170results about How to "Achieve filtering" patented technology

The invention provides a direct-current electric field detecting device used under the condition of a hybrid electric field. The direct-current electric field detecting device used under the condition of the hybrid electric field comprises a signal receiving module, a signal conditioning module, a phase sensitive detection module and a PSO multi-frequency notch module. The signal receiving module comprises the output end connected with the input end of the signal conditioning module and further comprises the output end connected with the input end of the phase sensitive detection module. The output end of the signal conditioning module is connected with the other input end of the phase sensitive detection module. The output end of the phase sensitive detection module is connected with the input end of the PSO multi-frequency notch module. According to the direct-current electric field detecting device used under the condition of the hybrid electric field, through the PSO multi-frequency notch design method, unnecessary frequencies are filtered out. Compared with a traditional lowpass filter, the dynamic response of a system is improved.

The invention discloses an image noise reduction method and device, an electronic device and a storage medium to solve the problem of a large calculation amount in carrying out noise reduction processing on an image in the prior art. The method comprises a step of carrying out discrete cosine transform DCT decomposition on a first image for the first image to be subjected to noise reduction and determining a DC coefficient value and each AC coefficient value corresponding to the first image, a step of adjusting each AC coefficient value corresponding to the first image according to a DC coefficient value corresponding to the first image, a step of carrying out DCT reconstruction on the first image according to the DC coefficient value corresponding to the first image and each adjusted AC coefficient value and determining the reconstructed first image as a first image which is subjected to noise reduction. In the embodiment of the present invention, by adjusting each AC coefficient value through the DC coefficient value in a first image block which is subjected to noise reduction, the filtering of the noise of the first image is realized, the calculation amount is small, and the real-time performance is guaranteed.

The invention relates to an intelligent anti-freeze wind power generation device. The wind power generation device comprises a tower frame, a nacelle, wind power blades, a rain collecting device, a filter adsorption device, a deicing device, water body heating members, a rainwater energy utilization device, a bubble manufacturing device and water outlet members. Through the arrangement of the deicing device of a specific structure, when it is rainy or snowy, the deicing operation of the wind power generation device is realized by double processing of brushing and heating the blades during therotation of the blades; and through the arrangement of the bubble manufacturing device, adsorption of impurities in a water body by bubbles is carried out and then removed.

The invention discloses a method for processing ground synthetic electric field data measured practically. The method comprises: according to a missing value writing-in rule of ground synthetic electric field data measured practically, a missing value is determined and rejected; on the basis of a Pauta criterion, determination and rejection are carried out on abnormal value segmentation of ground synthetic electric field data measured practically; the rejected missing value and abnormal value in the ground synthetic electric field data measured practically are made up by using a linear regression method, thereby obtaining ground synthetic electric field data after making up; if the ground synthetic electric field data after making up do not meet expectation, a segmentation way is adjusted and the abnormal value is made up again by using the linear regression method; and if the ground synthetic electric field data after making up meets expectation, a random interference value in the ground synthetic electric field data after making up is filtered by singular value decomposition. Therefore, the impact on the ground synthetic electric field data by measurement equipment abnormality or external environment interference can be reduced; and thus a mechanism analysis of a ground synthetic electric field can be promoted.

The present invention provides a single photon distance measurement background noise filtering method based on photon orbital angular momentum modulation and a single photon distance measurement device, and relates to the laser detection technology field. The objective of the invention is to solve the problem that the background noise in the single photon detection cannot be greatly eliminated in the prior art. A spiral phase plate is employed at an emission end to modulate the orbital angular momentum of emission signals to m order, wherein m>>1; and performing -m inverse modulation of the orbital angular momentum of receiving signals at a receiving end, and employing an aperture diaphragm to filter the background noise in the receiving signals after the inverse modulation. The single photon distance measurement background noise filtering method based on photon orbital angular momentum modulation and the single photon distance measurement device employ high-order orbital angular momentum signal photon signals which are not existed in the natural world to perform high-order orbital angular momentum modulation of the emission laser pulse signals so as to effectively distinguish signals and background noise, realize complete filtering of the noise, remove the interference of the background noise, effectively improve the sensitivity and the detection distance and realize megameter detection distance. The timeliness is good.

The invention discloses a traction type all-in-one machine integrating forest residue picking, crushing and compression, belongs to the field of forestry machinery and aims at solving the problems of insufficient picking in the traditional forest residue picking and conveying process, high requirements for rigidity and stability of mechanical equipment due to rough forest roads, and damage to a crushing or compression device due to easiness in picking up stones and soils. According to the traction type all-in-one machine integrating forest residue picking, crushing and compression, conveying is realized through a conveyor belt; through twice separation by a filter plate and a cyclone separator, gravels and sands are effectively filtered out, and useless objects such as stones doped in the residues are prevented from being picked up to cause low picking efficiency; and in addition, the residues such as fallen leaves and the like can be crushed, thicker residues such as branches and the like can also be manually fed into the crushing device through a side feeding hole, and crushed materials can be primarily compressed by the compression device directly. The traction type all-in-one machine integrating forest residue picking, crushing and compression is suitable for picking up the forest residues.

