Mean square
Statistical Study of Least Mean Square and Normalised Least Mean Square Algorithms
... ABSTRACT: This paper studies the stochastic behavior of the LMS and NLMS algorithms for a system identification framework when the input signal is a cyclostationary white Gaussian process. The input cyclostationary ...
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Mean Square Numerical Methods for Initial Value Random Differential Equations
... Th itially valued first order random differential equa- tio be solved numerically using the random Euler and random Runge-Kutta methods in mean square sense. The existence and uniqueness of the solution ...
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Mean square error optimal weighting for multitaper cepstrum estimation
... is mean square error optimal for cepstrum coefficient ...cepstrum mean square error are made of some known multitaper methods as well as with the parametric autoregressive estimator for ...
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Mean square heterogeneous synchronization of interdependent networks with stochastic disturbances
... the mean-square asymptotical heterogeneous synchronization of interdependent networks with stochastic disturbances, which is a zero-mean real Wiener process, is ...adaptive mean-square ...
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The Design and Implementation of Notch Filter Based on Least Mean Square
... Abstract. Data acquisition and analysis system often encounters interference of single frequency or narrowband signal in work. For example, in power frequency environment, 50Hz interference signal often affects the ...
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A gait abnormality measure based on root mean square of trunk acceleration
... Root mean square (RMS) of acceleration is also seen frequently in gait analysis research [3-8,11,12,15-17]. This parameter constitutes a statistical measure of the magnitude of acceleration. Computation of ...
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Mean Square Convergent Finite Difference Scheme for Stochastic Parabolic PDEs
... Stochastic partial differential equations (SPDEs) describe the dynamics of stochastic processes depending on space-time continuum. These equations have been widely used to model many ap- plications in engineering and ...
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Root Mean Square Displacements of Atoms in the B2 Phase of Titanium Nickelide
... find mean squares of displacements of atoms Ni and Ti concerning a reflecting ...the mean square of displacements of the same atoms concerning a crystallo- graphic plane (hu s 2 i) is isotropic ...
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Distribution of Diffusion Measures from a Local Mean-Square Displacement Analysis
... The analysis of single-particle-tracking experiments is im- portant to reveal valuable information about intracellular trans- port processes and the complex dynamics of the cytoskeleton. Here, mean-square ...
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Mean square exponential and non exponential asymptotic stability of impulsive stochastic Volterra equations
... The mean square stability of the zero solution of the impulsive stochastic Volterra equation is studied by using obtained inequalities on Liapunov function, including mean square exponential ...
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ECG Signal Denoising by Using Least Mean Square and Normalised Least Mean Square Algorithm Based Adaptive Filter R Karthika, K Narender & Dr B R Vikram
... least mean square (LMS) algorithm showgood performance for process- ing and analysis of signal whichare non-stationary ...least mean square (NLMS)filter to denoise the ECG ...
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Mean Square Cordial Labeling of Some Snake Graphs
... on mean square cordial ...of mean square cordial and they have investigated the same for some special graphs in [5,6,7] Dhanalakshmi et al explored some ideas on mean square ...
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Least Mean Square (LMS) for Smart Antenna
... Abstract The demand for increased capacity in wireless communication networks has motivated recent research activities toward wireless systems that exploit the concept of smart antenna and space selectivity. Efficient ...
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RMSE (Root Mean Square Error), respectively.
... Daily 615.33 771.54 Weekly -11.19 6.94 Monthly 1.64 -11.91 Quarterly 11.37 -0.98 From Table 1, we can see that the ARIMA model can represent monthly and quarterly series, whereas the ARMA model can represent daily and ...
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Sharp bounds for Seiffert mean in terms of root mean square
... Sharp bounds for Seiffert mean in terms of root mean square Yu-Ming Chu1*, Shou-Wei Hou2 and Zhong-Hua Shen2 * Correspondence: [email protected] 1 Department of Mathematics and [r] ...
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On a sum analogous to Dedekind sum and its mean square value formula
... where a defined by equation aa ≡ 1 modk. Then he suggested to study the arithmeti- cal properties and mean value distribution properties of C(h, k). About first problem, we have not made any progress at present. But ...
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Motion Object Detection Using Mean Square Error Method
... Abstract :- Smart CCTV (Closed-Circuit Television) technology has increasingly been developed in the last few years to judge the situation and notify the administer or take immediate action for security and surveillance ...
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ABSTRACT : Adaptive filter algorithm is a widely used method in communication systems, control systems, digital
... Least Mean Square (LMS) and Recursive Least Square (RLS) ...Least Mean Square (LLMS) Algorithm and Normalized Least Mean Square (NLMS) ...
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Comparative Study of Adaptive Filter Algorithm of a QO-STBC Encoded MIMO CDMA System
... In this study MATLAB-SIMULINK based QO-STBC encoded MIMO CDMA system for LMS, NLMS and RLS adaptive filter algorithms are compared on the basis of convergence speed and root mean square error (RMSE). It has ...
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An Arzela Ascoli type theorem for random functions
... That is, assume that a linear combination of n uncorrelated families of random functions each of which is uniformly bounded in mean square and equicontinuous in mean square sense has at [r] ...
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