51 results about "Hybrid filter" patented technology

The invention discloses an infrared CO2 high-precision detection system and method based on a self-adaptive balance signal, and belongs to the field of gas detection. The invention discloses an infrared CO2 high-precision detection system and method based on a self-adaptive balance signal. The infrared CO2 high-precision detection system comprises a sensing module, a signal conditioning and collecting module and a self-adaptive filtering processing module. According to the method, the problems of contradiction between response speed and stability, discrete signal tracking lag and sensitivity to environmental interference in the prior art are solved, the weight of a filtering channel is adaptively and dynamically adjusted, and the advantages of a fast filtering channel and a slow filtering channel are combined, so that balance between dynamic response and steady-state precision is realized; the problem of tracking lag of discrete signals is solved by analyzing the change rate of the signals in real time and dynamically adjusting a filtering strategy; and through a hybrid filter and an environment compensation algorithm, the influence of temperature and humidity changes on a detection result is reduced, so that the long-term stability of the sensor is improved.

The invention relates to a tunable high-repetition-frequency high-power multi-wavelength optical pulse generation system, which belongs to the technical field of optoelectronic equipment and is structurally characterized in that the output end of a seed pulse source (1) is connected with the input end of a repetition-frequency multiplication module (2), and the output end of the repetition-frequency multiplication module (2) is connected with the input end of a shaping optical path module (3); the output end of the shaping light path module (3) is connected with the input end of the power amplification module (4), and the output end of the power amplification module (4) is connected with the input end of the pulse compression module (5); a multi-wavelength pulse seed source is designed by using a plurality of hybrid filters, and tunable multi-wavelength, high-repetition-frequency and high-power narrow pulse output is realized by using technologies such as an MZI-Sagnac hybrid repetition-frequency multiplication structure and the like.

A bandpass filter is provided that includes series acoustic resonators and shunt acoustic resonators. The shunt acoustic resonators include a first transversely-excited film bulk acoustic resonators (XBAR) that includes a diaphragm comprising a portion of a piezoelectric layer that is over a cavity of the first XBAR and a first interdigital transducer (IDT) on a surface of the piezoelectric layer. The first XBAR is connected between (i) a node directly between a first series acoustic resonator of the plurality of series acoustic resonators and the input port, and (ii) a ground of the bandpass filter. The series and shunt acoustic resonators include one or more solidly-mounted XBARs that includes a portion of a second piezoelectric layer that is solidly mounted over a substrate with a Bragg reflector disposed therebetween.

The invention belongs to the technical field of positioning and navigation, and discloses a precise single-point positioning method and device based on a single Beidou, and the method comprises the steps: building a three-frequency non-difference and non-combination precise single-point positioning observation model based on a Beidou satellite system, estimating the delay of an ionized layer through a non-difference and non-combination method, and extracting the electron content in a line-of-sight direction; carrying out iterative solution on the electron content in the sight line direction by using a multiplication algebraic reconstruction algorithm to obtain the electron density of the ionized layer; taking ionosphere electron density as prior information, and adding ionosphere constraint estimation to obtain a state vector of a receiver; and calculating a signal quality evaluation coefficient of the Beidou satellite system, and according to the signal quality evaluation coefficient, updating the state vector of the receiver by using a hybrid filter to obtain a final positioning position. According to the invention, high-precision regional ionosphere delay modeling and Beidou three-frequency non-difference and non-combination precision single-point positioning under ionosphere constraint are realized, and the positioning precision and robustness of a single Beidou precision single-point positioning system are effectively improved.

This invention discloses a computer vision-based method for ship traffic situational awareness, comprising: collecting ship traffic data and preprocessing it to obtain a video frame sequence; performing ship target detection and outputting a set of ship detection results; constructing an improved ByteTrack model and outputting a set of trajectory segments; performing a Poisson-Dobernoli hybrid filter to obtain a set of ship tracks; performing coordinate mapping and track element calculation, calculating speed, heading, and position; performing risk event determination and outputting risk event results; and performing graded early warning and interpretable processing to generate early warning information. This invention, through the collaborative processing of the improved ByteTrack model and the Poisson-Dobernoli hybrid filter, achieves graded early warning and interpretable output of risk events for ship targets under complex sea surface imaging conditions.

