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The topic of estimating a noise-free real or complex sinusoid's frequency, based on fast Fourier transform (FFT) samples, has been presented in recent blogs here on dsprelated.com. For completeness, it's worth knowing that simple frequency estimation algorithms exist that do not require FFTs ...
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Figure 3(b) also shows an F-value curve for the 7-gate IEM with a total count of 1024 (IEM is a biased estimator and the quantization error which comes to effect at τ < 0.1T (for M = 7) is included in the F-value curve as in [42]. Without considering the impact of the ...
(MLLR) [5], maximum likelihood linear transform (MLLT) [6], parallel model combination (PMC) [7], minimum mean square error log-spectral amplitude estimator (MMSE-LSA) [8], stochastic vector mapping (SVM) [9], and multi-environment model-based linear normalization [10], just to name a...
A prospective avenue involves the implementation of the robust correlation dimension estimator proposed by [80], utilizing the Gaussian kernel correlation integral [81]. This innovative approach promises a meticulous exploration into whether the examined time series might manifest chaotic behavior. Should ...
More specifically, the Restorer restores an HR image based on the predicted Estimator’s kernel, and the Estimator estimates a blur kernel with the help of the restored HR image. Some blind SR techniques train a unique degradation-aware network (for multiple kernels) on external datasets like ...
To achieve better performance, an elementary signal estimator is utilised at the receiver. Multiplexing is performed in the power domain in PD-NOMA. At the transmitter, signals from various users are superimposed by assigning the user’s power with identical subcarriers, and the succeeding signal ...