41results about How to "Suppress disturbing noise" patented technology

The embodiment of the invention provides a shift register unit circuit, a shift register, an array substrate and a display device and belongs to liquid crystal display technologies. According to the shift register unit circuit provided by the embodiment of the invention, a relatively small number of thin film transistors are adopted and are used for inhibiting interference noises in the circuit, so that the wiring space is reduced while the signal transmission function and the noise reduction function of a shift register unit are realized, the area occupied by the shift register unit circuit is reduced, and thus, a narrow border for a liquid crystal display with the shift register is realized.

A detection system of high sensitivity DC local discharge on large-capacity high voltage power device is prepared for providing high voltage DC voltage to balance detection impedance circuit by DC high voltage source, picking up local discharge signal of detected sample by balance detection impedance circuit, sending local discharge signal to differential amplification filtering circuit to carry out differential amplification filtering treatment than sending treated signal to data collection and analysis unit for obtaining detection and analysis result of local discharge signal.

The invention provides a face anti-counterfeiting method based on face depth information and edge image fusion, and the method comprises the steps: respectively extracting the edge information and depth image information of a face image through a double-flow network, carrying out the fusion of two types of features, and then carrying out the learning and classification through a feature fusion classification network, wherein a Sobel operator is used for extracting edge information of a face image, a PRNe is used for acquiring three-dimensional structure information of a face of a preprocessedliving body object, and adopting a Z-Buffer algorithm for projection to obtain corresponding living body face depth label. Depth information extraction network branches in the double-flow network extract differentiated depth information of living and non-living faces, and a weighting matrix and an entropy loss supervision mode are adopted to enhance the depth discrimination between a face area anda background area. Compared with the prior art, the method is slightly influenced by factors such as image quality and illumination, the problem that the hardware depth information extraction cost ishigh is solved, the characteristics of background information are expanded, and learning of redundant noise is weakened.

The invention discloses a five-phase inverter random SVPWM modulation method, and belongs to the technical field of multi-phase inverter drive control. In every sampling cycle, the sampling cycle is kept constant, a PWM pulse is delayed randomly, to achieve random change of a switch cycle, at the same time, two vector action time obtained through an NFV-SVPWM algorithm are randomly allocated, and double-random of switch frequency and zero vector action time is achieved. According to the five-phase random SVPWM modulation method, on the condition of not influencing low frequency-band harmonic performance, the amplitude of higher harmonic is drastically lowered, harmonic originally concentrated on the switch frequency and around the integral multiple switch frequency is dispersed into a wider frequency spectrum range, thus a more consecutive and even frequency spectrum is obtained, electromagnetic interference and high frequency noise are effectively inhibited, and the electromagnetic compatibility of the system is improved.

The invention provides an optical fiber gas concentration detection method with temperature compensation capacity. The method comprises specific steps as follows: step one, a laser device generates two optical signals, and central wavelengths of the two optical signals are lambda 1 and lambda 2 respectively; step two, each optical signal is split into two beams by an optical splitter after being transmitted through an optical fiber and then passes through a reference gas chamber storing reference gas and a detection gas chamber storing to-be-detected gas; step three, the spectral line intensity of light emitted from the reference gas chamber and the detection gas chamber is measured for multiple times; step four, the spectral line intensity is subjected to linear fitting, and temperature influence fitting coefficients of monochromatic light absorption coefficients of two wavelengths are obtained; step five, the gas concentration after temperature compensation is calculated according to the fitting coefficients. According to the method, a temperature compensation model of an optical fiber gas detection system is built, the optical fiber gas detection system considering temperature change factors is realized, interference of environmental temperature change to detection is inhibited in a temperature compensation manner, measurement errors caused by environmental temperature change are reduced, and the detection precision of the system is improved.

A loudspeaker arrangement in a motor vehicle includes at least one loudspeaker, which is able to be driven by an audio processor, the loudspeaker being arranged as at least one electrostatic planar loudspeaker.

The invention relates to a channel optimization device for an electric wire high speed data communication system, which is connected between the user electric appliance and the electric wire power in series, and which includes device for filtering the phase wire and ground wire. The channel optimization device concretely includes low pass network part and filter circuit part, the low pass network part is connected with the eclectic wire power for restrain high frequency normal mode noise, the filter circuit part is connected with the user's electric appliance for restrain the common mode interference noise. Thus the invention improves the noise interference resisting ability of the electric wire high speed data communication system.

