3results about How to "Guaranteed no distortion" patented technology

The present application relates to the technical field of infrared image processing, and provides an end-side lightweight infrared image denoising method and device and electronic equipment.The method comprises the following steps: acquiring an infrared image with noise to be processed; inputting the infrared image with noise into a target lightweight network trained in advance to output a predicted denoising image; the target lightweight network is obtained by optimization in a training stage based on a joint loss function; the joint loss function at least comprises a pixel-level reconstruction loss, a gradient domain sparse regularization loss and a vertical direction smoothing constraint loss; the gradient domain sparse regularization loss constrains a residual image between a reference image and the predicted denoising image, so that the residual image remains sparse in the gradient domain; the vertical direction smoothing constraint loss is used to calculate a difference value of adjacent pixels in the vertical direction of the predicted denoising image, and the difference value is punished to suppress horizontal stripe noise in the infrared image.The present application solves the contradiction between limited computing power and high-fidelity denoising.

The application relates to the technical field of oil exploration and development, and discloses a stratum blockage identification method and device based on oil and gas reservoir numerical simulation automatic history matching, which comprises the following steps: firstly, a three-dimensional numerical model of an oil and gas reservoir is established; then, dynamic and static characteristic parameters of a production stage of the oil and gas reservoir are used for automatic history matching; in the numerical simulation result, corresponding dynamic and static characteristic parameters of the production stage under the blockage condition are screened to establish a data set; further, a machine learning algorithm is used to establish an agent prediction model, and the data set is used to train the agent model; after the training is completed, the trained model is used to invert and identify main control factors causing the stratum blockage; finally, the main control factors are brought into the three-dimensional numerical model to perform automatic history matching, a non-dominated sorting genetic algorithm is used to optimize the numerical simulation result in a whole solution set space, and finally, an optimal solution set is obtained to identify the stratum blockage. The application can obtain a relatively accurate stratum blockage prediction result and greatly simplify the workload.

The utility model discloses a kind of dual-path voice simultaneous transmission wireless transceiving systems, including transmitting part and receiving part, the transmitting part includes sequentially connected low-frequency amplification circuit, frequency synthesis oscillation circuit, resonant hybrid circuit and impedance matching transmitting circuit, the receiving part includes sequentially connected signal receiving circuit, frequency modulation circuit, mixing frequency discriminator circuit and power amplifier circuit, the impedance matching transmitting circuit is connected with the signal receiving circuit communication, the low-frequency amplification circuit receives dual-path voice input signal, the power amplifier circuit outputs dual-path voice signal;The utility model is characterized in that: the immediacy of communication is higher.