86 results about "Noise generator" patented technology

The invention relates to an electromagnetic signal transmission method and system and a computer readable storage medium, and the method comprises the steps: inputting an obtained electromagnetic signal to a first noise generator, carrying out the noise addition of the electromagnetic signal based on the first learning interference resistance noise of the first noise generator, and generating a noise interference electromagnetic signal; the first noise generator inputs the obtained first training data into the initial neural network model, injects the first preset interference noise into each network level in the initial neural network model, and performs multi-level fusion processing on the first preset interference noise and the first training data through each network level; iteration training generation is carried out; the first anti-learning interference noise is obtained by performing minimum learning on the first preset interference noise in the iterative training process of the initial neural network model; and transmitting the noise interference electromagnetic signal to a signal receiving device. According to the invention, the problem of low security of electromagnetic signal transmission is solved.

The invention provides a lip synchronization method and device based on diffusion Transform, equipment, a medium and a program product, and relates to the technical field of artificial intelligence processing. The method comprises the following steps: acquiring a source video frame, a target text and a target audio; performing noise adding processing on the source video frame by using a stream matching noise generator to generate a noisy video frame; performing global lip shape synchronization processing based on the noisy video frame, the target text, the target audio and the trained lip synchronization diffusion model, and outputting a lip synchronization video frame; wherein the trained lip synchronous diffusion model is obtained by maskless training based on a video sample, a text sample and an audio sample. According to the embodiment of the invention, noise is added through the stream matching noise generator, the inter-frame jitter phenomenon is reduced, the lip synchronization video frame can be smoothly generated through the trained lip synchronization diffusion model, and the cross-language adaptation capability is improved.

The invention discloses a language learning evaluation method based on a deep learning algorithm, and relates to the technical field of language processing, and the method comprises the steps: receiving a voice signal and original text content, constructing a noisy voice sample through an adversarial disturbance generator, inputting a pre-trained voice recognition model, and outputting a voice recognition text and an anti-noise confidence score; constructing a context semantic graph in the semantic analysis path, generating an edge attention weight, calculating a semantic coherence index, and matching a predefined grammar rule base in the activated grammar analysis path to generate a grammar error tag; and dynamically generating feedback content based on the multi-dimensional evaluation matrix, and updating a preset corresponding threshold value and a rule base weight according to the adoption of the user on the feedback content. According to the method, collaborative quantitative analysis of pronunciation, semantics and grammar problems is realized by constructing a multi-dimensional evaluation matrix of an anti-noise confidence score, a semantic coherence index and a grammar error tag.

The utility model relates to the technical field of enterprise teaching and training, in particular to a noise generator for teaching and training, which comprises a framework, two groups of supporting pieces, a sliding piece, an air blowing pipe, a connecting hose, a regulating valve and a sound production block, the two groups of supporting pieces are arranged on the framework, the sliding piece is slidably connected with the two groups of supporting pieces, one end of the air blowing pipe penetrates through the sliding piece, and the other end of the air blowing pipe penetrates through the connecting hose. One end, far away from the air blowing pipe, of the connecting hose is connected with the adjusting valve, the sound production block is also arranged on the framework, and a first sound production hole, a second sound production hole and a third sound production hole are formed in the sound production block, so that the problems that in the prior art, most employees, especially new employees, have fuzzy concepts on noise levels, and the noise level is poor are solved. The technical problem that the risk of occupational diseases is increased due to the fact that sufficient noise protection knowledge is lacked and effective measures are difficult to take to protect a user is solved.

This invention discloses a method for establishing a network for accurate target tracking in noisy environments, comprising the following steps: setting the number of training iterations for adversarial noise training, the type and magnitude of noise generated by the noise generator, and the balance coefficient of the tracker's loss function; feeding a pair of images into the noise generator, which adds noise to the image pairs according to the set parameters, and then feeding the processed image pairs into the backbone network for feature extraction; classifying and regressing the response map obtained after feature extraction to obtain the tracking result of the current frame, and then iteratively running this process until all video frames of all video sequences in the test dataset are traversed; recording and saving the tracking result of each frame, and quantitatively analyzing the tracking accuracy and tracking success rate. This invention, while maximizing the BCE loss value, minimizes the final tracker loss value through training, thereby enabling the tracker to handle tracking in various noisy environments while maintaining tracking performance on clean videos.

