3 results about "Channel integration" patented technology

Embodiments of the present application provide an image recognition method, the method comprising: constructing a neural network model, and training the neural network model through pre-acquired sample image data to obtain an image recognition model, the neural network model being composed of an input layer, a plurality of image feature capturing modules, a full connection layer, and an output layer in series; wherein the image feature capturing module is composed of a first channel integration module, a first convolution module, a feature map splicing module, a second channel integration module, a spatial attention module, a first activation layer, a second convolution module, and a second activation layer in series; acquiring an image to be recognized, inputting the image to be recognized into the image recognition model; and outputting a classification result of the image to be recognized recognized by the image recognition model. The technical solution of the embodiments of the present application can improve the applicability of image recognition based on a neural network model.

The application discloses a multi-modal medical image fusion method and system of a multi-channel integrated network, and the method comprises the following steps: acquiring multi-modal medical images to be fused; introducing a dense residual block to construct a multi-scale multi-channel image fusion network model; inputting the multi-modal medical images to be fused into the multi-scale multi-channel image fusion network model for fusion processing, and outputting fused multi-modal medical images. The system comprises an acquisition module, a construction module and a fusion module. By using the application, different and complementary information in original multi-modal medical images can be fused into one image, and better image fusion results can be achieved. The application can be widely applied to the technical field of image processing.

The application discloses a kind of target-oriented photovoltaic receiver light communication and energy integration system limited dynamic range constraint emission waveform design method, first generate MLS sequence, simultaneously to the original signal of input PAM modulation obtains PAM sequence, PAM sequence is as slow envelope to MLS sequence mean envelope modulation, and the alternating current signal after envelope modulation is obtained, direct current bias B is superimposed in the alternating current signal to constitute the final emission waveform.The application B determines reference light intensity and effective AC budget.In available budget, communication level interval and perception MLS amplitude are determined by amplitude allocation factor ρ together.Under fixed AC budget, ρ determines the trade-off between communication and perception, and B determines the upper limit of feasible dynamic range.The application makes full use of limited amplitude resources, realizes low-bandwidth photovoltaic receiver-oriented efficient information extraction, accurate echo perception and stable energy transmission, and realizes flexible coordination of communication and energy functions.