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Deep learning-based high-speed railway communication systems. [PDF]
Ha DV, Chien TV, Ngo HQ.
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Digital Demodulation Method and Application of a PWM-Excited Differential Self-Inductive Displacement Transducer. [PDF]
Guo H, Shi B, Chen H, Liu B.
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Sampled-data Control Theory and Signal Processing
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Sampling and processing of color signals
IEEE Transactions on Image Processing, 1996Digital signal processing tools are used to determine the proper sampling of color spectra and the effect of sampling on the accuracy of derived properties such as CIE tristimulus values and color rendering indexes. It is found that 10 nm sampling is adequate for most applications, but not for more exacting textile and paint matching applications ...
H. Joel Trussell, Manish S. Kulkarni
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Perfect sampling: a review and applications to signal processing
IEEE Transactions on Signal Processing, 2002Markov chain Monte Carlo (MCMC) sampling methods have gained much popularity among researchers in signal processing. The Gibbs and the Metropolis-Hastings (1954, 1970) algorithms, which are the two most popular MCMC methods, have already been employed in resolving a wide variety of signal processing problems.
Petar M Djuric, Yufei Huang
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A novel sampling method for CCD signal processing
2010 3rd International Congress on Image and Signal Processing, 2010In this paper, an efficient sampling method for CCD signal processing is proposed. A sampling clock is used, and its sampling clock is equal to the interval of the floating gate signal. Compared to the existing Correlated Double Sampling (CDS) method, this method saves a sampling clock and prevents the dislocation of the sampling clocks.
Lei Zhang, Hui Lin, R. Du
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Parallel Graph Signal Processing: Sampling and Reconstruction
IEEE Transactions on Signal and Information Processing Over Networks, 2023Daniela Dapena +2 more
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Additive random sampling for radar signal processing
2017 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC), 2017This paper gives an overview of challenges and opportunities in digital non-equidistant signal processing. It is pointed out that contrary to common thought non-equidistant signal processing might be of crucial interest to application, bringing important advantages for harmonics detection without having to consider Nyquist restrictions.
F. Particke +3 more
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