A system for customization of on-road sound production for a vehicle includes one or more noise generators supported relative to the vehicle and configured to produce a soundscape in an environment of the vehicle. The system further includes memory storing instructions that, when executed by one or more processors, cause the processor(s) to generate the soundscape from a sound file based on an indication of a user-preferred sound file of multiple files, an environmental context surrounding the vehicle, or both. The instructions cause the processor(s) to determine whether an operational status of the vehicle is suitable for on-road operation. The instructions cause the processor(s) to further produce, in response to a determination that the operational status of the vehicle is suitable for on-road operation, the soundscape utilizing the noise generator(s) while the operational status of the vehicle is suitable for on-road operation.

The utility model discloses a multi-mode fusion safety protection device in a non-shielding mode. The multi-mode fusion safety protection device comprises double box bodies, a drawer, a white noise generator, a plurality of ultrasonic transmitters, a double-door structure and an incoming call sensing assembly. The double box bodies comprise an outer box body and a middle box body, the middle box body is slidably connected into the outer box body, and an air interlayer is arranged between the outer box body and the middle box body; the drawer is slidably connected into the middle box body through a sliding assembly. The double-door structure is installed at the front end of the drawer and used for sealing the outer box body and the middle box body. Wherein the inner walls of the middle box body and the drawer are respectively provided with a flexible sound insulation layer, and sealing assemblies are respectively arranged between the double-door structure and the front side of the outer box body and between the front sides of the middle box body. White noise and ultrasonic waves can be emitted into the drawer, the noise isolation effect is remarkably improved, information can be effectively prevented from being stolen, and the normal communication function of a mobile phone is guaranteed.

The invention relates to the technical field of computer security, in particular to a feature space backdoor attack method, system and device based on fusion data transaction model parameter constraint and a storage medium. Obtaining an original training data set, constructing a data transaction model, calculating malicious sample loss values, and screening samples with smaller loss values as target samples; poisoning features are randomly extracted from the original data set, discrete noise is generated through a noise generator to form a trigger, the trigger is added to a target sample, a label is turned over, and an attack data set is formed; original training data are sampled, and a toll-snow information matrix of each layer is calculated; using the original model parameters to initialize the backdoor model, adding the L1 norm of the parameter disturbance difference value and the parameter difference constraint term based on the Feisnow information matrix into a loss function, and training the backdoor model; performance fluctuation caused by random sample selection is avoided through sample screening based on loss values, so that the backdoor model maintains the classification capability of clean samples while learning trigger features.

Some embodiments are directed to a brain scanning system including one or more noise generators configured to generate an electromagnetic noise field, the noise generator being arranged for positioning in proximity to the subject's head, wherein during operation of the brain scanning system the generated electromagnetic noise field interacts with the brain's electromagnetic field, resulting in an interfered noise signal.

The invention provides a weak signal noise shaping accumulation detection system and method, and the system comprises a noise generator which is used for generating noise with a set amplitude; the first input end of the summator is used for receiving a weak signal to be detected, the second input end of the summator is connected with the noise generator, and the summator is used for superposing the weak signal and the noise to obtain a synthetic signal; the input end of the analog-to-digital converter is connected with the output end of the summator, and the analog-to-digital converter is used for converting the synthesized signal into a digital signal; the input end of the signal accumulation and detection module is connected with the output end of the analog-to-digital converter, and the signal accumulation and detection module is used for sampling and accumulating the digital signals for multiple times so as to extract information of weak signals. According to the monitoring system provided by the invention, the detection of weak signals lower than the ADC quantization threshold is realized by superposing the noise reservation information, and the structure is simple and clear and easy to realize.

