The poor denoising effect for noisy grayscale images with traditional processing methods would be obtained under strong noise condition, and some image details would be lost. In this paper, a parallel array model of Fitzhugh–Nagumo (FHN) neurons was proposed, which can restore noisy grayscale images well with low peak signal-to-noise ratio (PSNR) conditions and the image details are better preserved. Firstly, the row-column scanning method was used to convert the 2D grayscale image into a 1D signal, and then the 1D signal was converted into a binary pulse amplitude modulation (BPAM) signal by signal modulation. The modulated signal was input to an FHN parallel array for stochastic resonance (SR). Finally, the array output signal was restored to a 2D gray image, and the image restoration effect was analyzed based on the PSNR and Structural SIMilarity (SSIM) index. It is shown that the SR effect can be exhibited in an array of FHN neuron nonlinearities by increasing the array size, and the image restoration effect is significantly better than the traditional image restoration method, and larger PSNR and SSIM can be obtained. It provides a new idea for grayscale image restoration in a low PSNR environment.
Summary
In this article, aiming at the problems of stochastic disturbance and iron losses for the position tracking of permanent magnet synchronous motors (PMSMs), a finite‐time adaptive fuzzy command filter control (CFC) method is proposed. First, the fuzzy control method is applied to dispose of the stochastic nonlinear function in the motor model. Second, the problem of “explosion of complexity” in backstepping control is solved by using CFC technology, and the compensation signal is introduced to eliminate filtering error. Moreover, the finite‐time control method is applied to the stochastic nonlinear system of PMSMs to improve the convergence speed of the system, tracking accuracy, and anti‐interference ability. At last, the simulation results are given to verify the method can achieve fast tracking of the desired signal.
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