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Simulated Signal Results using parametric method

A Complexity-Reduced ML Parametric Signal Reconstruction Method

A Complexity-Reduced ML Parametric Signal Reconstruction Method

... alternative method, which iterates amplitude and phase parameters separately, is ...proposed method reduces the computational complexity and convergence time ...by using the proposed method ...

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Estimation of dynamic latent variable models using simulated non-parametric moments

Estimation of dynamic latent variable models using simulated non-parametric moments

... Under regularity conditions, we derive the convergence rate of the SNM estimator and establish a higher-order expansion of the estimator relative to the infeasible GMM estimator assuming that the conditional moments can ...

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An Efficient Localization Method Using Signal Reconstruction

An Efficient Localization Method Using Signal Reconstruction

... simulation results show that the proposed DPD-enhanced algorithm significantly outperforms the DPD-unknown algorithm and can achieve the nearly same localization performance as the DPD- known algorithm when the ...

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Arrhythmia ECG Signal Analysis using Non Parametric Time Frequency Techniques

Arrhythmia ECG Signal Analysis using Non Parametric Time Frequency Techniques

... modulation signal will be presented. After that, the analysis results of the three time- frequency techniques over a supraventicular ECG signal we will ...main results presented in this ...

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An Effective Method for Multi biometric Fusion using Simulated Annealing

An Effective Method for Multi biometric Fusion using Simulated Annealing

... In this paper, we propose an effective method for decision level fusion of biometrics using simulate annealing. Based on our exper- imental study [10] [9] it has been observed that Iris and Fingerprint ...

7

Cash and profit efficient in Malaysia and South Korea listed company using non-parametric DEA method and parametric regression method

Cash and profit efficient in Malaysia and South Korea listed company using non-parametric DEA method and parametric regression method

... the results for low-cash holding firms in Bursa Malaysia as presented in Table 9, Model 1 shows that the lagged capital expenditure and firm size are significant with negative ...the results seen are akin ...

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Parametric Method Based PSD Estimation using Gaussian
Window

Parametric Method Based PSD Estimation using Gaussian Window

... cases parametric approach of spectrum estimation outperforms the nonparametric ones and helps in producing high resolution spectral ...Also, parametric methods are more accurate and computationally more ...

5

Comparison of reliability techniques of parametric and non-parametric method

Comparison of reliability techniques of parametric and non-parametric method

... rate using many ...as parametric method and non-parametric ...This method is very easy to use. The limitation of this method is that the results cannot be accurately ...

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Solving ill-conditioned linear equations using Simulated Annealing method

Solving ill-conditioned linear equations using Simulated Annealing method

... to using the Simulated Annealing method to solving a linear equations system which have an ill-conditioned coefficients ...By using a matrix scaling, the linear equation system transforms into ...

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Parametric Optimization on single objective Dry  Turning using Taguchi Method

Parametric Optimization on single objective Dry Turning using Taguchi Method

... Fig 4. Residual analysis of Material removal rate The diagnostic checking has been performed through residual analysis for the developed model. The residual plots for Material removal rate are shown in Fig. 4. These are ...

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Experimental results of a terrain relative navigation algorithm using a simulated lunar scenario

Experimental results of a terrain relative navigation algorithm using a simulated lunar scenario

... The paper delals with the problem of the navigation of a lunar lander based on the Terrain Relative Navigation approach. An algorithm is developed and tested on a scaled simulated lunar scenario over which a ...

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A Method for Complete Decomposition of a Multiple Tone Signal using a DFT

A Method for Complete Decomposition of a Multiple Tone Signal using a DFT

... magnitude using the equations in the previous ...exact results, a different approach needs to be ...tone using (23), (33), or (40), Linear Algebra techniques can be ...

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R–Peak Detection of ECG Signal using Thresholding Method

R–Peak Detection of ECG Signal using Thresholding Method

... As from theabove table, we can see that thresholding is a simple technique and takes lesser time to give the results,therefore, the proposed method used for detecting R-peak for heart rate detection is ...

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Feature extraction of vibration signal using OMP-NWE method

Feature extraction of vibration signal using OMP-NWE method

... OMP-NWE method of feature extraction is proposed, aiming at the problem of low accuracy of existing feature extraction ...OMP-NWE method integrates the strengths of orthogonal matching pursuit (OMP) ...

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Erratum to “Adaptive Control of DC DC Converter Using Simulated Annealing Optimization Method” [Journal of Signal and Information Processing, (2014), 5, 198 207]

Erratum to “Adaptive Control of DC DC Converter Using Simulated Annealing Optimization Method” [Journal of Signal and Information Processing, (2014), 5, 198 207]

... The use of fuzzy control in DC-DC converters is compared with several control methods like hysteresis and sliding mode method. One of the disadvantages of this fuzzy control is there is no procedure for designing ...

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Adaptive Control of DC DC Converter Using Simulated Annealing Optimization Method

Adaptive Control of DC DC Converter Using Simulated Annealing Optimization Method

... digital signal using ADC, then it is subtracted from a reference voltage to be fed to a controller; this will generate the control signal of the PWM and the PWM signal will drive the ...

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Parametric Optimization Of Abrasive Waterjet Machining (AWJM) On Aluminium Using Taguchi’s Method

Parametric Optimization Of Abrasive Waterjet Machining (AWJM) On Aluminium Using Taguchi’s Method

... Water jet cutting machines started to operate in the early 1970s for cutting wood and plastics material and cutting by abrasive water jet was first commercialized in the late 1980s as a pioneering breakthrough in the ...

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Modelling health state preference data using a non-parametric Bayesian method

Modelling health state preference data using a non-parametric Bayesian method

... algorithm using Bayesian ...population using standard gamble. The paper presents the results from applying the nonparametric model and compares these to the original model estimated using a ...

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A parametric study on the accuracy of bending in micro W-bending using Taguchi method

A parametric study on the accuracy of bending in micro W-bending using Taguchi method

... experimental results were analyzed using signal-to-noise (S/N) ratio and the analysis of variance ...developed using the regression ...experimental results, indicating the adequacy of ...

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Parametric Optimization of Stainless Steel 304 for MIG Welding by using Taguchi’s Method

Parametric Optimization of Stainless Steel 304 for MIG Welding by using Taguchi’s Method

... welding techniques used in industries. The input parameter in MIG welding play a significant role in deciding the weld quality, strength, cost and speed. Most of the time manufacturer faces a problem to select optimum ...

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