The invention discloses a lumped element and acoustic resonator mixed filtering balun and radio frequency front end system, which comprises a first module, a second module, a third module, a fourth module, a fifth module, a sixth module and a seventh module, and is characterized in that the first module, the third module and the fourth module are acoustic-electric mixed modules and comprise lumped elements and acoustic resonators; the first module, the fifth module, the sixth module and the seventh module are used for forming a plurality of transmission zero points outside a passband of the filtering balun so as to enhance the selectivity and out-of-band rejection of the edge of the passband, and the second module, the fifth module, the sixth module and the seventh module are electric modules, are formed by lumped elements and are used for realizing the passband of the required filtering balun. Reflection loss caused by impedance mismatching when discrete devices are cascaded can be avoided, insertion loss of a system is remarkably reduced, the size and cost of the system are reduced, the broadband advantage of an electrical filter and the high selectivity advantage of an acoustic filter are integrated, and meanwhile the high-performance filtering balun which is miniaturized, large in bandwidth and high in selectivity is achieved.

The invention provides a manufacturing method of a hybrid filter, and the method comprises the steps: providing a first substrate, and forming a piezoelectric layer on the first substrate; forming a first electrode and a bonding layer on the piezoelectric layer; an etching groove and a connecting conductive column are formed in the bonding layer, the first electrode at the preset position is exposed in the etching groove, and the connecting conductive column penetrates through the bonding layer and is connected with the piezoelectric layer and / or the first electrode; a second substrate is provided, a passive element and a leading-out conductive column are arranged in the second substrate, the leading-out conductive column is electrically connected with the passive element, the bonding layer and the second substrate are bonded, and the leading-out conductive column is electrically connected with the connecting conductive column; the first substrate is removed, and a second electrode is formed on the side, away from the second substrate, of the piezoelectric layer. According to the manufacturing method of the hybrid filter, the passive element is arranged in the second substrate, integrated connection of the passive element is achieved in the bonding process of the bonding layer and the second substrate, the process is simple, the device size can be reduced, and the cost can be reduced.

The invention discloses a hybrid filter, and relates to the technical field of radio frequency. The hybrid filter comprises a substrate, a piezoelectric layer, a transmission line resonator, an acoustic wave device and a connecting layer, wherein the piezoelectric layer is arranged on the surface of the substrate, and the piezoelectric layer is made of a high-dielectric-constant piezoelectric material; the transmission line resonator is arranged on the surface of the piezoelectric layer or arranged in the piezoelectric layer; the acoustic wave device is arranged in the piezoelectric layer; and the connecting layer is arranged on the surface of the piezoelectric layer and is used for connecting the transmission line resonator and the acoustic wave device. Therefore, the transmission line resonator based on the high-dielectric-constant piezoelectric layer and the acoustic wave device in the same piezoelectric layer form a three-dimensional and layer-stacked hybrid filter structure, so that the miniaturization of the hybrid filter formed by the high-dielectric-constant transmission line resonator and the acoustic wave device is realized; therefore, the problems of impedance mismatch, insertion loss superposition and the like are effectively reduced while the excellent performances of high selectivity, wide band and high power tolerance are realized.

Aspects of the present disclosure include a filtration system. The filtration system includes a mask and a hybrid filter for use with an activated carbon-based filter and attachable to the mask. The mask may include an interface around a periphery of the mask for sealing engagement with a skin surface of a user. The hybrid filter may include a chamber configured to receive the activated carbon-based, an electro-ionic filter, and a Faraday cage. The electro-ionic filter is in series with the material-based filtration element and includes a plurality of electrodes arranged in series with each other. The electrodes of the plurality of electrodes are evenly spaced apart from each other in an alternating positive-polarity negative-polarity sequence. The Faraday cage surrounds at least the electro-ionic filter.

