80 results about "Noise rate" patented technology

The invention discloses a liquid phase chip for CYP19A1 gene SNP (Single Nucleotide Polymorphism) detection, which comprises wild type and mutant type specific ASPE primers designed targeting CYP19A1 gene SNPs of rs4646, rs10046C>T, rs700519C>T, rs1870050C>A, hCV1664178A>C, rs12900137G>C, rs730154G>A, rs936306T>C and rs1902586A>G, microballoon spheres respectively coated with specific anti-tag sequences and primers used for amplifying CYP19A1 gene SNPs with target sequences to be detected. Each ASPE primer comprises a tag sequence at 5' end and a specific primer sequence at 3' end, wherein the specific primers are selected from SEQ ID NO. 19-36 and the tag sequences are selected from SEQ ID NO.1-18; and the anti-tag sequences can be correspondingly in complementary pairing with the tag sequences. The invention also discloses a CYP19A1 gene SNP detection method. The coincidence rate of the detection method provided by the invention and a sequencing method is as high as 100%; and the prepared liquid phase chip for CYP19A1 gene SNP (Single Nucleotide Polymorphism) detection has excellent signal-to-noise rate, and basically no cross reaction exists between a design probe and the anti-tag sequences.

The invention belongs to the field of signal processing technologies, and particularly relates to a denoising method of additive white gaussian noise signals at a low signal to noise rate. The method includes the steps that according to autocorrelation of signals, autocorrelation of the signals is solved, the autocorrelation functions of the signals obtain the maximum values at zero points, the amplitude change along with change of time difference and will not attenuate to a small value quickly; EMD is performed on the signals mixed with the gaussian white noise, due to the nature of EMD, the gaussian white noise is not the real white noise any more, however, the statistical property of the white noise approximately exists, in other words, the autocorrelation functions of all the signals mixed with the gaussian white noise obtain the maximum values at zero points, the amplitudes change along with change of the time difference and will attenuate to the small value quickly. Through the difference, IMF components of which the noise plays a main role are selected, and the influences of the noise on the signals can be effectively reduced. Under the condition of the low signal to noise rate, the denoising performance of the method is superior to that of a traditional method, and signal denoising can be completed under the condition of the low signal to noise rate.

The invention discloses a method for resisting backward dispersion for a laser semi-active seeker. The laser semi-active seeker is used for automatically searching, intercepting and tracking a ground fixed/moving target by the adoption of diffuse-reflected laser of a target. Laser on a transmitting path is attenuated due to suspended matters in the atmosphere, and an echo signal formed by backward dispersion of the atmosphere may interfere the capture of a target signal by the seeker. According to the method, the technology of wave gate is used for dividing the backward dispersion light and the target reflection light in different distances according to a sequence of time, so that the target reflection light is enabled to reach and image in gating time of a laser receiver, and the seeker is ensured to accurately capture target echo. By the adoption of the method for resisting backward dispersion, the seeker can be used for overcoming backward dispersion in bad weather conditions of low brightness, poor atmosphere transmission characteristics or serious backward dispersion and the like, thus a signal-to-noise rate of laser imaging is improved, and the function of filter on an interference target is further provided.

The invention provides a method for evaluating the influence of speckle coherence on the ranging accuracy of a single-photon laser radar. The method comprises the steps of setting the parameters of the single-photon laser radar system, calculating the autocorrelation function of a receiving aperture of the single-photon laser radar system and the normalized covariance function on the intensity ofthe receiving aperture to calculate the speckle degree of freedom M; calculating the average signal photon number Ns according to the laser radar equation, and calculating the total noise rate Nn of the laser radar system; differentiating time through the detection probability based on the root mean square pulse width [Sigma]s of the laser pulse to obtain the detection probability density functionfs(t) of the echo signal with respect to time t, and obtaining the mean value shown in the description and the variance Var of the time when the detector detects the target point; and obtaining the influence of the speckle coherence on the ranging accuracy of the single-photon laser radar according to the drift error Ra and the random error Rp. The invention has good compatibility, can provide guidance for the system parameter design of the laser radar, improve the detection probability and reduce the ranging error as much as possible under the restraint of satisfying the false alarm probability.

