How to derive the optimum filter in presence of arbitrary noises, time-domain constraints, and shaped input signals: A new method

1997 ◽  
Vol 397 (2-3) ◽  
pp. 414-425 ◽  
Author(s):  
Alberto Pullia
Keyword(s):  
Time Domain ◽  
New Method ◽  
Input Signals ◽  
Optimum Filter ◽  
Domain Constraints

Estimating Optimum Filter Length in Linear Prediction

1997 ◽  
Vol 51 (5) ◽  
pp. 718-720 ◽  
Author(s):  
O.-P. Sievänen
Keyword(s):  
Raman Spectra ◽  
Prediction Error ◽  
Linear Prediction ◽  
Signal To Noise Ratio ◽  
New Method ◽  
Signal To Noise ◽  
Filter Length ◽  
Optimum Filter ◽  
Good Signal ◽  
Prediction Filter

In this article a new method to estimate optimum filter length in linear prediction is described. Linear prediction was used to enhance resolution of a spectrum. In particular, the dependence of prediction error on filter length has been studied. With calculations of simulated spectra it is shown that the prediction error falls rapidly when the filter length attains its optimum value. This effect is quite pronounced when the spectrum has a good signal-to-noise ratio and the modified covariance method is used to calculate prediction filter coefficients. The method is illustrated with applications to real Raman spectra.

scholarly journals Synchronous machine parameter identification in frequency and time domain

2007 ◽  
Vol 4 (1) ◽  
pp. 51-69 ◽  
Author(s):  
M. Hasni ◽  
S. Djema ◽  
O. Touhami ◽  
R. Ibtiouen ◽  
M. Fadel ◽  
...  
Keyword(s):  
Time Domain ◽  
Synchronous Machine ◽  
Model Structure ◽  
Machine Parameter ◽  
Identification Procedure ◽  
Time Constants ◽  
Domain Identification ◽  
Salient Pole ◽  
Salient Pole Synchronous Machine ◽  
Input Signals

This paper presents the results of a frequency and time-domain identification procedure to estimate the linear parameters of a salient-pole synchronous machine at standstill. The objective of this study is to use several input signals to identify the model structure and parameters of a salient-pole synchronous machine from standstill test data. The procedure consists to define, to conduct the standstill tests and also to identify the model structure. The signals used for identification are the different excitation voltages at standstill and the flowing current in different windings. We estimate the parameters of operational impedances, or in other words the reactance and the time constants. The tests were carried out on synchronous machine of 1.5 kVA 380V 1500 rpm.

A new method for the generation of representative time-domain turbulence excitations

2015 ◽  
Vol 58 ◽  
pp. 1-19 ◽  
Author(s):  
Jose Antunes ◽  
Philippe Piteau ◽  
Xavier Delaune ◽  
Laurent Borsoi
Keyword(s):  
Time Domain ◽  
New Method

Quantitative, zerstörungsfreie Feuchtemessung in Baustoffen vor Ort mit der Time Domain Reflectometry / Quantitative, non-destructive moisture measurement in building materials on site by time-domain re ectometry

1999 ◽  
Vol 5 (6) ◽  
pp. 609-618
Author(s):  
M. Stacheder ◽  
G. Grassegger ◽  
F. Grüner
Keyword(s):  
Time Domain ◽  
Building Materials ◽  
Salt Content ◽  
Time Domain Reflectometry ◽  
New Method ◽  
Measuring Methods ◽  
Surface Moisture ◽  
Non Destructive ◽  
Floor Cover

Abstract A new commercially available dielectric technique for the non-destructive determination of moisture in building materials based on the principle of 'time-domain reflectometry' (TDR) is presented. TDR measurements on samples of sandstone, brick, concrete and floor cover matched very well with results of conventional moisture measuring methods such as oven-drying or calciumcarbide-technique. The new method showed only a low influence of salt content or surface moisture of the material on the results.

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