3results about How to "Simplified Computational Complexity" patented technology

The application discloses a power electronic distribution network transformer propagation model optimal adaptation method and system, and the method comprises the following steps: calculating transformer winding leakage inductance and winding resistance, and transformer excitation inductance and excitation resistance; estimating the equivalent value of each link distributed capacitance; deducing the propagation coefficient of the high-frequency transformer model and the low-frequency transformer model at any frequency under the excitation source; calculating the relative deviation amount of the corresponding propagation coefficient of the high-frequency transformer model and the low-frequency transformer model at different frequencies in the required frequency band of the simulation scene; obtaining the maximum value of the relative deviation amount of the propagation coefficient under all conditions in the required frequency band of the simulation scene; when all the maximum values of the relative deviation amount of the propagation coefficient are less than the set relative deviation limit value, the low-frequency transformer model is selected for the simulation scene, otherwise the high-frequency transformer model is selected; the application has the advantages that the optimal selection of the transformer model is performed under the consideration of the simulation efficiency and accuracy requirements.

The application discloses an image feature extraction method and an image noise reduction method and related devices, and belongs to the technical field of image processing. The application can strengthen the connection between the local area and the global information of the features from the progressive angle of the large local receptive field and the global receptive field, so that the feature extraction method based on the self-attention mechanism can still capture the long-distance pixel dependence while reducing the calculation complexity, can well remove the image noise in the image noise reduction task based on the pixel level, and can maximize the retention of the detail information of the image.