A new method for arcing fault location using discrete wavelet transform and wavelet networks

2011 ◽  
Vol 22 (5) ◽  
pp. 601-615 ◽  
Author(s):  
Sadegh Jamali ◽  
Navid Ghaffarzadeh
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Fault Location ◽  
New Method ◽  
Discrete Wavelet ◽  
Wavelet Networks ◽  
Arcing Fault

scholarly journals New method for denoising borehole transient electromagnetic data with discrete wavelet transform

2019 ◽  
Vol 168 ◽  
pp. 41-48 ◽  
Author(s):  
Xueping Dai ◽  
Li Zhen Cheng ◽  
Jean-Claude Mareschal ◽  
Daniel Lemire ◽  
Chong Liu
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
New Method ◽  
Discrete Wavelet ◽  
Electromagnetic Data ◽  
Transient Electromagnetic

AUDIO WATERMARKING WITH ANGLE QUANTIZATION BASED ON DISCRETE WAVELET TRANSFORM AND SINGULAR VALUE DECOMPOSITION

2018 ◽  
Vol 6 (2) ◽  
pp. 41-52
Author(s):  
Divya Chadar ◽  
Shailja Shukla
Keyword(s):  
Wavelet Transform ◽  
Singular Value Decomposition ◽  
Discrete Wavelet Transform ◽  
Auditory System ◽  
Audio Signal ◽  
Singular Value ◽  
New Method ◽  
Discrete Wavelet ◽  
Audio Watermark ◽  
Value Decomposition

An audio watermark is a unique electronic identifier embedded in an audio signal, typically used to identify ownership of copyright. Proposed work is a new method of audio watermark hiding inside another bigger cover standard audio cover. The method includes ‘harr’ wavelet based Discrete Wavelet Transform decomposition of frequencies hence the audio samples of watermark gets hidden only those parts of cover audio where human ears are less sensible according to Human Auditory System. Proposed method also includes the Singular Value Decomposition, which is required for making our method robust against the various communication of processing attacks like compression, filtering, fading or noise addition. Proposed work is also using the concept of angular modulation which initially modifies the audio watermark in to provide extra security and also extra robustness in communication. The design is been develop on MATLAB 2013b version and verification of design o the same. 

LOGO EXTRACTION USING COMBINED DISCRETE WAVELET TRANSFORM AND DYNAMIC STOCHASTIC RESONANCE

2013 ◽  
Vol 13 (01) ◽  
pp. 1350004
Author(s):  
RAJIB KUMAR JHA ◽  
PRABIR KUMAR BISWAS ◽  
B. N. CHATTERJI
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Stochastic Resonance ◽  
Signal Amplitude ◽  
Experimental Results ◽  
New Method ◽  
Discrete Wavelet ◽  
Noise Amplitude ◽  
Dynamic Stochastic Resonance ◽  
Dynamic Stochastic

In this paper, we have introduced a new method for watermark (logo) extraction from distorted watermarked images. The method is based on combined discrete wavelet transform (DWT) and dynamic stochastic resonance (DSR). In this method, the image property such as variance corresponding to the DWT coefficients of the image is tuned with the dynamic stochastic resonance parameters which causes resonance to the DWT coefficients. That is, the signal amplitude enhances and noise amplitude degraded in the DWT coefficients. This approach extracts hided logo from the distorted watermarked image which is almost very similar to the original logo. The experimental results have been compared with the existing techniques and were found to be superior.

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