36results about How to "Immune to noise" patented technology

There are included a transmission modulator (103) for impulse-modulating the data to be transmitted, thereby producing a subcarrier; a subcarrier control section for controlling the subcarrier to be utilized for communication, depending on the amount and significance of information and on the propagation condition of communication; and an antenna section (101) for radiating the subcarrier signal. This structure allows selection of a subcarrier suitable for information to be transmitted and for propagation environment, and hence allows a communication to be performed which exhibits a high flexibility and a high noise immunity. Thus, there can be provided a communication apparatus that can perform a high-quality, high-stability communication exhibiting an improved interfering immunity and that performs a flexible impulse communication.

The invention discloses a radar interference signal feature-level fusion identification method based on a deep convolutional neural network, and belongs to the field of radar interference signal identification. The method aims to solve the problems that feature parameters of radar interference signals at present depend on manual extraction, are easily affected by noise and have feature redundancy.The method comprises the following steps: establishing a radar interference time domain data set, extracting feature vectors from radar interference time domain data in the radar interference time domain data set in two different forms, and carrying out series fusion on the two extracted feature vectors; training a support vector machine by adopting the fused feature vectors to obtain a trained radar interference signal feature-level fusion recognition model; and inputting the collected test sample into the identification model to obtain a radar interference signal identification result. According to the method, the CNN is utilized to extract the deep features of the radar interference signals, and different radar interference signal data fusion models are designed at the feature level, so that signal identification is not affected by noise, and meanwhile, the feature redundancy phenomenon is eliminated.

Systems and methods for detection of charge switching element failure (e.g., charge FET switching element) in a battery system, such as a battery system of an information handling system (e.g. notebook computer), in which an increase in cell voltage is employed as a criteria for detecting charge switching element failure.

There are included a transmission modulator (103) for impulse-modulating the data to be transmitted, thereby producing a subcarrier; a subcarrier control section for controlling the subcarrier to be utilized for communication, depending on the amount and significance of information and on the propagation condition of communication; and an antenna section (101) for radiating the subcarrier signal. This structure allows selection of a subcarrier suitable for information to be transmitted and for propagation environment, and hence allows a communication to be performed which exhibits a high flexibility and a high noise immunity. Thus, there can be provided a communication apparatus that can perform a high-quality, high-stability communication exhibiting an improved interfering immunity and that performs a flexible impulse communication.

A touch screen digitizing system comprising a touch screen unit and an analog to digital converter. The touch screen unit includes a first resistive sheet with opposing first and second terminals and a second resistive sheet with opposing third and fourth terminals. The first and second resistive sheets are alternatively energized through the first, second, third, and fourth terminals. The analog to digital converter has an input coupled to the third terminal when the first resistive sheet is energized and the second resistive sheet is not, and coupled to the first terminal when the second resistive sheet is energized and the first resistive sheet is not, a first reference terminal dynamically coupled to a first reference voltage, a second reference terminal dynamically coupled to the second reference voltage, and an output terminal providing digital output data.

A touch screen digitizing system comprising a touch screen unit and an analog to digital converter. The touch screen unit includes a first resistive sheet with opposing first and second terminals and a second resistive sheet with opposing third and fourth terminals. The first and second resistive sheets are alternatively energized through the first, second, third, and fourth terminals. The analog to digital converter has an input coupled to the third terminal when the first resistive sheet is energized and the second resistive sheet is not, and coupled to the first terminal when the second resistive sheet is energized and the first resistive sheet is not, a first reference terminal dynamically coupled to a first reference voltage, a second reference terminal dynamically coupled to the second reference voltage, and an output terminal providing digital output data.

