An axial piston pump fault diagnosis algorithm based on empirical wavelet transform (EWT) and one-dimensional convolutional neural network (1D-CNN) is presented. The vibration signals pressure of are taken as the analysis objects. Firstly, original decomposed by EWT, each signal component screened reconstructed according to energy characteristics. Then, time-domain features frequency-domain den...

We present analytical and experimental results for the scal-ability of 2-D discrete wavelet transform algorithms on coarse-grained parallel architectures. The principal operation in the 2-D DWT is the ltering operation used to implement the lter banks of the 2-D sub-band decomposition. We derive analytical results comparing time domain and frequency domain parallel algorithms for realizing the ...

We present analytical and experimental results for the scalability of 2-D discrete wavelet transform algorithms on coarse-grained parallel architectures. The principal operation in the 2-D DWT is the filtering operation used to implement the filter banks of the 2-D subband decomposition. We derive analytical results comparing time domain and frequency domain parallel algorithms for realizing th...

In order to better extract and study the characteristics of wind speed in time-domain frequency-domain, so as solve randomness frequency-domain complexity problems signal, a combined short-term prediction model (WD-VMD-DLSTM-AT), which is based on two-stage decomposition (WD + VMD), double long-short-term memory network (DLSTM) attention mechanism (AT), proposed; this basis, multi-input multipl...

Kirchhoo migration operator is a highly oscillatory integral operator. In our previous work (see \Seismic Imaging in Wavelet Domain", Wu and Yang 1], 1997), we have shown that the matrix representation of Kirchhoo migration operator for homogeneous background in space-frequency domain is a dense matrix, while the compressed beamlet-operator, which is the wavelet decomposition of the Kirchhoo mi...

A new derivation is presented for the least squares solution of the design problem of 2-D FIR filters by minimizing the Frobenius norm of the difference between the matrices of the ideal and actual frequency responses sampled at the points of a frequency grid. The mathematical approach is based on the singular value decomposition of two complex transformation matrices. Interestingly, the design...

Ambient vibration test is one of the most applicable and reliable methods among vibration tests due to recently fast evolvement of measurement, sensor technologies and data processing, and economical benefit as well. Modal identification methods of the ambient vibration structures are output-only identification techniques which have commonly been branched into either the frequency domain or the...

This paper deals with parallel analysis of an electromagnetic problem for frequency-dependent materials. The solution of the linear wave equation is achieved using the finite element time domain method. A multi-pole Debye model approximates the memory of the dispersive material. The time-domain convolution is explicitly calculated using the integration by parts method. The linear recursive tech...

The Fractional Fourier Transform is a generalized form of Fourier Transform, which can be interpreted as a rotation by angle ? in time-frequency plane or decomposition of signals in terms of chirps. However it fails in locating Fractional Fourier Domain Frequency contents. Short-time FRFT variants are suitable for analysis of multicomponent and non-linear chirp signals with improved time-freque...