The invention discloses a remote laser ranging method and device; a laser ranging controller controls a laser emitter to emit a laser pulse to a to-be-measured object, and forms a timing start signalin the same time; the laser pulse reaches the to-be-measured object via an atmosphere channel, so the to-be-measured object device can reflect the laser pulse, and the reflected laser pulse arrives ata small visual field laser receiver via the atmosphere channel; the laser receiver receives the reflected laser pulse, the reflected laser pulse passes spatial filtering, time filtering and spectrumfiltering, and reaches a photoelectric detector with an extremely high sensitivity; the photoelectric detector forms a return light electric pulse via photoelectric conversion, and the pulse serves asa timing end signal; the laser ranging controller calculates to obtain the distance information according to the timing start and end signals. The method and device can solve the technical problems that an existing laser pulse ranging method is low in a ranging distance.

The invention discloses a channel estimation method for a multi-user multi-input multi-output (MU-MIMO) system. The method comprises the following steps of: A, performing least square channel estimation by using a local pilot frequency of a user I and a received signal sequence at a pilot frequency position to acquire an estimation sequence; B, performing time bias estimation and compensation before separating users; C, sending the estimation sequence subjected to the time bias compensation into a filter to acquire an initial channel estimation value of the user I, performing transformation domain cyclic shift processing on the estimation sequence subjected to the time bias compensation, and then sending into the filter again to acquire an initial channel estimation value of a user II; and D, performing time bias recovery on the two users respectively to acquire a channel estimation value at the pilot frequency position. By the method, noise is reduced when users are separated, so that the realization complexity can be reduced obviously and the performance of channel estimation can be improved; and an operational formula of the filter is simplified by using an orthogonality characteristic of the pilot frequency of the users. The invention also discloses a corresponding channel estimation device for the MU-MIMO system.

The invention provides a generalized sidelobe cancellation broadband beam forming method based on frequency constraint. By performing new constraint on weight vectors of a main channel and an auxiliary channel of a GSC structure in a frequency domain, expected signals can pass through without distortion while interference is suppressed. The performance of the algorithm can be flexibly changed by controlling the number of the main channel array elements and the number of the auxiliary channel array elements, the calculation amount of the algorithm can be reduced while the degree of freedom is not wasted, and the practicability of the algorithm is improved. According to the method, the auxiliary channel weight vector is directly constrained through the constraint matrix, and the constraint matrix can be changed along with different target signals and arrays, so that the obtained auxiliary channel weight vector is most suitable for the current environment, and the premise of ensuring thatthe algorithm has high performance is also provided. According to the invention, the idea of frequency domain constraint is applied to the broadband beam forming method of generalized sidelobe cancellation without pre-delay, the calculation cost is low, and interference and noise signals can be suppressed to the greatest extent.

The embodiments of the invention provide a chromaticblood flow imaging noise suppression method and device.Thechromaticblood flow imaging noise suppression method comprises the steps thatanultrasonicecho signal is received, and a complex signal and a first energy component are generated according to theultrasonic echo signal; the complex signal is subjected to a two-way treatment, a first image comprising a first velocity image component and a first variance image component and a second image comprising a second velocity image component and a mode image component are obtained respectively, the first image and the second image are marked respectively to obtain a first marked image and a second marked image, and the first marked image and the second marked image are treated according to a preset policy to obtain a binary image; a third image is generated according to the first energy component and the first image; the third image is subjected to mask calculation according to the binaryimage to obtain achromaticblood flow image. According to the chromaticblood flow imaging noise suppression method and device, blood flow interference noise can beeffectively suppressed, and thus accuracy of chromaticblood flow imaging is improved.

The invention provides a fetal heart data visualization method of a multi-dimensional channel sensor and a system thereof. The fetal heart data visualization method comprises the steps that fetal heart signal data of multiple dimensions are collected through a multi-dimensional channel sensor; and the fetal heart signal data are projected to a one-dimensional, two-dimensional or three-dimensionalspace, wherein the projection comprises any one or more of projection, clustering, principal component analysis and integral processing. The multi-dimensional channel sensor is used for restraining interference noise, the quantity of measured information is increased, and information is visually displayed through dimension reduction information. By means of the dimension reduction information, existing information can be displayed in a simplified mode, and information hidden in the data before can be mined. For example, information such as fetal movement and fetal position can be displayed through projection of the spatial dimension and the frequency dimension.

The invention provides a fetal heart detection sensor matrix of a multidimensional channel sensor, and fetal heart detection equipment. The fetal heart detection sensor matrix of the multidimensionalchannel sensor comprises a plurality of sensors, wherein each sensor comprises a plurality of sound sensitive unit groups; the plurality of sound sensitive unit groups adopt difference measurement toform a single collection channel; and each sound sensitive unit group comprises a plurality of sound sensitive units. By using a passive sensor, the potential hard of active emission to a pregnant woman and a fetus is completely avoided; interference noise is effectively inhibited, so that the activities in daily life cannot influence fetal heart monitoring data; lying still for measurement is notneeded; signals can still be accurately measured under the condition that the fetus position of the fetus moves; and the use by the pregnant woman or family members is convenient.