30results about How to "Implement Adaptive Processing" patented technology

The technical scheme of the invention discloses an exposure control method and device. The exposure control method comprises the following steps: calculating an average brightness of a scene; performing scene recognition according to scene illumination evaluation, a histogram light region ratio and a histogram dark region ratio, so as to obtain a target brightness value of an adaptive scene; and adjusting parameters of an image sensor according to the average brightness of the scene and the target brightness value of the adaptive scene, so as to enhance or reduce the image brightness. The exposure control method and the device provided by the technical scheme of the invention adaptively adjust the complexity and diversity of the scene, and ensure the speed and stability of automatic exposure control.

The invention discloses an anti-packet loss method, a device and a system in real-time communication. The method comprises steps: a network data packet is transmitted to a receiving end, wherein the network data packet comprises video frame data after coding and FEC (Forward Error Correction) redundant data, and the FEC redundant data determine a corresponding FEC redundant level; feedback data transmitted after the receiving end analyzes and restores the network data packet are received; when the feedback data are packet loss feedback data, according to the current packet loss model, the corresponding level of FEC redundant data is reselected from preset multiple groups of redundant levels of FEC redundant data, and the data are transmitted to the receiving end; besides, when the feedback data are decoding error feedback data , according to the current decoding error model, an independent decoding frame corresponding to the decoding error frame is acquired and transmitted to the receiving end. The problems that processing on the network packet loss can not meet requirements of high quality and low bandwidth in the prior art, and the anti-packet loss ability is poor can be solved, and the anti-packet loss ability in the real-time communication process is enhanced.

Disclosed is a method for receiving and processing scene adaptive satellite signals. The method comprises generating a test case; judging measurement environment; adaptively adjusting gain; measuringbasic parameters; completing the adaptive adjustment of an antenna; obtaining collineation component and the satellite signal of a target measurement scene; and finally extracting satellite signal characteristics to complete channel model fitting. According to the method for receiving and processing the scene adaptive satellite signals, compared with the prior art, the present invention is for theS-band satellites and is used for measuring satellite signal transmission channel parameters from satellite orbits to the surface under different latitude and longitude conditions, and different surface and geomorphology conditions; the problem of the satellite channel parameter measurement under rapid scene change is solved; and the method has a good use value.

The invention relates to a Raman spectrum analysis method based on a convolution neural network. Firstly, the classification model is established. The Raman spectrum of the material is pretreated, andthen the pretreated Raman spectrum is input to the neural network for training to determine the weights of each layer of the network, and the classification model is named RS-CNN. Secondly, the Ramanspectra of the substances to be predicted are pretreated, and then the pretreated Raman spectra with predicted substances are inputted into the classification model, and the output of the classification model is the classification result. Convolution neural network denoising and baseline correction are integrated into the convolution neural network in a convolution manner, so that the preprocessing and identification problems are solved in a unified model framework, and the adaptive data processing is realized, which makes up for the shortcomings of the traditional methods.

The invention discloses a service implementation method and device based on a private attribute of third-party equipment. The method comprises the following steps of: configuring a corresponding relation of an IP (internet protocol) address of the third-party equipment and an equipment manufacturer to which the equipment belongs on an authentication server, configuring the analysis rule of the private attribute of the equipment manufacturer and configuring a releasing strategy of the private attribute of the third-party equipment; when the authentication server receives an access request message of the third-party equipment, determining the equipment manufacturer to which the equipment belongs according to the IP address of the third-party equipment, analyzing the private attribute information carried in the message according to the analysis rule of the private attribute of the equipment manufacturer and carrying out corresponding processing according to the analyzed private attribute information; and when the authentication server returns an access response message to the third-party equipment, determining the private attribute value needing to be released according to the releasing strategy of the private attribute of the third-party equipment and sending the carried access response message to the third-party equipment. According to the service implementation method and device provided by the invention, the self-adaptive processing for the private attribute of the third-party equipment can be realized on the basis of a configuration mode.

The invention, which belongs to the field of Doppler radar target tracking, particularly relates to a radar target tracking method based on Doppler measurement adaptive processing. According to the invention, sequential filtering of processing Doppler measurement is realized based on a BLUE-KF-based position measurement filtering method and selection of adaptive pseudo-information. With the BLUE-KF-based position measurement filtering method, unbiased estimation based on prediction value measurement conversion is realized. Meanwhile, with a prediction-value-based converted pseudo measurement,unbiased estimation of a pseudo state is obtained. Converted pseudo measurement or pseudo state estimation is selected adaptively to carry out sequential filtering according to a difference change rate of a pseudo measurement error covariance and a pseudo state estimation error covariance. Therefore, adaptive processing of the target nonlinear measurement and the effective tracking of the target are realized while the system can obtain target position measurement and Doppler measurement simultaneously; and the tracking accuracy is high.

The embodiment of the present invention discloses an image processing method and device; the method comprises: acquiring an image copied from an associated terminal; determining whether a color rangeof a first color gamut of a current terminal is smaller than a color range of a second color gamut of the associated terminal, if yes, determining whether a pixel to be displayed in the image belongsto the color range of the first color gamut; when it is determined that the pixel to be displayed in the image belongs to the color range of the first color gamut, performing color enhancement on thepixel to be displayed; and when it is determined that the pixel to be displayed in the image does not to belong to the color range of the first color gamut, performing color gamut mapping process on the pixel to be displayed. The method can realise effective combination of color gamut mapping and color enhancement in order to maintain more image details.