The invention belongs to the technical field of metal stretching testing, and particularly relates to a metal stretching control system and method.The system comprises a double-end synchronous stretching module used for applying an axial stretching load to a sample; the multi-frequency vibration excitation module integrates a mechanical vibration unit and an ultrasonic vibration unit, superposes vibration energy through a sweep frequency excitation technology, and is mechanically coupled with the middle area of the sample; the composite environment simulation module comprises a noise generator and a temperature adjusting unit and is used for simulating mechanical noise and temperature control compensation; the multi-source data fusion module is used for synchronously acquiring a stress-strain curve, morphological change and thermal field distribution through a laser vibration meter and an infrared camera, and eliminating signal leakage interference through wavelet transformation; and an intelligent control terminal. According to the invention, the data precision can be further improved, and the data reliability of subsequent resonance frequency analysis and temperature compensation and the active regulation and control of material performance are ensured.

The present invention belongs to the technical field of vibration testing of structural components, and specifically relates to a method for monitoring abnormal vibration of an aircraft, which solves the technical problems of low sampling accuracy and inability to achieve real-time online monitoring in existing methods. The method comprises building a sensor signal acquisition system, which includes a vibration measurement module, a multi-channel switching matrix, a noise generator, an ADC sampling chip, an FPGA controller, a USB controller, an eMMC memory, an RS422 transceiver, and a power management and power distribution unit; the FPGA controller compares the sensor data with a set threshold value, and if the threshold value is exceeded, it is considered that an abnormal vibration event has occurred at the corresponding position. At this time, a total of 500ms of data before and after the vibration occurs is stored in the eMMC memory, the FPGA controller analyzes the abnormal vibration data, calculates the position of the vibration source, and frames the vibration source position and sends it to a host computer.

The invention provides an automatic driving scene generation method based on multi-target antagonism optimization, which comprises the following steps of: 1, constructing a noise generator, taking a current noisy scene xt, a high-definition map code m and a time step t as input, and taking predicted noise epsilon theta (xt, t) as output; step 2, designing a multi-target evaluator Ltotal; wherein L < total > is a weighting function of a plurality of potential functions; the independent variable of the potential function is obtained from an estimated denoising scene; step 3, reverse sampling of adversarial guidance is executed; and step 4, outputting a final scene x0. On the premise of strict scene authenticity, the key confrontation scene with the highest test value for the automatic driving system is efficiently and controllably generated, and the test coverage rate and efficiency are greatly improved.

The embodiment of the invention provides a federal large model learning method based on confrontation feature aggregation and a multi-party computing system, and relates to the field of artificial intelligence. The method is applied to a multi-party computing system, the multi-party computing system comprises a plurality of participants and a central service party, and the participants are in communication connection with the central service party. The method comprises the following steps: for any one of a plurality of participants, the participants perform adversarial feature generation processing on local data based on a noise generator to obtain adversarial features, and the noise generator is used for generating noise data; uploading the confrontation features to the central service party; and the central service party performs model training on a specific task through an adversarial feature cluster to obtain a target model, and the adversarial feature cluster is obtained by aggregating the adversarial features issued by the plurality of participants. According to the method provided by the invention, the communication overhead between each participant and the server is reduced, and the privacy protection of local data is improved.

The application discloses a 12-lead electrocardiosignal denoising method and system based on a dual generative adversarial network, which comprises the following steps: obtaining time-adjacent clean electrocardiosignal segments and noisy electrocardiosignal segments; constructing a noise generative adversarial network, wherein the generator takes a random noise vector as input and simulates noise as output, the discriminator takes the noisy electrocardiosignal segment as a positive sample and a synthetic signal composed of the clean electrocardiosignal segment and the simulated noise as a negative sample for adversarial training, and a noise generator snapshot library is generated; performing dynamic noise injection on the clean electrocardiosignal segment to obtain 'noisy-clean' paired data; constructing a denoising network comprising a denoiser; obtaining the 12-lead electrocardiosignal containing noise and inputting it into the denoiser to output the denoised 12-lead electrocardiosignal. The application aims to overcome the defects in the prior art, such as the lack of real 12-lead electrocardiosignal denoising paired data and the poor model generalization ability caused by excessive dependence on the Gaussian noise assumption.