This invention provides a performance verification device and method for a ground-to-air frequency domain electromagnetic detection receiving system, belonging to the field of ground-to-air detection technology. It includes a transmission link for generating a standardized single-frequency excitation magnetic field, comprising an inverter and modulation module, a hybrid filtering module, a dynamic power supply amplifier module, and a transmission calibration coil module connected in sequence; and a receiving and processing link for receiving the excitation magnetic field and evaluating coil performance, comprising a receiving coil module, an attitude correction and noise suppression module, a data processing module, and a performance evaluation module. This invention enables rapid verification of the receiving device, especially in high-altitude areas, allowing for the early detection of potential equipment problems through automated processes, reducing time and economic losses caused by equipment failure.

The invention belongs to the technical field of vibration precision test, and discloses a data acquisition and processing method for satellite micro-vibration ground test. Comprising five core steps of original vibration signal acquisition, adaptive oversampling, analog-digital hybrid filtering, dynamic extraction recovery and micro-vibration transfer characteristic extraction. Through an analog-to-digital hybrid filtering architecture and in combination with an intelligent oversampling-extraction noise reduction technology, micro-vibration signal measurement with a high signal-to-noise ratio is realized. The method has the main technical advantages that various test items can be completed by using a single-specification sensor; a dynamic parameter adjustment mechanism can automatically optimize a processing strategy according to signal characteristics, and the test adaptability is remarkably improved.

The invention provides a cloth defect detection method and device based on machine vision, and relates to the technical field of cloth defect detection methods, and the method comprises the steps: collecting a gray level image of a cloth surface, and generating a mixed filtering core to filter pixel points of the image; constructing a double-flow feature extraction model to extract a microcosmic feature map and a texture feature map, constructing a channel attention weight coefficient by adopting channel splicing, generating a space attention weight coefficient of each pixel point at the same time, and performing multi-scale feature fusion on the channel attention weight coefficient and the space attention coefficient of the pixel point to obtain a multi-scale feature fusion image; generating a fused feature map; and constructing a thermodynamic diagram of the feature map by using a convolutional network, constructing an adaptive threshold, and generating a binarized image of the flaws. According to the design of the double-flow feature extraction model, the characterization of multiple types of flaws is improved, a weight coefficient is generated through channel splicing, an important feature channel is amplified, a suspected flaw area is focused, and the thermodynamic statistical characteristics of a local area are embodied through the use of a thermodynamic diagram.

The invention relates to the technical field of vehicle safety control, in particular to an air bag collision decision-making method and device, computer equipment, a storage medium and a computer program product, and is implemented based on an air bag collision decision-making processor, and a self-adaptive hybrid filter module and a high-precision hardware integrator module are integrated in the processor. The method comprises the following steps: acquiring acceleration sensor data of a vehicle in parallel based on a pre-deployed sensor interface, and inputting the acceleration sensor data into a self-adaptive hybrid filter module for processing to obtain acceleration sensor data after filtering processing; inputting the filtered acceleration sensor data into a high-precision hardware integrator module, and carrying out parallel calculation on a speed value and a displacement value in a preset clock period; and analyzing the speed value and the displacement value based on a preset collision judgment rule, and executing an airbag control decision based on an analysis result. By adopting the method, the real-time performance of airbag decision can be improved and the CPU load can be reduced on the premise of ensuring the collision detection accuracy.

This invention provides a machine vision-based method and apparatus for detecting fabric defects, belonging to the technical field of fabric defect detection methods. The method includes acquiring a grayscale image of the fabric surface and generating a hybrid filter kernel to filter the pixels of the image; constructing a two-stream feature extraction model to extract microscopic and texture feature maps; using channel concatenation to construct channel attention weight coefficients and simultaneously generating spatial attention weight coefficients for each pixel; fusing the channel attention weight coefficients and the spatial attention weight coefficients of the pixels at multiple scales to generate a fused feature map; using a convolutional network to construct a heatmap of the feature map; constructing an adaptive threshold to generate a binarized image of the defect. The two-stream feature extraction model design improves the characterization of multiple types of defects. By generating weight coefficients through channel concatenation, important feature channels are magnified, focusing on suspected defect areas. The use of the heatmap reflects the thermal statistical characteristics of local areas.