The invention discloses a pretreatment device for water-quality detection. The pretreatment device for the water-quality detection comprises a bottom plate and a test tube, wherein a box body is fixedly connected at the top of the bottom plate, a reagent box is fixedly connected at the top of the bottom plate and located at the bottom of one side of the box body, a protective cover is fixedly connected at the top of one side of the box body, a water tank is fixedly connected on the other side of the box body, a motor is fixedly connected at the bottom of the inner wall of the protective coverthrough a connecting block, a first pulley is fixedly connected at one end of an output shaft of the motor, a support plate is fixedly connected at the top of one side of the inner wall of the protective cover, and a movable shaft is rotationally connected on the front surface of the support plate through a bearing. The invention relates to the technical field of water-quality detection. The pretreatment device for the water-quality detection can filter out impurities contained in wastewater and create favorable conditions for the subsequent water-quality detection, at the same time, certain work intensity for a worker is relieved and a foundation is laid for detection accuracy.

The invention belongs to the technical field of a reset circuit, particularly relates to the reset circuit of an anti-fuse type FPGA (Field Programmable Gate Array) system, and aims at providing a circuit which can be reliably reset for the anti-fuse type FPGA system. The reset circuit of the anti-fuse type FPGA system comprises an external reset threshold circuit, a power-on reset signal generating circuit and an asynchronous reset signal generating circuit, wherein the external reset threshold circuit is connected with the asynchronous reset signal generating circuit for supplying an external reset signal for the asynchronous reset signal generating circuit, the power-on reset signal generating circuit is connected with the asynchronous reset signal generating circuit for supplying a power-on reset signal for the asynchronous reset signal generating circuit, and the asynchronous reset signal generating circuit receives the external reset signal and the power-on reset signal so as to generate an asynchronous reset signal. According to the reset circuit for the anti-fuse type FPGA system, disclosed by the invention, the asynchronous reset signal generating circuit is adopted, two stages of BUFFERs, a matching logic or a gate is simultaneously arranged, the competition adventure of an asynchronous reset signal edge and a clock edge is eliminated, and the asynchronous reset of the anti-fuse type FPGA system is realized.

The invention provides an effective vibration data interception method based on waveform characteristic statistics. Filtering of a noise peak and interception of a vibration signal are realized by performing statistics on a waveform characteristic of acquired data based on a waveform characteristic of the vibration signal. With the adoption of the scheme, interference of a useless signal is effectively avoided, the operation times and a false alarm rate of a system are reduced, and the method is low in algorithm operand, high in timeliness, high in reliability and low in false alarm rate.

The present application provides a method, a device and a computer device for filtering a pulse wave, wherein the method for filtering the pulse waves comprises the following steps: acquiring a collected pulse wave; performing an extreme value detection on the pulse wave to obtain an extreme point of the pulse wave; classifying the extreme point of the pulse wave to obtain wave peaks and wave troughs of the pulse wave; respectively calculating height differences of each wave peak and the first wave trough after the wave peak and calculating height differences of each wave peak and the secondwave trough after the wave peak; averaging the calculated height differences to obtain a first mean value of the height differences and setting a first threshold value according to the first mean value of the height differences; and filtering out the extreme point of the pulse wave with an absolute value of an amplitude greater than or equal to the extreme point of the first threshold. The application can filter out abnormal waveforms in the pulse wave and improve accuracy of wave peak and wave trough positioning of the pulse wave.

The present invention provides an RFID reading and writing device, an antenna component thereof and a reading and writing component thereof. A position sensor is arranged in the antenna component. Through the integration of the position sensor in the antenna component, the position of an object to be measured with an RF label relative to the antenna component can be sensed and measured, thus reading and writing equipment can accurately judge whether the object with the read label is in a reading and writing range or not according to the position signal. If the measured object is in the reading and writing range, RF label information is selected, otherwise the RF label information is discarded.

The invention discloses a photovoltaic system fault arc detection method under the common-mode signal interference condition. The nonzero differential signal output between adjacent photovoltaic clusters through gain calibration, the situation that input signals of a direct-current fault arc detection device are influenced by differential factors except the fault arc events is excluded, detection signals between any adjacent photovoltaic clusters of a photovoltaic system are processed through differential conversion, the fault arc detection is conducted through the direct-current fault arc detection device by means of the differential signals, fault photovoltaic modules are cut off when fault arcs happen, and the photovoltaic system unceasingly runs till the balance gain exceeds the set range. The method solves the problem that when the direct-current fault arc detection module detects the electricity quantity of a normal line, due to the influences of common-mode signals, maloperation is caused. It is avoided that the full system stops running when local fault arcs happen, and the fault arc positioning and protecting capacity of the system under the interference of the common-mode signals is improved.

