vanishing moments is n,and have better time-frequency character,they can be widely used in diagnose fault,data compression,apart signal and noise and so on.While ascertain the initial scale value solve a problem of engineering achievement and research in theory for complex Gaussian wavelets ...
ay = awgn(x,snr) adds white Gaussian noise to the vector signal x. The scalar snr specifies the signal-to-noise ratio per sample, in dB. If x is complex, awgn adds complex noise. This syntax assumes that the power of x is 0 dBW. y = awgn( x, snr) 增加白色高斯噪声到传染媒介信...
Gaussian beam Gaussian blur Gaussian complex integers Gaussian Constant Gaussian curvature Gaussian curve Gaussian distribution Gaussian elimination Gaussian error Gaussian Formulas Gaussian gravitational constant Gaussian integer Gaussian noise Gaussian noise generator ...
To yield more accurate results for real complex noise, we employ a recently proposed physics-based noise model (Wei et al., 2020, 2021), instead of the widely used Poissonian-Gaussian noise model (i.e., heteroscedastic Gaussian model (Foi et al., 2008)). It can accurately characterize ...
Next, the emission signals will be distorted by a nonlinear PA, and finally, go through the channel by adding complex Gaussian noise in the receiver. In the receiver, the contaminated signals will be demodulated into binary bits and get decoded. Figure 1 System model. Full size image 2.1 ...
[t] is the message sent byTp, andstands for the complex additive white Gaussian noise at nodejwith variance, whereN0is the one-sided noise power spectral density. We assume hereafter to beD=1. The quasi-static fading channels are denoted byhij, and all channels undergo independent, ...
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For any complex number s, the resolvent operator maps the function g to the Laplace transform of the map \(t\mapsto {\mathbb{T}}(t)g\) $${\mathbb{R}}(s)g(x)=\int\nolimits_{0}^{\infty }{e}^{-st}{\mathbb{T}}(t)g(x)dt.$$ (6) ...
Furthermore, brain cells often are not organized into regular grids but interwind in complex ways. On the other hand, SCMS data acquired from individual cells dissociated from brain tissues provide cell-specific mass spectra but with limited spatial information. To integrate these two types of ...
By taking into account the complex velocity discontinuities (i.e., the Conrad, the Moho, and the subducting slab upper boundary), we can obtain more accurate ray paths and get a better tomographic model23,24,25,47. To evaluate whether uncertainties of these discontinuities could affect the mai...