-point RLS algorithm

Steady-state analysis of the fixed-point RLS algorithm

... and system parameters. The effect of input correlation is analyzed by defining a new quantity called the correlation amplification factor. It is shown that input correlation amplifies th[r] ... See full document

36

Performance Analysis of Adaptive Beamforming Algorithms for Orthogonal Frequency Division Multiplexing System

Performance Analysis of Adaptive Beamforming Algorithms for Orthogonal Frequency Division Multiplexing System

... adaptive algorithm has converged as shown in ...LMS, RLS and CMA algorithm. A plot of mean square error versus iterations is shown in ...LMS, RLS and CMA respectively for 512 ...whereas ... See full document

5

Parallel synchronous algorithm for nonlinear fixed point problems

Parallel synchronous algorithm for nonlinear fixed point problems

... monotone operator T . We give first a general result concerning the maximal monotone operators. Such operators have been studied extensively because of their role in convex analysis (minimization of functionals, ... See full document

9

Performance Analysis Of RLS Over LMS Algorithm For MSE In Adaptive Filters

Performance Analysis Of RLS Over LMS Algorithm For MSE In Adaptive Filters

... adaptive algorithm adapting the filter parameters varies with the application object, among these adaptive filtering algorithms Least Mean Square algorithm and Recursive Least Squares algorithm have ... See full document

5

Comparative Analysis of MVDR &amp; RLS Beamforming Algorithm for Smart Antenna

Comparative Analysis of MVDR & RLS Beamforming Algorithm for Smart Antenna

... multiple fixed beams to serve the user in desire ...an algorithm. Based on the detection of the detector this algorithm decides and select the strongest ... See full document

8

New Insights into the RLS Algorithm

New Insights into the RLS Algorithm

... The RLS algorithm plays a major role in adaptive signal pro- ...the RLS can be written in terms of the a priori or a posteriori interpolation error signals normalized with their respective ... See full document

9

Space-Time Joint Interference Cancellation Using Fuzzy-Inference-Based Adaptive Filtering Techniques in Frequency-Selective Multipath Channels

Space-Time Joint Interference Cancellation Using Fuzzy-Inference-Based Adaptive Filtering Techniques in Frequency-Selective Multipath Channels

... LMS-based, RLS-based, FLC-LMS, and FLC-RLS approaches as a function of SNR under the MAI and Rayleigh-fading ...FLC- RLS achieves a much better BER performance than other schemes, because of the use ... See full document

17

A COMPARATIVE ANALYSIS OF MEAN SQUARE ERROR ADAPTIVE FILTER ALGORITHMS FOR GENERATION OF MODIFIED SCALING AND WAVELET FUNCTION

A COMPARATIVE ANALYSIS OF MEAN SQUARE ERROR ADAPTIVE FILTER ALGORITHMS FOR GENERATION OF MODIFIED SCALING AND WAVELET FUNCTION

... square error adaptive filter RLS algorithm has been ...(RLS) algorithm, RLS performs better due to its insensitivity to step size, faster convergence and better ... See full document

6

A novel fixed point algorithm for constrained independent component analysis

A novel fixed point algorithm for constrained independent component analysis

... 19]. Thus, it is necessary to develop an efficient noncircu- lar complex ICA algorithm. Among the aforementioned ICA algorithms, one of the most effective and commonly used algorithms for noncircular complex ... See full document

12

Floating point roundoff error analysis of the adaptive exponential sliding window RLS algorithm for time-varying systems in the presence of noise

Floating point roundoff error analysis of the adaptive exponential sliding window RLS algorithm for time-varying systems in the presence of noise

... The results for the LMS algorithm show that the excess mean square error due to floating point arithmetic increases inversely to loop gain for errors introduced by the summation in the w[r] ... See full document

51

A new stabilization technique for the fixed point prewindowed RLS algorithm

A new stabilization technique for the fixed point prewindowed RLS algorithm

... The random walk phenomenon due to roundoff errors in the weight update causes the divergence of the algorithm.. To overcome this effect, these roundoff errors are modeled such that.[r] ... See full document

12

On Stability of Iterative Sequences with Error

On Stability of Iterative Sequences with Error

... with error and Picard-Mann iteration with error iterative processes converge strongly to the unique fixed point of Lipschitzian strongly pseudo-contractive ... See full document

12

Blind deconvolution with an application to speckle imaging

Blind deconvolution with an application to speckle imaging

... 7.5 The object error, the point spread function error, the convolution error and the total error achieved by the conjugate gradient algorithm for different number of frames at 1000 itera[r] ... See full document

211

New Approach of Performance Analysis of RLS Adaptive Filter Using a Block-wise Processing

New Approach of Performance Analysis of RLS Adaptive Filter Using a Block-wise Processing

... and RLS as a function of the number of ...the RLS (discontinuous line curve) algorithm has a faster convergence rate (-46 dB) than the LMS algorithm ... See full document

24

The statistical analysis of point events associated with a fixed point

The statistical analysis of point events associated with a fixed point

... In addition, there are a number of examples of data sets in Ecology where the spatial distribution of events is related to a fIxed central point.. al 1980 and Mason et al 1982 give examp[r] ... See full document

574

General Iterative Method for Convex Feasibility Problem via the Hierarchical Generalized Variational Inequality Problems

General Iterative Method for Convex Feasibility Problem via the Hierarchical Generalized Variational Inequality Problems

... We studied the convex feasibility problem (CFP) in the case that each closed convex set is a solution set of gen- eralized variational inequality and exhibits an algorithm for finding solution of the hierarchical ... See full document

6

Δ-convergence for proximal point algorithm and fixed point problem in CAT(0) spaces

Δ-convergence for proximal point algorithm and fixed point problem in CAT(0) spaces

... proximal point algorithm for common fixed points in a CAT(0) space for different classes of generalized nonexpansive mappings including a total asymptotically nonexpansive mapping, a multivalued mapping, and ... See full document

19

Acceleration of the Halpern algorithm to search for a fixed point of a nonexpansive mapping

Acceleration of the Halpern algorithm to search for a fixed point of a nonexpansive mapping

... an algorithm to accelerate the Halpern fixed point algorithm in a real Hilbert ...Halpern algorithm to the smooth convex minimization problem, which is an example of a fixed point problem ... See full document

11

Show all 10000 documents...

Related subjects