Efficient mode decision scheme based on edge detection with Gaussian pulse for Intra-prediction in H.264/AVC

El-Mowafy, M.A.; Gharghory, Sawsan Morkos; Abo-Elsoud, M.A.; Obayya, Marwa; Allah, M. I. Fath

doi:10.1016/j.aej.2021.07.044

Cited by 4 publications

(1 citation statement)

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“…where a nm is the amplitude of the mth pulse of the nth group, and u(t) is the expression of the pulse waveform. Assuming that the single pulse waveform is Gaussian [24,25], u(t) can be expressed as…”

Section: Mathematical Model Of Ship Radiation Noise Modulation Spectrummentioning

confidence: 99%

Ship Shaft Frequency Extraction Based on Improved Stacked Sparse Denoising Auto-Encoder Network

Zhao

et al. 2022

Applied Sciences

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The modulation spectrum of ship radiated noise contains information on shaft frequency, which is an important feature used to identify ships and a key parameter involved in calculating the number of propeller blades. To improve the shaft frequency extraction accuracy, a ship shaft frequency extraction method based on an improved stacked sparse denoising auto-encoder network (SSDAE) is proposed. Firstly, the mathematical model of the ship radiated noise modulation spectrum is built and data simulation is carried out based on this model, combined with the actual ship parameters. Secondly, we trained the SSDAE model using the simulation data and made slight adjustments to this model by using both simulation and measured data to improve it. Finally, the experimental ship modulation spectrum information was input to the SSDAE model for denoising, enhancement, and regression estimation. Accordingly, the shaft frequency was extracted. The simulation and experimental results show that the shaft frequency extraction method based on the improved SSDAE model has high accuracy and good robustness, especially under the conditions of both missing line spectra and noise interference.

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Section: Mathematical Model Of Ship Radiation Noise Modulation Spectrummentioning

confidence: 99%