The invention discloses a nonlinear amplification-retransmission optimal power allocation method. The method comprises the following steps: an ideal amplitude-limiting amplifier model is constructed into a linear model with a Gaussian distortion noise option by using a linearized theory; according to the linear model, the chain equivalent single-to-noise rate of each nonlinear relay, devoted to a target receiver, is calculated; in order to obtain the optimal signal-to-noise rate performance, a maximum-combination-ratio receiver which is capable of realizing the nonlinear distortion is also designed; then, an optimal relay power allocation mathematical model is built, although the optimal power allocation problem is not a convex problem is found by analyzing a curve structure of signal to noise rate and power, the optimal relay power allocation problem can be converted into a convex optimization problem by limiting the maximum emission power; and finally, an optimal power allocation scheme is provided by utilizing a lagrangian multiplier method. A theoretical analysis and simulation result indicates that the method disclosed by the invention is superior to an optimal power allocation algorithm has no sense to nonlinear distortion, and has the capability of effectively improving the system capacity.

The operation method for upward exterior ring power control in E-DCH comprises steps: using Node B to detect upward receiving quality and report to RNC; the RNC arranges the target signal-noise rate for exterior ring power control according to received quality and sends the said rate to Node B, arranges an added E-DPDCH/DPCCH power off-set value according to QoS and upward received quality of E-DCH and DCH and sends the said off-set value to UE; the RNC determines the emission power for upward E-DPDCH and sends E-DCH data according to power off-set in Rel99 and added power off-set value. This invention can compensate the difference between E-DCH and SIR target of DCH, decreases upward disturbance, and makes RNC control the physical layer transmission number for E-DCH data.

The invention provides a motion-vector-based H.264 baseline profile intra mode decision method. The method comprises the following steps: 1) an I frame or P frame is judged, wherein traditional intra prediction coding is performed under an I frame condition, and mode information contained in a current macroblock is written into a reference mode table after the coding is completed; 2) under a P frame condition, a coder performs interframe prediction to obtain the best motion vector, and acquires reference mode information of the current macroblock and the reference mode information containing sub-blocks by searching the reference mode table according to the motion vector; and 3) intra prediction of 16*16 and 4*4, a candidate prediction mode is determined according to the reference mode information of each sub-block, rate-distortion optimization operation is performed on the candidate prediction mode to obtain an optimal intra prediction mode. By the method, the intra mode decision algorithm is simplified under a condition that the influence to coding a signal-to-noise rate is small, and the coding speed is accelerated.

The invention belongs to the technical field of radio signal identification, and particularly relates to an ultrashort wave specific signal identification method based on a convolutional neural network. The method comprises the following steps: performing short-time Fourier transform for a specific signal in a sample library, and acquiring a signal time-frequency spectrum, wherein the specific signal is a signal containing a frame synchronization code in a signal transmission data frame structure; training a convolutional neural network model with the time-frequency spectrum; and identifying the specific signal in ultrashort wave communication through the trained convolutional neural network model. In the method provided by the invention, firstly, visual characteristics, presented on the time-frequency spectrum, of the specific signal are analyzed, and training is executed through the convolutional neural network model, thus, identification of the ultrashort wave specific signal is realized, and signal identification rate is improved; and finally, through a simulation experiment, influence of aliasing interference on an ultrashort wave channel is reduced effectively, ultrashort wave specific signal identification under low signal-to-noise rate is realized, moreover, anti-interference performance can be improved through optimizing network structures and increasing the number ofnetwork layers, so the method provided by the invention has relatively strong practical application value.

