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97results about How to "Simplify the coding process" patented technology

Full-rate distributed type multi-antenna bi-directional wireless cooperative relay transmission method

A full-rate distributed type multi-antenna bi-directional wireless cooperative relay transmission method is suitable for a universal bi-directional relay communication network, wherein two communication source nodes and all relay nodes of the universal bi-directional relay communication network are respectively provided with a plurality of antennas. Information transmission between the nodes is carried out in an orthogonal frequency division multiplexing mode. A data communication process comprises two stages, wherein firstly, the communication source nodes conduct joint encoding on symbols to be transmitted in all sub-carriers and a plurality of time slots respectively and broadcast the encoded symbols to the relay nodes; secondly, each relay node conducts circular delay on received modulating signals in a time domain firstly, then the antennas on each relay node transmit processed signals to the communication source nodes sequentially in a time division working mode, and according to encoding and transmitting criterions, one source node obtains data transmitted by the other source node after eliminating signal interference of the former source node. The full-rate distributed type multi-antenna bi-directional wireless cooperative relay transmission method has the advantages that the expansibility is good, an encoding process is simple and easy to design, full-rate transmission can be achieved, the detection complexity is low, and very high application value is achieved.
Owner:ANHUI UNIVERSITY

Plant cultivation method based on intelligent data collection and the cloud service technology

The invention discloses a plant cultivation method based on intelligent data collection and cloud service technology. The method comprises: S1, collecting plant growth indicators, the watering amount,the fertilization amount and the fertilization type, forming an influence factor matrix X, and uploading to the cloud server, wherein the decision variables are the watering amount, the fertilizationamount and the fertilization type; S2, determining plant health indexes, forming an indicator matrix Y, performing training and testing by an Elman neural network, and establishing a plant cultivation model; S3, optimizing the plant cultivation model by using the MOPSO algorithm to obtain a set of optimal solutions for each decision variable and plant health indexes corresponding to the optimal solutions; and S4, predicting the real-time data by using the model in the S3 to obtain a recommended decision X<*>, sending the X<*> to a user terminal, displaying the recommended optimal watering amount, fertilizing amount and fertilizing type in the user interface, a user remotely operating a device control sensor through the user terminal to complete automatic watering and automatic fertilization.
Owner:CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY +1

Compressed sensing imaging method, apparatus, device and system and storage medium

The embodiment of the invention discloses a compressed sensing imaging method, apparatus, device and system and a storage medium. The method employs an image compression coding device configured to perform compression, coding and sampling of a target image, a sampling controller and an image reconstruction calculator. The image compression coding device comprises a one-dimensional coding aperturetemplate and a linear array image detector, and the one-dimensional coding aperture template corresponds to the linear array image detector; the sampling controller controls drive of the one-dimensional coding aperture template and the linear array image detector to perform coding sampling and sends the obtained sampling data to the image reconstruction calculator; and the image reconstruction calculator is configured to perform single iteration of the reconstructed integrated sparse coefficient matrix through adoption of each dimensions of data based on the sampling data to obtain a recoveredtarget image. The compressed sensing imaging method, apparatus, device and system and the storage medium simplify the coding process, reduce the cost, eliminate the blocking effect of the block compression sensing system, obviously improve the image quality and achieve higher imaging quality with a lower hardware cost.
Owner:CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI
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