This invention relates to the field of intelligent monitoring technology and discloses an intelligent monitoring platform for equipment status based on data fusion and IoT technology. Based on a scene feature quantification and capture module, it uses multi-scene adaptable sensors to collect the physical state of equipment and scene factors. A two-dimensional feature vector is constructed through modal completion and spatiotemporal alignment. Scene labels are generated by combining dynamic threshold matching. A data fusion parameter dynamic adjustment module uses a structured collaborative weighting algorithm and multi-modal hybrid filtering to solve the problem of missing dynamic adaptation in the fusion layer. A model lightweight fine-tuning module optimizes parameters and incrementally distributes them through a process of difference identification, output layer fine-tuning, and federated aggregation. A scene-constrained decision-making module quantifies costs based on labels and generates work orders using a multi-objective optimization algorithm. A feedback optimization module adjusts and solidifies parameters through three-dimensional evaluation and reinforcement learning. Combined with unique equipment identity binding and quality supervision platform storage visualization, it achieves accurate cross-scene monitoring of equipment across multiple fields.

A radio-frequency module includes a module substrate, a hybrid filter for 5th Generation New Radio (5G-NR) n77 including a first acoustic wave resonator element, a first inductor, and a first capacitor, a filter for 5G-NR n79 including a second acoustic wave resonator element and a second inductor, power amplifiers, a third inductor coupled between the power amplifier and the hybrid filter, and a fourth inductor coupled between the power amplifier and the filter. The first inductor, the second inductor, the third inductor, and the fourth inductor are disposed at a major surface or inside the module substrate. The distance between the first inductor and the third inductor is larger than the distance between the second inductor and the fourth inductor.

Reduction of suppression characteristics. A hybrid filter (2) of a high-frequency module (1) has an elastic wave filter (20), a first circuit (2C). A plurality of circuit elements (21) of the first circuit (2C) includes a plurality of inductors (L1, L2), a plurality of capacitors (C0, C1, C2). A second input / output portion (26) of the elastic wave filter (20) includes a first connection terminal (26A), a second connection terminal (26B), a conductor portion (263). A second circuit (2A) that the first circuit (2C) has is connected between the first connection terminal (26A) and a ground terminal (17) and includes at least one circuit element (21). A third circuit (2B) that the first circuit (2C) has is connected between the second connection terminal (26B) and a second signal terminal (12) and includes at least one inductor (L2) of the plurality of inductors (L1, L2) and at least one capacitor (C2) of the plurality of capacitors (C0, C1, C2).

An air purifier and a method for controlling the same are provided. The air purifier includes a fan for suctioning air, an odor sensor for sensing a concentration of odor, a hybrid filter including activated carbon and a photocatalyst, and a light emitting diode (LED) arranged in an area where the photocatalyst included in the hybrid filter is positioned and emitting light. Identification is made as to whether the concentration of odor exceeds a first threshold value, the fan is driven to suction air to reduce the concentration of odor when the concentration of odor exceeds the first threshold value, and the LED emits light to the photocatalyst based on a concentration of carbon dioxide in the air if the sensed concentration of odor is not reduced to a second threshold value after a threshold time since driving of the fan.

The application discloses a tunable high-repetition-frequency high-power multi-wavelength optical pulse generation system, which belongs to the technical field of optoelectronic devices and has the structure that the output end of a seed pulse source (1) is connected with the input end of a repetition frequency multiplication module (2), the output end of the repetition frequency multiplication module (2) is connected with the input end of a shaping optical path module (3), the output end of the shaping optical path module (3) is connected with the input end of a power amplification module (4), and the output end of the power amplification module (4) is connected with the input end of a pulse compression module (5). The application designs a multi-wavelength pulse seed source by using multiple hybrid filters, and realizes tunable multi-wavelength, high-repetition-frequency, high-power narrow pulse output by using an MZI-Sagnac hybrid repetition frequency multiplication structure and other technologies.