The invention provides an array substrate, a touch screen, a drive method and a display device. The array substrate comprises a substrate body, wherein a gird line, a data line, a first common electrode and a second common electrode are formed on the substrate body; the second common electrode comprises transverse electrode groups positioned in the same row and metal jumper wires for connecting every two adjacent transverse electrode groups on the same row; the first common electrode comprises a longitudinal electrode group; a switching circuit which is switched on at a touch screening stage so as to ensure that the first common electrode and the data line are connected in parallel is arranged between the first common electrode and the data line. In the touch scanning stage, the switching circuit is switched on, so that the first common electrode is connected with the data line in parallel, and thus equivalent resistance of the first common electrode is reduced, the signal to noise rate of the first common electrode is indirectly increased, further, a voltage signal coupled from a touch induction electrode is monitored more accurately, and a touch point can be positioned accurately.

The invention discloses a voice analog-to-digital conversion method, which comprises the steps of firstly carrying out over-sampling to a comparison result between an input analog voice signal and a predictive analog voice signal, then carrying out adaptive delta modulation to an output digital voice signal after sampling, and finally carrying out de-sampling filtration processing to the digital voice signal after the adaptive delta modulation and outputting the signal. The method utilizes over-sampling technology, thus being easy for realization in actual chips; as the frequency of the voice signal is relatively low, the over-sampling technology is easy for realization; when sampling interval is lowered down to a certain value, the difference value of two adjacent sampling points can be lowered down to be within a certain extent, source signals can be approximately tracked more precisely, thus reducing quantization error; the improving of the sampling frequency can lower noise power in a signal frequency band, quantization noise after over-sampling is expanded to be within a wider frequency band range, while the signal power within the signal frequency band dose not change, thus improving the signal-to-noise rate of the signal.

The invention discloses a method for measuring related parameters of sensitivity, linearity and dark noise of a charge coupled device (CCD) chip, and mainly solves the problems of low measurement precision and incomplete measurement parameters in the prior art. The method comprises the following steps of: selecting a wavelength eta corresponding to the moment that the quantum efficiency of the CCD chip is maximal, and setting a tunable wavelength monochromatic uniform light source system to generate monochromatic light with the wavelength eta; selecting a series of integration time, and controlling the CCD chip to shoot image information and upload the image information to a computer by taking the integration time as parameters; selecting needed images by using corresponding computer software, and calculating the mean gray value mu, the time domain variance sigma<2> of the images and a system gain K; and calculating a saturation level mup.sat, a signal-to-noise rate (SNR), an absolute sensitivity threshold value mup.min, a dynamic response range DR and a nonlinearity error LE by using the acquired parameters. The method for measuring the related parameters of the sensitivity, the linearity and the dark noise of the CCD chip has the advantages of high parameter measurement precision, high stability and complete measurement parameters.

It is morphology filter automatic object detection method, which comprises the following steps: first to collect training samples to form heredity arithmetic for optimization train, wherein, the arithmetic adopts new range discretization code and self-adapting major/minor cross and dissociation operator; to use collected sample to train the structure element value by heredity arithmetic to form morphology filter based on Top-Hat operator; to filter the infrared object image; finally to do the division based on self=adapting threshold to detected multiple weak spots; to detect the object spots with high signal to noise rate by use of fixed threshold division.

The invention discloses a method and a system for predicting the image compressing quality wherein the method for predicting the image compressing quality comprises the following steps: selecting an image component X which needs calculating from an image, obtaining the characteristic quantity IAMx of the image component through calculating a first-step activeness quantity IAMD and a second-step activeness quantity IAME, calculating the signal-to-noise rate PSNR of the peak value according to the compressing rate CR and the IAMx, and predicting the image compressing quality. The method can predict the compressing quality of any component of the rebuilt images and is suitable for any coding standard or coder.

The invention discloses a method and a device which can realize decimal sample-rate conversion, and the method is used in the data sampling conversion field. The method includes the steps that an integral-multiple interpolation filter is used to conduct integral-multiple interpolation and filtering on an inputted signal and an output integral-multiple signal to a decimal sample-rate converter; the decimal sample-rate converter conducts decimal sample-rate conversion on a received decimal audio video signal, and outputs a decimal conversion audio video signal to an integral-multiple extraction filter; the integral-multiple extraction filter obtains the converted sample rate after conducting integral-multiple extraction and filtering on a received integral-multiple conversion audio video signal, and the decimal sample-rate conversion of the ratio of the output signal to the input signal is realized. With the technical proposal of the invention, when the interpolation multiple I or the extraction integer D of the decimal sample-rate conversion is bigger, the noise rate of the output signal can be improved, thereby the noise rate performance of the output single can be met.

