(Method) First, the discrete wavelet transform (DWT) is used for extracting texture features from the brain images, and then the principle component analysis (PCA) is employed to decrease the dimension of features. Second, the Multi-Layer Perceptron (MLP) is used as a classifier. Traditional ...
With ATrousWaveletTransform you can perform a hierarchical decomposition of an image into a series of scale layers, also known as wavelet planes. Each layer contains only structures within a given range of characteristic dimensional scales in the space of a scaling function. The decomposition is don...
Dashtdar M, Dashtdar M (2019) Fault location in the transmission network using a discrete wavelet transform. J Electr Comput Eng 3(1):30–37 Google Scholar Deng J, Guo J, Xue N, Zafeiriou S (2019) Arcface: Additive angular margin loss for deep face recognition. In: Proceedings of the...
Gear dynamics monitoring using discrete wavelet transformation and multi-layer perceptron neural network Sanz J, Perera R, Huerta C (2012) Gear dynamics monitoring using discrete wavelet transformation and multi-layer perceptron neural networks. Appl Soft ... J Sanz,R Perera,C Huerta - 《Applied ...
In this study, the influence of the measurement noise in LDV measurements were considered, and how to remove the noise using Complex Discrete Wavelet Transform (CDWT) was proposed. Then turbulent velocity in the combustion chamber measured with an LDV was analyzed. The major results can be summa...
The method of Short-Time Fourier analysis involves application of Short-Time Fourier transform (STFT) giving time–frequency information. The method of continuous wavelet analysis involves application of Continuous Wavelet transform (CWT) giving signal information in terms of scale and time where ...
On the basis of JPEG 2000,a new generation of image compression standard,a new type of structure introducing the both high efficient and rapid VLSI with the multi-layer 5/3 wavelet transform is presented.It is realized by two groups of one-dimension transform and operated by phase adding inst...
On the using of discrete wavelet transform for physical layer key generation 热度: Optimized scalable wavelet based codec designs for semi regular 3d meshes 热度: COMPLETE-TO-OVERCOMPLETEDISCRETEWAVELET TRANSFORMSFORSCALABLEVIDEOCODINGWITHMCTF YiannisAndreopoulos ...
Whereas the performance of the core layer was satisfactory, the higher speech quality by the addition of the enhancement layer which employed the modified discrete cosine transform (MDCT) was desired. We propose the utilization of the DWT instead of the MDCT to encode the core-layer coding error...
Model overfitting was prevented by assigning a dropout layer to each hidden layer. The number of hidden neurons and the associated dropout rates in the 1st, 2nd, and 3rd hidden layers were selected upon several iterations. The optimal numbers of hidden neurons were 100, 50, and 20 for the ...