The advancement of digital holography in the past 2 decades has enabled precise capturing of three-dimensional (3-D) images of physical objects. This important technology has been widely applied in numerous industrial sectors such as, but not limited to remote sensing, metrology, bio-medical imaging, advertising, and entertainment. Most of the hologram acquisition techniques developed to date are employing digital cameras for recording the hologram, hence imposing rigid restrictions on the size and resolution of the captured 3-D image. This limitation, however, is not found in optical scanning holography (OSH). Based on a scanning mechanism and a single pixel sensor, OSH is capable of capturing digital holograms of both macroscopic and microscopic, as well as fluorescent objects with high precision. Since its invention in the late 70s, numerous research works have been conducted to enhance this technology, optimizing important factors such as acquisition speed, precision, data size, and security. The objective of this review paper is to provide a walkthrough of the state-of-the-art of the OSH technology, from its original principle, to different variants that have been developed over the years with emphasis on their feature extraction capabilities under the incoherent mode of operation. Whenever possible, we shall provide the key formulations of each approach, and experimental outcomes for demonstrating the pros and cons of the method.

In this research, the accuracy of image classification with Fourier Ptychography Microscopy (FPM) has been systematically investigated. Multiple linear regression shows a strong linear relationship between the results of image classification accuracy and image visual appearance quality based on PSNR and SSIM with multiple training datasets including MINST, Fashion MNIST, Cifar, Caltech 101, and customized training datasets. It is, therefore, feasible to predict the image classification accuracy only based on PSNR and SSIM. It is also found that the image classification accuracy of FPM reconstructed with higher resolution images is significantly different from using the lower resolution images under the lower numerical aperture (NA) condition. The difference is yet less pronounced under the higher NA condition.

Optical scanning holography (OSH) is a variant of two-pupil heterodyning image processing. We investigate the use of one pupil as a delta function and the other being an annulus as an extended application of OSH.

GaN, as the third generation semiconductor material, has attracted much attention because of its superior properties. The GaN equivalent circuit model is the basis of microwave device characteristics research and circuit design optimization. Fast extraction of circuit model parameters by optimization algorithm can accurately establish the device model. This paper presents an efficient genetic optimization algorithm to quickly extract GaN equivalent circuit parameters and obtain the optimal values of model parameters with ADS software. Considering the non-linearity in the large signal circuit model, based on the measured I-V and C-V characteristics curves under different bias voltage, the parameters in the non-linear model are extracted by using genetic algorithm, and the simulation results are compared with the measured results[3]. The comparison results are expressed in the range of 0.1~40GHz, and the model fits well. The accuracy of the proposed parameter optimization method is verified.

With the increase of power and frequency, the internal electromagnetic environment of microwave active circuits is becoming more and more complex. It is urgent to strengthen the research of electromagnetic field-circuit coupling simulation and accurately analyze the electromagnetic characteristics of complex microwave active circuits. In this paper, a discontinuous Galerkin time domain method (DGTD) based on tetrahedron and hexahedron hybrid partition is proposed to analyze the electromagnetic characteristics of complex microwave active circuits. This method can effectively realize the coupling of electromagnetic field and circuit through numerical flux, and effectively reduce the computational unknowns and improve the computational efficiency through the tetrahedral hybrid subdivision method. The numerical results are in good agreement with those in references, which verifies the accuracy of the proposed method.