The invention provides a group-based millimeter wave (MMW) communication multi-beam scheduling method. Technical problems of low system spectrum efficiency and insufficient hardware resource utilization in the prior art are solved. The method comprises the following realization steps: a sending end generates beams to obtain a beam set; the sending end groups the beaming set to obtain a beaming group set; the sending sends a training signal to a user by using each beam in the beam set; the user computes a signal-to-interference-to-noise rate (SINR) of each beam in the beam set, and feeding back the maximum SINR and the optimal beam serial number corresponding to the maximum SINR to the sending end; the sending end performs beam scheduling on each beam in the beam group set. By using the scheduling method provided by the invention, the system spectrum efficiency can be effectively improved, the system hardware resource is sufficiently utilized, and the method can be used for the multi-user data transmission.

The invention discloses a user scheduling method in an LTE (Long Term Evolution) system, which comprises the steps of: calculating a single-to-interference noise ratio of a user i according to a signal received by the user i; (2)solving a maximum transmission rate of the user i at time t according to the signal-to-interference and noise rate; (3) solving an average transmission rate of the user i at the time t according to the maximum transmission rate of the user i at the time t; (4) calculating the scheduling priority factor denominator index of the user i according to the maximum transmission rate and the average transmission rate of the user i at the time t and the time t-1; (5) calculating the scheduling priority factor of the user i at the time t; and (6) sequencing the scheduling priority factors of all the users at time t by size in a cell, and selecting the user with the maximum scheduling priority factor for scheduling. The scheduling priority factor designed by the invention can track the channel quality change conditions of all uses in real time, increase the scheduling chances for the users with poor channel quality and prevent the occurrence of the situation that users with good channel quality occupy excessive system resources.

The invention discloses a method capable of raising the signal to noise ratio for a spacing device, comprising the following steps: giving off detection light by a lighting assembly in lighting time and directing it to the object to be detected so as to produce reflection light, wherein when the lighting assembly starts giving off detection light, after certain delay time, a light sensing assembly senses the energy of the reflection light, and produces a light sensing signal based on it; obtaining the flying time of light coming and going between the spacing device and the object to be measured according to the energy of the detection light and the light sensing signal; obtaining the distance to be measured between the spacing device and the object to be measured according to the light flying time. Because the distance to be measured is bigger than the known shortest distance to be measured, the method can be used to calculate an appropriate delay time such that the reflecting light is launched to the light sensing assembly after the delay time. Then, the light sensing assembly does not feel the background light in the delay time, therefore the signal to noise ratio of the light sensing signal can be raised.

The invention belongs to the blind despreading technical field, and especially relates to a synchronous long code DS-CDMA signal blind separation method based on deletion tensor low-rank decomposition. The invention provides a synchronous long code DS-CDMA signal blind separation method suitable for the case in which a spread spectrum sequence period is non-integer times of a spreading factor. The method comprise: converting a blind separation problem of synchronous long code DS-CDMA signals intercepted through multiple channels into a low-rank decomposition problem of a synchronous long code DS-CDMA signal deletion tensor model; realizing the low-rank decomposition of the deletion tensor model through an interpolation ALS algorithm; and finally obtaining the information code matrix of multiple users and completing signal blind separation. The method possesses better performance even under the condition of a low SNR (Signal Noise Rate) or short data.

The invention discloses a surface classification method based on a single-photon laser radar background noise rate. On the basis of a mirror reflection theory, an expression of a water surface photonreflection noise rate is proposed is put forward; a background noise rate model is established by combining system parameters, environmental parameters and target characteristic parameters and mathematical expressions of a land background noise rate and a water body background noise rate are given respectively; a surface classification noise rate threshold value is obtained through calculation; and according to significant difference between land and water background noise rates, a statistical noise rate substituted into original point cloud data of the laser radar can be compared with a noiserate threshold to judge the surface type. According to the classification method, the dependence on a digital topographic map or a high-resolution remote sensing image required by the traditional method is eliminated; and used auxiliary data are available. The method having advantages of rapidness and high efficiency can be used for realizing high-precision surface type classification in coastalareas. The method is applied to the MABLE original point cloud data and the classification effect is excellent.