The invention discloses a signal anti-interference processing method of a GNSS navigation satellite. The method is used for improving the anti-interference capability of a satellite navigation signalreceiving system, according to the technical scheme, the GNSS navigation satellite radio frequency signal is converted into a digital intermediate frequency sampling signal through a module/ digifax processing chip, the digital intermediate frequency sampling signal is sent to a signal and data processing module, the obtained I, Q sampling data flow which is subjected to digital down-conversion processing is subjected to data caching and extraction control, the product of the extracted I, Q sampling data and conjugate transposition of the I, Q sampling data is solved and carried out statistical averaging, and a self-correlation matrix is obtained; according to the power inversion criterion, the optimal weight coefficient of the digital wave beamforming is calculated; the I, Q data which issubjected to DBF synthetic processing is obtained; and finally, the digital intermediate-frequency signal which is subjected to the DBF synthetic processing is inputted in the module/ digifax processing chip for analog up-conversion processing, an anti-interference processed GNSS radio frequency signal is obtained and is sent to a receiver to carry out navigation positioning.

The invention discloses a video processing method and device. The method comprises: detecting a received video signal, and judging whether the video signal is a video signal of a preset frame type or not; if yes, determining the range of a to-be-cut frame of each frame of image in the video signal; and cutting and displaying the video signal according to the range of the to-be-cut frame. The adaptive processing of the video signal of the input television is realized, on one hand, the black frame display in the video signal with the black frame input by the set top box is avoided, and on the other hand, the incomplete picture caused by over-cutting is avoided, and the user experience is improved.

The invention discloses an image reconstruction method based on neighborhood pixel jump distribution function extraction. The method includes five steps of image neighborhood distribution statistics,function regression, regression effect evaluation, function extraction and super-resolution image reconstruction, wherein the image neighborhood distribution statistics counts the jump values of adjacent pixels in images and carries out normalization treatment on the jump values; the function regression firstly uses the digital image imaging principle to obtain the model of the image neighborhoodpixel jump function, and then according to the distribution situation of adjacent pixels, adopts a non-linear regression method to calculate and obtain the parameter of the function; and the regression effect evaluation compares the accuracy of functions by taking a deviated energy value as a standard and extracts the optimal jump distribution function according to the accuracy. The invention provides a reasonable function model and improves the accuracy of extraction result. By applying the extracted function result in the super-resolution image reconstruction field, the method achieves better result than the traditional method.

The invention relates to the technical field of sewage treatment, particularly to a sewage purification and treatment device and a method thereof. The device comprises a multifunctional reaction tank,a biochemical reaction standing tank and a filter pressing purification tank, wherein the multifunctional reaction tank, the biochemical reaction standing tank and the filter pressing purification tank are communicated in sequence, a water inlet is disposed at the multifunctional reaction tank, a water outlet is arranged at the filter pressing purification tank, the water inlet can also be disposed at the filter pressing purification tank, and the water outlet is disposed at the multifunctional reaction tank so as to flexibly realize positive and negative purification operation with differentpurification requirements. The operation method of the water treatment and purification device can optionally dispose the inlet and outlet to realize the purification treatment processes of differenttechnologies. The device disclosed by the invention realizes adaptive treatment of various water, and has high treatment efficiency, also according to the device and method provided by the invention,the structure is compact, the device floor space is small, the process can be positively, negatively and freely combined, and the treatment mode is flexible. Therefore, the device and method have wide application in the sewage treatment field.

The invention relates to a self-adaptive image processing system for display equipment, and the process comprises an identification module, a judgment module, a self-adaptive matching module, an image algorithm module and a cloud server module; the identification module is connected with the judgment module, and the judgment module is connected with the cloud server module and the self-adaptive matching module; the cloud server module is connected with the adaptive matching module and the image algorithm module, and the adaptive matching module is connected with the image algorithm module; according to the external device inputting the signal source to the current device and the specific content of the input signal source, the corresponding image processing mode is automatically loaded, self-adaptive processing of the image is achieved, the content classification accuracy is improved; in addition, the cloud server further provides an expansion upgrading function, and new content classification attributes and new image modes can be conveniently added.

The invention discloses a Doppler signal conditioning circuit in a strong-noise background, which comprises a pre-amplifier unit, a real-time fault detection unit and a signal filtering unit. The signal filtering unit comprises a filtering conditioning circuit in a dual-antenna working mode and an adaptive filtering conditioning circuit in a single-antenna working mode. Weak Doppler signals output by radar antennas first pass through the pre-amplifier unit. Meanwhile, the working states of the radar antennas are detected in a real-time manner. After being amplified, the signals are further filtered and conditioned and further sent to a rear stage for sampling and operational processing. The conditioning circuit can extract weak Doppler signals from a strong-noise background and acquire useful signals with a high signal to noise ratio. Rear-stage signal processing errors can be greatly decreased. The velocity measurement precision can be further improved.