The invention discloses a mechanical system of a scientific research and teaching test stand of a four-rotor unmanned aerial vehicle. The core of the mechanical system is that the four-rotor unmannedaerial vehicle, which can do motions by multiple degrees of freedom, is converted into the unmanned aerial vehicle test stand which can only do a rolling motion by a single degree of freedom; the mechanical system comprises the four-rotor unmanned aerial vehicle and an aluminum profile stand; the four-rotor unmanned aerial vehicle part is composed of propellers, a brush-less motor, pipe clips, a carbon fiber pipe, upper and lower central plates, a central shaft, an angle coder and a coder bracket, wherein one end of the carbon fiber pipe is fixedly connected to the central plates by virtue ofthe pipe clips and bolts, and the other end is connected to the brush-less motor by virtue of the pipe clips and bolts; the propeller is arranged on the brush-less motor; the central shaft is fixedlyconnected to the lower central plate; the central shaft is fixedly connected to the aluminum profile stand by virtue of an aligning bearing device; and the aligning bearing device is composed of a vertical bearing seat and an aligning bearing. The aluminum profile stand is defined by connecting a plurality of 30*30 aluminum profiles by virtue of angle pieces, T-shaped bolts and nuts / with the application of the test stand, the most urgent problems in researches of current multi-rotor unmanned aerial vehicles can be solved.

A low-current grounding fault line selection method based on MEEMD decomposition and high-frequency energy comprises the following steps: 1, decomposing and extracting a high-frequency attenuation oscillation component of a zero-sequence current signal, and obtaining energy in a time domain of the zero-sequence current signal; 2, executing line selection according to the high-frequency energy ratio of each line and all the lines; 3, carrying out simulation experiments under different fault conditions. In order to avoid modal aliasing and endpoint effects, reduce sensitivity to noise and solvethe technical problem that zero-sequence current frequency bands cannot be accurately distinguished in the prior art, the invention provides a low-current grounding fault line selection method based on MEEMD decomposition and high-frequency energy.

An inflatable in-ear device (1) incorporates a pressure regulating mechanism, for example a simple length of tubing (30) or a relief / unloader valve (50), at the inflow or outflow from the inflating sheath (8) inserted within the ear canal (22), thus allowing pressure regulation of the settable compound being injected for inflation of the sheath (8) while avoiding excesses in pressure in the inflating compound and ensuring the comfort of the individual.

An apparatus for controlling a power converter operating in response to a modulating signal during successive switching cycles includes: (a) A signal sensor coupled with the converter and sensing an extant signal during the extant cycle. (b) A signal level predictor coupled for receiving a reference signal and establishing a predicted level for the extant switching cycle. (c) A comparer coupled with the signal sensor and the signal level predictor for presenting a first output signal when the extant signal and the predicted signal level have a first relationship and for presenting a second output signal when the extant signal and the predicted signal level have a second relationship. (d) A control unit coupled with the comparer and with the converter for interrupting presentation of the modulating signal to the converter device when the comparing unit presents a selected one of the first and second output signals.

The present invention relates to a DC to DC converter system (100), which comprises converter means (110) and control means (120). The switching sequence of the first, second and third switching means (S1, S2, S3) is controlled by the control means (120) in such a manner that, during the on-time of the second switching device (S2), the first current (II) that flows through the inductive storage element (L) of the converter means (110) can be indirectly measured through the first voltage (VC1) across the capacitive storage element (C1), which is being charged with a second current (12) proportional to the input voltage (Vin) of the converter means (110) and provided by the current source (CS). Thus, the on-time of the second switching means (S2) varies inversely proportional to the input voltage (Vin).

The invention discloses a real-time fluorescence imaging intelligent enhancement method and device, and the method comprises the steps: training a neural network model in advance through self-supervised learning, loading the trained neural network model to an arithmetic unit, and enabling the loading process to comprise the optimization of the neural network model; converting the image through an imaging system interface to obtain a continuous data stream, inputting the continuous data stream into an arithmetic unit, processing the continuous data stream through a neural network model trained on the arithmetic unit, and outputting the processed data in the form of the continuous data stream, wherein the data processing time sequence is processed, so that real-time data processing and synchronous display are realized. According to the method, image enhancement can be carried out in real time while the fluorescence microscope is used for shooting, so that the signal-to-noise ratio of data is improved.

