Simulation on time delay estimation of EM waves emitted from PD using constrained interpolation profile (CIP) method and cross-correlation method based on in-place fast Haar wavelet transform

2009 ◽  
Author(s):  
Masatake Kawada
Keyword(s):  
Wavelet Transform ◽  
Time Delay ◽  
Cross Correlation ◽  
Correlation Method ◽  
Haar Wavelet ◽  
Time Delay Estimation ◽  
Delay Estimation ◽  
Cip Method ◽  
Constrained Interpolation ◽  
Haar Wavelet Transform

The Algorithm of Acoustic Location for Boiler Tube Leakage

2010 ◽  
Vol 97-101 ◽  
pp. 3024-3027
Author(s):  
Peng Tong ◽  
Lian Suo An ◽  
Gen Shan Jiang ◽  
Yu Qing Wang
Keyword(s):  
Time Delay ◽  
Cross Correlation ◽  
Accurate Result ◽  
Correlation Method ◽  
Estimation Algorithm ◽  
Time Delay Estimation ◽  
Delay Estimation ◽  
Value Of Time ◽  
Noise Power ◽  
Boiler Tube

The time delay estimation algorithm based on generalized cross correlation, can suppress the noise power effectively. More accurate result can be gotten by this method of time delay estimation. It is proved by simulation and experimentation that the estimated value of time delay given by generalized cross correlation method is more accurate than which is given by basic correlation method when the signal and noise ratio is stationary, thus the location result based on the time delay is more accurate.

Time Delay Estimation in Reverberant Environment Based on Acoustic Pyrometry

2014 ◽  
Vol 635-637 ◽  
pp. 811-814
Author(s):  
Shi Ping Zhang ◽  
Guo Qing Shen ◽  
Lian Suo An
Keyword(s):  
Time Delay ◽  
Cross Correlation ◽  
Random Sequence ◽  
Sound Field ◽  
Correlation Method ◽  
Time Delay Estimation ◽  
Delay Estimation ◽  
Temperature State ◽  
Source Signal ◽  
Reverberant Environment

The acoustic thermometry has many advantages, compared with conventional methods of temperature measurements. For this technology, the sound field in normal temperature state of the boiler was simulated; acoustic source signal obtained the pseudo random sequence signal and time delay estimation selected the weighted cross-correlation method. Experiments show that when the boiler is not running, the sound field is enclosure sound field in the furnace. The weighted cross-correlation method can restrain the reverberation and obtain the accurate time delay estimation.

scholarly journals Wavelet transform-based cross-correlation in the time-delay estimation applications

2021 ◽  
Vol 2142 (1) ◽  
pp. 012019
Author(s):  
S B Sharkova ◽  
V A Faerman
Keyword(s):  
Wavelet Transform ◽  
Time Delay ◽  
Cross Correlation ◽  
Fourier Transforms ◽  
Time Delay Estimation ◽  
Delay Estimation ◽  
Practical Case ◽  
Discrete Fourier Transforms ◽  
Time Frequency ◽  
Dyadic Wavelet

Abstract The article discusses the application of wavelet analysis for the time-frequency time-delay estimation. The proposed algorithm is wavelet transform-based cross-correlation time delay estimation that applies discrete time wavelet transform to filter the input signal prior to computation of cross-correlation function. The distinguishing feature of the algorithm that it uses the variation of continuous wavelet transform to process the discrete signals instead of dyadic wavelet transform that is normally applied to the case. Another feature that the implication of convolution theorem is used to compute coefficients of the wavelet transform. This makes possible to omit redundant discrete Fourier transforms and significantly reduce the computational complexity. The principal applicability of the proposed method is shown in the course of a computational experiments with artificial and real-world signal. So the method demonstrated expected selectivity for the signals localized in the different frequency bands. The application of the method to practical case of pipeline leak detection was also successful. However, the study concluded that this method provides no specific advantages in comparison with the conventional one. In the future, alternative applications in biological signal processing will be considered.

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