The embodiment of the invention discloses an adversarial attack method and device for improving digital human posture estimation, and the method comprises the steps: obtaining a to-be-processed image which is a monocular image in live broadcast; based on a dual heterogeneous noise generator, generating image-based noise beta1 and text-image integration-based noise beta2 corresponding to the to-be-processed image; optimizing the noise beta 1 based on the image and the noise beta 2 based on the text-image integration through an adversarial loss function and mean square error loss, and generating an adversarial noise beta; the adversarial noise beta is iteratively enhanced by adopting a PGD method to generate enhanced noise beta ', and an adversarial sample is generated based on the enhanced noise beta' and the image to be processed and is used for improving adversarial attack of digital human attitude estimation.

The invention relates to a method for establishing a bidirectional communication connection (8) by means of a media system (9) of an at least partially automated motor vehicle (10), in particular an electric vehicle, wherein the media system (9) has at least one microphone, preferably an external microphone, and at least one external loudspeaker (7) in the form of an AVAS, vehicle warning noise generator. In a first step, an audio command (3) uttered by a user (2) is received via the at least one microphone, the user (2) being outside the motor vehicle (10), the audio command (3) describing a hands-free function. In a second step, the received audio command (3) is authorized by the media system (9) to check its admissibility.In the case of a positive authorization, in a third step at least one corresponding control unit of the motor vehicle (10) is controlled by means of the media system (9) to establish a communication connection (8), whereby a bidirectional communication between the user (2) and an addressee (6) is enabled.

A device may generate, using a random telegraph signal (RTS) noise generator, a simulated RTS noise as input to a transistor included in an electronic circuit. The device may determine, based on the simulated RTS noise input to the transistor, a simulated output signal from the transistor. The device may automatically modify the electronic circuit based on the simulated output signal.

An approach for generating time-series dynamic-system training data. The approach may comprise providing a plurality of dynamic systems to a dynamic system dictionary. Where the dynamical system dictionary may comprise a library of functions. The approach may further comprise classifying each of the plurality of dynamic systems. Where classifying may comprise, generating a hierarchical dynamic system data, based on constraint learning, with an encoder and noise generator. The approach may further comprise training a diffusion decoder to generate a time-series segment, based on the classified plurality of dynamical systems. Further, the approach may comprise providing a first time series data segment and generating time-series dynamical training data based on the diffusion decoder using the first time-series data segment as input.

An aerosol delivery device (500) comprising: a controller (520); and a noise generator (580) comprising one or more ultrasonic transducers, the noise generator (580) being controllable by the controller (520) and being configured to generate an ultrasonic beam directed towards an intended position of a user of the aerosol supply device (500) such that an audible deterrent noise is generated at the intended position.

The invention belongs to the technical field of vibration testing of structural components, particularly relates to an abnormal vibration monitoring method for an aircraft, and solves the technical problems that an existing method is low in sampling precision and cannot realize real-time online monitoring. The sensor signal acquisition system comprises a vibration measurement module, a multi-channel switching matrix, a noise generator, an ADC sampling chip, an FPGA controller, a USB controller, an eMMC memory, an RS422 transceiver and a power management and power distribution unit. The FPGA controller compares sensor data with a set threshold value, if the sensor data exceeds the threshold value, it is considered that an abnormal vibration event occurs at the corresponding position, at the moment, data 500 ms before and after vibration is stored in the eMMC memory, and the FPGA controller analyzes the abnormal vibration data, calculates the position of a vibration source, frames the position of the vibration source and sends the frame to an upper computer.

Technologies for tile-based image augmentation include dividing an image tile into image tiles, each image tile having a size, a shape, and a position relative to the image tile; generating augmented image tiles by applying variable image augmentation to each tile, where at least two augmented tiles have different augmentation; and performing an image analysis task by applying a neural network to the augmented image block. The variable image augmentation may include at least one augmentation component selected from a plurality of augmentation components, where the augmentation component may include one or more of a filter, an intensity adjustment, a noise generator, or a style conversion. The augmented component may be selected randomly or based on a predetermined queue. For an image tile having a plurality of augmented components, outputs for selected augmented components are mixed to provide an augmented image tile.

A method of providing therapy to a patient according to one embodiment includes generating an electrical noise signal by at least one noise generator controlled by a controller of a tunable noise system, partitioning the electrical noise signal into a plurality of discrete frequency bands, each of the discrete frequency bands having a corresponding bandwidth, delivering the electrical noise signal through one or more electrodes to the patient to target at least one of neural tissue or non-neural tissue of the patient, adjusting an amplitude of one or more of a voltage or current of the electrical noise signal within a selected frequency band of the plurality of discrete frequency bands to generate an adjusted electrical signal based on feedback received from the patient, and delivering the adjusted electrical signal through the one or more electrodes to provide therapy to the patient.

