this paper uses a new type of FRI (Finite Rate of Innovation) sampling pattern based Sub-Nyquist sampling model breaked through Shannon theorem that it can get accurate signal reconstruction based on signal information rate, which requires the sampling frequency lower than two times the max signal frequency. We apply the new model in the ultrasonic phased array industrial imaging. In the experiment, ultrasonic phased array realized dynamic focusing and the high speed scan by ultrasonic array transducer of various array time delays to get flexible controllable synthesis beam composed signals that received by 32 phased array elements . The results indicate that in the model it greatly reduces the signal sampling frequency and improves the signal-to-noise ratio, frequency resolution at the same of the beam focusing and steering flexible.
According to the unique advantages in image processing combining wavelet and fractal and the different ways of combination, a super-resolution image processing methods are proposed. The methods are characterized by combining the wavelet transform, Wavelet Image Interpolation and FBM Fractal Image interpolation in a certain way to achieve super-resolution image reconstruction. Through processing MAG welding pool images polluted by noises seriously, the results show that: the method proposed in this paper, compared with the method based on wavelet bilinear interpolation, not only effectively raises MAG welding image resolution, but also PSNR of reconstruction images are enhanced 21.1049 dB.
This paper presents a novel algorithm which concerns with the fast implement of blind image deblurring with a well-reconstructed original image. Firstly, we model both the original image and the blur utilizing the harmonic model in the Sobolev image space, based on which, the prior distributions of them are obtained; Secondly, the Gamma distribution is used as the prior distributions of the unknown parameters to incorporate more prior knowledge for blind image deblurring; Finally, we estimate the original image, the blur and the unknown parameters simultaneously and iteratively by the evidence analysis method. The experimental results show the efficiency and the competitive performance compared of the proposed algorithm with existing blind image deblurring methods.
Ultrasonic transcutaneous energy transfer (UTET) may be a preferable technology due to its power transfer efficiency, compactness and electromagnetic immunity. A novel wireless UTET scheme is proposed based on phased array technology to improve the transferring efficiency. A finite element method (COMSOL Multiphysics) is applied to investigate the properties of the phased array UTET for optimized design. The effects of transducer element number and designed focusing depth were studied on the acoustic field and the receiving transducer's voltage amplitude.
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