Wavelet analysis is introduced to filter the residual error and extract the actual deformations, which is similar to de-noising in signal processing.
The 1/f spectrum representation achieved for the generated noise samples, shows that this proposition is very promising for the investigation of the low-frequency noise effect in signal processing techniques, devices and systems.
The MUDW scheme is developed based on the morphological wavelet (MW) theory for both the extraction of impulse features and noise smoothing in signal processing.
His research interests include engine noise and vibration signal processing.
As the final step, an exponential smoother for the gain function αm, i is described by the following equation: {overset{frown }{alpha}}_{m,i}=left 1-0.9right){alpha}_{m,i}+0.9{overset{frown }{alpha}}_{m-1,i}, (7 which is used to prevent the generation of "music noise" during the signal processing.
Very likely small external gradients are amplified by numerous internal mechanisms in order to cut off noise for further signal processing [ 461].
Since each laser profile acquired by 3D laser detection system has its own characteristic in terms of profile shape, crack shape, the number of cracks and signal-to-noise ratio, the signal processing techniques are adapted to each laser profile to extract the features of the crack.
Signal processing in noisy area: Due to the presence of large amplitude noise, it is difficult for existing signal processing techniques to process the noisy data in smart power grid with acceptable signal quality.
where (sigma _{s,j,k}^{2}) is the signal processing noise power at User- (j,k) that is because additional circuit noise is present due to phase offsets and non-linearities which is usually modeled as AWGN with zero mean and variance (sigma _{s,j,k}^{2}).