The invention provides an audio playing method and apparatus, and belongs to the technical field of a terminal. The method comprises the steps of obtaining a first audio data stream of a to-be-playedaudio and a noise data stream of an external environment; performing spectral analysis on the first audio data stream and the noise data stream, and determining whether spectrums of the first audio data stream and the noise data stream meet a preset interference condition or not; when the spectrums of the first audio data stream and the noise data stream meet the preset interference condition, performing spectral translation on the first audio data stream to obtain a second audio data stream; and playing the second audio data stream. The first audio data stream of the to-be-played audio and the external noise data stream are subjected to the spectral analysis; and when the spectrums of the first audio data stream and the noise data stream meet the preset interference condition, the first audio data stream is subjected to the spectral translation to be played, so that the played audio is not interfered by noises, a user can hear audio contents clearly, and the audio playing validity andintelligence are improved.

A high-voltage side grid drive circuit resistant to power supply noise interference comprises a floating power supply VB-VS, a dual pulse generating circuit, a high-voltage level shift circuit, a noise filtering circuit including a random detuning noise filtering circuit, an RS (reset-set) trigger and an output drive circuit. A common-mode noise filtering circuit is connected onto the random detuning noise filtering circuit, a first output end and a second output end of the common-mode noise filtering circuit are connected with a first input end and a second input end of the random detuning noise filtering circuit, and the common-mode noise filtering circuit comprises six NAND gates and four inverters and is capable of effectively filtering power supply common-mode noises generated during floating of the high-voltage side power supply VB, so that false triggering of the high-voltage side circuit caused by common-mode noise interference is avoided. The common-mode noise filtering circuit adopting a pure digital circuit and without a passive device is simple in structure, and suitable for application of chips of the high-voltage side grid drive circuit, a half-bridge drive circuit and an intelligent power module and the like.

The invention discloses a quiescent voltage stability margin evaluation method and system based on GBRT. The system is characterized by comprising two parts, i.e., an offline part and an online part,wherein an offline training database is established offline so as to cover as many grid structures as possible and to improve the generalization ability of GBRT; a nonlinear relationship between measured values and quiescent voltage stability margins is established based on the GBRT and optimal power flow; online evaluation is to predict the current quiescent voltage stability margin of the powersystem according to the nonlinear relationship established by the offline part and the real-time measurement condition of a current PMU, and to give necessary reminders to dispatchers when stability is insufficient. In addition, a node importance index is calculated, and the PMU is preferentially arranged at the important node, so a prediction index within an error tolerance range is obtained withlower economic cost and better economic performance is obtained. According to the invention, the advantages of mechanism modeling and data mining are combined, so real-time performance is good, and accuracy is high.

The invention discloses an integrated rotation-vibration sensing assembly, which is used for measuring vibration information of at least one rotating device. The rotating device is provided with at least one rotating shaft, and the integrated rotation-vibration sensing assembly comprises at least one rotation detection device for detecting the rotating speed of the rotating shaft, converting the rotating speed into rotating information and outputting the rotating information; a vibration measuring device used for outputting vibration information; and at least one processing device, used for receiving the rotation information and determining a vibration basic frequency band according to the rotation information so as to filter the vibration information and output measurement information corresponding to the vibration basic frequency band. In addition, the invention also discloses a digital vibration sensor with a rotating speed signal.

The invention belongs to the technical field of fault diagnosis of mechanical parts, and in particular relates to a fault diagnosis method for variable working condition bearings based on fast kurtogram and deep residual learning. In this method, the vibration acceleration signal is converted into a series of spectral kurtosis maps through the fast spectral kurtosis map method, and processed into a data set including a training set, a test set and a verification set, and a residual block and a deep convolutional neural network are constructed. The deep residual network uses the data set to train the deep residual network to obtain a trained bearing health status classification model, and the bearing health status classification model can be used to diagnose the bearing health status of the signal to be tested. The feature generated by the method of the present invention, that is, the spectral kurtosis diagram is basically free from noise interference, and the spectral kurtosis diagram of the same fault under different operating conditions has considerable similarity; Learning technology, using its powerful feature self-learning feature, further enhances the robustness of the method to noise and different working conditions.