A random number generator includes a noise generator including a plurality of diodes, and configured to generate a noise signal corresponding to a leakage current of at least one diode selected from among the plurality of diodes; an analog-to-digital converter configured to convert the noise signal into at least one random code; and a random code processor configured to generate a random number by processing the random code.

Converter circuit (100) comprising the following: a switching circuit (101) designed to to provide an output voltage (106) to a load (1405); a control circuit (102) comprising an analog control component (103) and a digital control component (104); a noise generator (105) designed to generate white noise (107); wherein the noise generator (105) is designed to supply the generated white noise (107) to the digital control component (104) of the control circuit (102); and wherein the control circuit (102) is designed to control the switching circuit (101) based on the white noise (107); wherein the noise generator (105) comprises a sigma-delta converter (603, 607), and wherein the noise generator (105) is designed to generate the white noise (107) using a quantization noise of the sigma-delta converter (603, 607).

The invention discloses a noise simulation method, a noise evaluation method, a system and a storage medium, and the noise simulation method comprises the steps: obtaining a noise set with a condition which is a noise signal generation condition; constructing a noise feature library by using the noise set, wherein the noise feature library comprises at least two types of noise features; based on preset expert experience, an initial noise model subjected to parameterization processing is constructed, and a noise generator outputs noise feature information in one-to-one correspondence with the at least two types of noise features according to the initial noise model; and training and learning the initial noise model by using the noise feature library to obtain a trained target noise model. According to the invention, the compatibility of the noise model is stronger, the generation mode is simpler and more convenient, and the noise distribution better fitting the real scene can be generated.

The application discloses a kind of big gap asphalt pavement noise reduction performance detection equipment, belongs to detection equipment technical field, including positioning base and detection base, the positioning base and detection base week side can be detachably connected with several supports, the positioning base and detection base bottom end are vertically provided with hydraulic rod, the end of hydraulic rod is ball jointed with mounting seat, the mounting seat on the positioning base is provided with noise generator, the detection base corresponding mounting seat lower end is provided with the sliding slot towards positioning base, the sliding slot is slidably connected with slide base, the positioning pin is arranged between slide base and sliding slot, and the noise collector is arranged at the bottom end of slide base;The support ring is coaxially rotatably connected to the positioning base, and the locking pin is arranged between the support ring and the positioning base;The purpose is to solve the problem that the existing detection technology has single measurement point direction and cannot obtain omnidirectional noise reduction characteristics of the same noise generation point.

The utility model discloses a mobile low-noise generator set, which relates to the technical field of generator sets and comprises a generator set body, hoisting rings are fixedly connected to four corners of the upper end of the generator set body, and a plurality of buffer components are arranged at the lower end of the generator set body. The lower ends of the multiple buffer assemblies are jointly and fixedly connected with a base, universal wheels are installed at the four corners of the lower end of the base, and the front end and the rear end of the base are fixedly connected with limiting columns. Through a multi-stage cooperative buffering structure of the elastic gasket, the buffering spring, the first damping piece and the second damping piece, effective dispersion and absorption of vibration energy of the generator set are achieved, the elastic gasket conducts primary buffering, the buffering spring and the second damping piece cooperate with secondary buffering, and the first damping piece is matched to form tertiary buffering; and a multi-stage damping mechanism obviously reduces the vibration amplitude of the unit during operation.

To correctly understand a carrier sense operation.SOLUTION: The electromagnetic noise measurement system 100 of the present disclosure includes: a spectrum analyzer 12 for acquiring a signal level of a wireless system 200 to be measured, and the signal intensity and the bandwidth of an electromagnetic noise level from a noise source (a noise source 300 and a noise generator 11); and a server 14 for estimating a condition under which the wireless system 200 starts or stops communication, on the basis of the signal intensity and the bandwidth of the electromagnetic noise level.SELECTED DRAWING: Figure 1