The application discloses a kind of based on trajectory poisson multi bernoulli hybrid filtering coherent matching field tracking method and system, belong to underwater acoustic technical field.Extract local peak value from the multiple frame ambiguity surface obtained from coherent matching field processing and carry out clustering, construct three-dimensional measurement set including target distance, depth and radial velocity estimation information;On this basis, establish matching field trajectory state space model, utilize trajectory poisson multi bernoulli hybrid filter in trajectory space to carry out state prediction, and update predicted result in combination with three-dimensional measurement set;Realize data association based on the likelihood consistency of distance, depth and radial velocity, to complete target trajectory estimation.The application is extracted to the peak value of three-dimensional ambiguity surface by clustering processing, effectively reduces the large number of highly similar redundant trajectories near real trajectory, reduces the calculation burden of algorithm and the uncertainty of data association.The matching field tracking problem under low signal-to-noise ratio environment is solved.

The application discloses a transformer voiceprint fault recognition method and system, and the method comprises the following steps: extracting a hybrid filter power spectrum feature vector in a target transformer voiceprint signal; according to a preset multi-granularity dynamic multi-dimensional feature fusion algorithm, fusing the hybrid filter power spectrum feature vector with a preset multi-dimensional feature vector to obtain an MDF vector of at least one frame of transformer voiceprint sub-signal, and splicing the MDF vectors of the transformer voiceprint sub-signals of the frames to generate a fusion feature vector corresponding to the target transformer voiceprint signal; constructing a transformer voiceprint recognition model based on a full-span sparse attention mechanism of a structured factor; inputting the fusion feature vector into the transformer voiceprint recognition model to output a fault recognition result. The problems such as strong noise interference, weak feature distinguishability and poor model robustness in transformer fault voiceprint recognition in a high-noise environment are effectively solved, and the accuracy and robustness of fault recognition are significantly improved.

A radio-frequency module includes a module substrate having main surfaces opposite to each other, a hybrid filter having a first acoustic wave resonator, a first inductor, and a first capacitor, and a first radio-frequency component, wherein a pass band width of the hybrid filter is greater than a resonant band width of the first acoustic wave resonator, one of the first acoustic wave resonator, the first inductor, and the first capacitor is disposed on the main surface, and the first radio-frequency component is disposed on the main surface.

Vehicles or machinery equipped with full flow spin-on, canister or reusable filters can benefit by including advanced or bypass grade parallel filtration. Incorporating advanced filtration is generally difficult due to impractical lubrication system access, cramped engine bays, and some installation solutions require engine modifications and hardware. An apparatus of the present invention provides advanced filtration when used inside well-known manufactured forms of spin-on, cartridge, or reusable filters. The unit installs as a complete unit, without modifications, or external hardware to any engine at the spin-on filter point of attachment, inside the canister housing, or inside a reusable filter form. The apparatus uses the structures of the normally provided filter to enable a bolt-on installation. The apparatus increases filtration efficiency, capacity, easier maintenance, while providing environmental benefits.

The embodiment of the invention provides a fast target tracking method and device based on hybrid filtering, and the method effectively fuses the stability of alpha-beta filtering and the accuracy of Kalman filtering through constructing a layered hybrid filtering architecture. A lightweight alpha-beta filter is used for processing most of data frames to remarkably reduce the calculation load of a system, and a Kalman filter is timely triggered to perform state correction and synchronization, so that the balance between tracking stability and estimation precision is realized in a high-speed data updating environment, and meanwhile, the method has good adaptive capacity and engineering practicability.