The invention provides a high-order mode filter, which comprises an optical fiber, wherein a cladding waveguide is arranged in a cladding on the outer side of a fiber core of the optical fiber, the cladding waveguide has a certain length, and the length direction of the cladding waveguide is consistent with the length direction of the optical fiber. The mode coupling is realized by utilizing the energy overlapping between the evanescent fields of the fiber core and the cladding waveguide, so that the filtering of the high-order mode of the fiber core is realized, and the device has important application value for inhibiting the mode instability effect in a high-power fiber laser and improving the output power of the laser.

The embodiment of the invention provides a terahertz filter and a manufacturing method thereof. The terahertz filter comprises a polymeric material layer and a metal layer; the metal layer comprises sheet structures; each sheet structure comprises transverse strips and longitudinal strips; and the sheet structure is periodically distributed in the polymeric material layer. By means of the embodiment of the invention, the filter range of the filter is enlarged; and furthermore, the terahertz filter is applicable to other systems more easily.

The invention provides a single-tone interference filtering method and device. The single-tone interference filtering method comprises the steps of acquiring the frequency at which an initial single-tone interference signal is located, setting an initial frequency control word of a numerically controlled oscillator according to the frequency at which the initial single-tone interference signal is located; capturing the frequency of a single-tone interference signal in an input signal by using a Costas loop, and keeping tracking the frequency and the phase of the single-tone interference signal in the input signal; carrying out filtering by using a control signal acquired by multiplying a local oscillation signal generated by the numerically controlled oscillator and the input signal to acquire amplitude information of the single-tone interference signal in the input signal; modulating the local oscillation signal according to the amplitude information to acquire a local single-tone interference signal; and subtracting the local single-tone interference signal from the input signal so as to realize filtering of the single-tone interference signal. The method provided by the invention has extremely small influences for original useful signals while filtering the single-tone interference signal, and can track variations in the single-tone frequency within a certain range.

The invention provides a face video image quality optimization method. The face video image quality optimization method comprises the steps of collecting a video sequence containing a face; extractinga target face image in the video sequence; and carrying out no-reference quality evaluation on the target face image; and extracting a target face image in the video sequence by using an inter-framedifference method. According to the method, non-reference quality evaluation is carried out on the video sequence images, quality scores are given to the images of the same identity, and screening ofthe high-quality images and filtering of the low-quality images are achieved.

The invention discloses a heterogeneous iris classifier designing method capable of quickly filtering out fake irises during iris recognition and pretreatment. The method includes: designing of an improved fake iris database, iris image assessment based on MSE (mean square error) analysis, iris image assessment based on SNR (signal to noise ratio) analysis, edge detection and iris image assessment based on improved edge acutance analysis. An iris image assessment system combining bilateral filtering, MSE analysis and SNR analysis is adopted innovatively in the field of iris recognition to realize efficient and stable filtering of irrelevant category iris attack, gray features of defocusing iris images, motion blur iris images and pupil-beautifying iris images and noise distribution features. Further, an iris image assessment system based on improved edge acutance analysis is innovatively designed aiming at edge acutance features of synthetic irises having high simulation degree. Finally, quick and stable filtering of the fake irises during iris recognition and pretreatment is realized.

The invention discloses a target determination method and device, equipment and a computer readable storage medium. The target determination method comprises the following steps: acquiring an acquired monitoring image, performing target detection on the monitoring image to obtain at least one initial target, sequentially determining whether each initial target is a true target or not, and taking all the true targets as final targets, the determination of target frame parameters comprising: determining a three-dimensional model of a target object according to the target object; moving the position of the three-dimensional model in a world coordinate system associated with the image coordinates; converting the three-dimensional model of the position to an image coordinate system to obtain a target frame parameter; or, the determination of the target frame parameters comprising the following steps: acquiring a historical monitoring image; performing target detection on the historical monitoring image to obtain a target frame of the target object; and determining target frame parameters according to the target frame. According to the technical scheme provided by the embodiment of the invention, the false target object in the blind area is filtered, the false alarm rate is reduced, and the product performance and the user experience are improved.

The invention discloses a high-temperature air disturbance filtering method based on structural light projection and digital image correlation. A high-temperature air disturbance detection system based on structured light projection and digital image correlation, in each stage of measurement, performs structured light projection and monochromatic light projection on an object to be measured by using a structured light projector, acquires grayscale images, performs Fourier analysis on two grayscale image sequences, determines whether the low-frequency term in the Fourier spectrum of the planarstructure light grayscale image is a heat flow disturbance confidence probability and filters out the same, obtains morphologic information and out-of-plane deformation information by Fourier profile profilometry; filters out the heat flow disturbance of the spectrum of the monochromatic light illumination image by using the confidence probability, and then performs inverse Fourier transform anddigital image correlation operation to obtain in-plane deformation information with the heat flow disturbance filtered out. The method can meet the requirements of modern metering for high temperature, high speed and high precision, and reduce the influence of air disturbance under high-temperature measurement environment.