The invention relates to the field of communication, and in particular relates to a multi-access method and device, used for improving the user capacity of a system. The method comprises the following steps: a base station obtains channel state information reported by users, and divides the users into multiple user groups based on the obtained channel state information; the base station distributes the sending power to the users in each corresponding group based on the number of the users in each group and an achievable rate expected value; the base station determines the signal to noise rate of the users in each corresponding group according to the sending power of the users in each group, and determines the rotation angle of each user in each group based on the number of the users in each group and the signal to noise rate; and the base station sends the sending power and the rotation angle of each user to corresponding users. The user capacity of the system can be effectively increased; and the fairness of each user in the system is ensured.

The invention discloses a distributed compression forwarding system of a multi-relay network under a Gaussian source and a design method. A source sends a simulated Gaussian signal, performs distributed source coding at a relay node, and performs the digital transmission. Since the simulated signal is transmitted, the index for system performance evaluation is the signal-to-noise ratio. A theoretical analysis frame of the system is proposed in consideration that the sending power of each relay node is the same and all noises powers are the same under an additive Gaussian white noise channel, a rate-distortion function of the multi-relay network is established by use of the CEO theory, and the connection between a sensing network and a digital communication network is established in combination with a Shannon channel capacity theory. An optimal design theory method of the system is proposed, and the power distribution is performed between the sensing network and a communication network based on the signal-to-noise rate under a condition that the total power is limited, thereby enabling the signal-to-noise rate to achieve the maximum. The theoretical analysis and the simulation result show that the optimal compression forwarding system provided by the invention can provide better signal-to-noise ratio in comparison with an amplification forwarding system.

The invention provides a new embedded Rake receiver system with high integrity, which integrates a stochastic sequence code generator, an orthogonal channel code generator, a stochastic sequence descrambler, a orthogonal code-channel separation demodulator, a vector dot product device, and modules for signal power detection, Finger time track, Finger lock indication, channel estimation, dephasing rolling merge, automatic frequency control, estimation for signal-noise rate, automatic receiving gain control, to realize corresponding necessary functions for Rake receiver. This receiver can almost finish all 3G receiver's functions except channel decode, fits well to realize in embedded communication chip by hardware way.

The invention belongs to the technical field of optical electronic devices and particularly relates to an ultrafast laser balanced detection photoelectric pulse signal shaping method and an implementation circuit. Shaping broadening processing is performed on photocurrent through an electrical means, so that differential signals caused by waveform mismatching are reduced, and the adverse effect on the balance effect is reduced. The transfer function H used by shaping broadening processing is: (imag file= 'dest_path_image 002. TIF' wi= '169' he = '24'/), wherein s is a complex variable, (imag file= 'dest_path_image 004. TIF' wi= '23' he = '15'/) is an inverse Laplace transformation mark, (imag file= 'dest_path_image 006. TIF' wi= '120' he = '16'/) is a different real parameter, and the dimension is time. Various specific implementation circuits exist. The electrical shaping mode has to additional advantages of two circuits of improving the circuit high-frequency noise suppression capacity, simplifying experiment equipment, reducing the cost and improving the data accuracy and signal to noise rate.

The invention provides a noise label relabeling method, which comprises the following steps of: 1, classifying observation samples by using a base classifier, estimating a noise rate, and identifyingnoise label data; and step 2, re-labeling the noise label sample by using a base classifier to obtain a corrected clean sample data set of the noise label sample.

A computationally efficient method and apparatus is disclosed for machine learning an unknown, n-dimensional γ-margin halfspace to accuracy 1−ε in the presence of malicious noise, when the noise rate is allowed to be as high as

A smooth boosting module repeatedly calls a weak learner module that generates candidate classifiers based on a majority vote of randomly-generated classifiers.