The application discloses a rolling bearing residual life prediction method based on a hybrid filter and state monitoring, first acquires horizontal vibration signals in the operation process of the rolling bearing; then calculates kurtosis and root mean square (RMS) values by using the horizontal vibration signals, and respectively determines the kurtosis and RMS of the horizontal vibration signals as state monitoring indexes and prediction indexes; then adopts a Kalman filter algorithm (KF) to monitor the operation state of the bearing and determine a fault starting point (FST); when the bearing enters a degradation state, a hybrid filter algorithm combining a particle filter (PF) and an unscented Kalman filter (UKF) is adopted to estimate future RMS values; finally, a sliding window and a linear model are established on the obtained RMS estimation values to determine a failure threshold of the bearing, and the moment when the RMS value exceeds the failure threshold is judged to obtain a residual life prediction result. The application determines the fault starting point by monitoring the operation state of the rolling bearing, and obtains an accurate residual life prediction result.

The embodiment of the application discloses a hybrid filter, comprising: a band-stop filter and a band-pass filter, the band-stop filter comprising an input end, the band-pass filter comprising an output end, the output end of the band-pass filter being connected with the input end of the band-stop filter; the band-stop filter and the band-pass filter being connected in series; the band-pass filter comprising a substrate, and the band-stop filter being arranged on the substrate. The technical scheme of the embodiment of the application realizes filtering with large bandwidth and high roll-off, and has high integration and good reliability.

The invention discloses a hybrid filter. The hybrid filter comprises an electromagnetic filter which adopts a distributed structure and is used for forming a band-pass main body of the hybrid filter; the lumped filter is connected with the electromagnetic filter, and the lumped filter is used for improving out-of-band rejection of the hybrid filter; the electromagnetic filter and the lumped filter are integrated in the same multi-layer substrate and wafer structure, and the wafer plastic package is packaged above the substrate. The hybrid filter can meet the high-frequency design and processing requirements.

The application provides a kind of unmanned plane compound guiding method based on variable structure and tracking method, the line-of-sight angle signal and line-of-sight angle rate signal of aircraft and target are measured by guide head, then the yaw angle and yaw angle velocity signal of aircraft are measured by gyroscope, and the tracking angle error signal and tracking angle error rate signal are obtained by comparison respectively;Then the final guiding acceleration signal is introduced to be converted into sideslip angle estimation signal, and then the tracking speed error signal is generated;The error proportion, differential, integral signal is mixed to obtain variable structure sliding mode signal;Then a third-order linear differential proportion hybrid filter is designed to obtain tracking angle error rate differential filtering signal and sliding mode filtering differential signal respectively;Then based on sliding mode signal and its differential signal, an adaptive method is used to design interference compensation guiding acceleration signal, and finally the variable structure sliding mode nonlinear and fractional power change guiding acceleration signal are superimposed to obtain the final guiding acceleration signal, to realize accurate guidance to target.

A bandpass filter including a series acoustic resonator and a parallel acoustic resonator is provided. The parallel acoustic resonator includes a first laterally excited thin film bulk acoustic resonator (XBAR) including a diaphragm and a first interdigital transducer (IDT) on a surface of a piezoelectric layer, the diaphragm including a portion of the piezoelectric layer above a cavity of the first XBAR. The first XBAR is connected between (i) a node located directly between a first series acoustic resonator of the plurality of series acoustic resonators and the input port and (ii) a ground of the bandpass filter. The series acoustic resonator and the parallel acoustic resonator include one or more solid state mounted XBARs including a solid state mounted portion of the second piezoelectric layer over the substrate with a Bragg reflector disposed therebetween.

The present disclosure provides a hybrid filter, a preparation method thereof, and a filtering apparatus. The hybrid filter includes a first substrate (100) and a second substrate (200) disposed oppositely, a first space (300) is disposed between the first substrate (100) and the second substrate (200), at least one of the first substrate (100) and the second substrate (200) is provided with a film bulk acoustic resonator (30), at least one of the first substrate (100) and the second substrate (200) is provided with at least one passive filter (40), the film bulk acoustic resonator (30) is disposed in the first space (300) and is connected with the passive filter (40), the passive filter (40) includes a filtering inductor and a filtering capacitor, and the filtering inductor has a three-dimensional spiral inductor structure.