33 results about "Modulation function" patented technology

The invention discloses an acoustic excitation digital modulation noise reduction method and system for laser acoustic vibration detection and application. Comprising the following steps: step 1, acquiring single-point measurement time sequence parameters of laser vibration measurement equipment, step 2, measuring response characteristics of an audio excitation device, and determining pre-stabilization time required by an audio excitation signal from starting to reaching a stable amplitude; step 3, constructing an on-off keying modulation function, generating a digital gating function according to the time sequence parameter and the pre-stabilization time, and performing time domain multiplication on the audio excitation signal and the digital gating function to generate a modulated intermittent audio excitation signal; and 4, controlling the audio excitation device to play intermittent audio excitation signals, and synchronously triggering the laser vibration measurement equipment to scan and collect the measurement points on the surface of the object to be measured according to the time sequence parameters. Through the on-off keying digital modulation technology, audio excitation can be started only in the effective detection time period of laser vibration measurement, and therefore the average noise level and equipment power consumption are remarkably reduced.

The invention discloses a system and method for generating, regulating and controlling a partially coherent space-time light field. The system comprises a pulse shaping assembly composed of a plurality of optical elements and an incident light source used for providing a completely coherent ultrafast pulse light field. An optical element in the pulse shaping assembly comprises a first blazed grating, a first cylindrical lens, a two-dimensional dynamic holographic modulator, a second cylindrical lens and a second blazed grating which are sequentially arranged in the light field propagation direction. The focal lengths of the first cylindrical lens and the second cylindrical lens are the same, and the distance between the adjacent optical elements is equal to the focal lengths of the first cylindrical lens and the second cylindrical lens; the two-dimensional dynamic holographic modulator is used for loading a specific complex amplitude modulation function to reconstruct the spatial-spectral characteristics of the light field. According to the invention, the two-dimensional space-spectrum function of the pulse is dynamically modulated, the generation of the partially coherent space-time wave packet is realized, and the amplitude and structure distribution of the space-time coherence can be designed and regulated as required.

The application provides a phase optical element and a method for obtaining stable transmission of light intensity of non-diffraction light beams. The phase optical element having an equivalent light field modulation function to the amplitude optical element is used to replace the amplitude optical element, so that the light intensity distribution of the non-diffraction light beams is obtained. Compared with the amplitude optical element, the phase optical element has the advantages of small energy loss, low cost, easy processing and the like, and is suitable for more extensive practical applications.

The invention relates to a method configured for computing, by computer, data of an ophthalmic lens for manufacturing the ophthalmic lens using the data, the method comprising a step of generating data of a random modulation surface of the ophthalmic lens, and the method is characterized in that the data of the random modulation surface results from applying a continuous random surface modulation function or a scaled continuous random surface modulation function to a predefined surface of the ophthalmic lens.

The application discloses a spatial light modulator control method, a spatial light modulator and a control system, and relates to the technical field of spatial light modulator development and application. The method comprises the following steps: after obtaining addressing data and control data of a spatial light modulator, the addressing data and the control data are fused and encoded on resolution indication bits and bit depth indication bits in an addressing data format to obtain a video signal to be transmitted; then the video signal is transmitted to the spatial light modulator through a video signal transmission channel; the spatial light modulator parses the addressing data and the control data from the video signal; the corresponding light wave modulation function is completed according to the addressing data; and the corresponding control function is completed according to the control data. Thus, the interface requirement of an upper computer can be reduced, the purpose of transmitting signals by using the same interface and time sequence is achieved, the synchronous precision is high, the user operation is easy, and the method is convenient for practical application.

Evaluation and adjustment of time-varying pulse patterns in spinal cord stimulator systems are disclosed. Methods, systems, and computer-implemented algorithms are disclosed for determining time-varying pulses for a patient having an implantable stimulator device (ISD). At least one time-invariant stimuli pulse parameter (e.g., amplitude, pulse width, or frequency) is modified by a modulation function to produce a time-varying pulse (TVP), and one or more measurements are made to determine the effectiveness of the TVP. The measurements may be objective and taken from the patient, and / or subjective and determined based on feedback from the patient. In one example, the objective measurements may include one or more features determined from electrospinal cord (ESG) signals detected by the ISD, which may include evoked composite action potentials. One or more measurements are used to determine a score of TVP, which is useful in selecting an optimal TVP for use with a patient, or in adjusting a modulation function applied to an ankylosing stimulation parameter.

The invention relates to an OFDM (Orthogonal Frequency Division Multiplexing) general inductance integrated waveform optimization method and device and a medium, and the method comprises the steps: carrying out the optimization processing of information bits through employing an optimization algorithm, and generating reserved bits; deploying OFDM subcarriers by adopting a fragmentation and layering mode based on the reserved bits and the information bits, and coding each layer of bit plane to obtain a coded bit sequence; modulating the coded bit sequence of each layer of bit plane through a preset modulation function; and synthesizing the modulated bit sequence to generate an OFDM (Orthogonal Frequency Division Multiplexing) general inductance integrated waveform. According to the method, the peak-to-average ratio (PAPR) and the sidelobe ratio (PSLR) are suppressed, and meanwhile, the radar receiving end can correctly reconstruct the reference signal through a decoding technology.

An optical coupler of the present disclosure couples laser light beams with a plurality of different wavelengths, and includes an MMI connected optical coupling unit formed by connecting a first MMI type optical coupling element that shifts an incidence position and a second MMI type optical coupling element having a width wider than the width of the first MMI type optical coupling element, one or more first light input side optical waveguides that are connected to the first MMI type optical coupling element, one or more second light input side optical waveguides that are connected to the second MMI type optical coupling element and one light output side optical waveguide that is connected to the second MMI type optical coupling element.

This invention relates to a video classification method based on Mamba Networks for adaptive adjustment of the image base model. By combining the state-space model of the Mamba Network with the image base model, efficient extraction and adaptive adjustment of spatiotemporal features in video data are achieved, thereby improving the accuracy and computational efficiency of the video recognition system. The main steps include: preprocessing the input video into a long sequence of video features; grouping the long sequence of video features using window partitioning and calculating autocorrelation features within each group; processing the long sequence of video features using the Mamba Network and adjusting them through a modulation function; feeding the modulated features into subsequent layers of the image base model for forward propagation; and classifying the video using a classifier. This invention provides a novel video recognition framework that can improve video recognition performance without changing the structure of the base model, through the adjustment mechanism of the Mamba Network.

The application belongs to the field of optoelectronic technology and particularly relates to an ultra-wideband optical directional coupler, which comprises three single-mode waveguides arranged in parallel at intervals and having the same width, contains straight waveguides and curved waveguides, and one curved waveguide is arranged between two adjacent straight waveguides; straight waveguide ports supporting edge state modes at both ends of a waveguide structure composed of the three single-mode waveguides are respectively used as a coupler input port and an output port; the curved waveguide is a modulation waveguide, and the center distance between the modulation waveguide and one of the straight waveguides adjacent to the modulation waveguide is characterized by a modulation function which changes uniformly and slowly in the propagation direction, the tangent of the function at both ends of the device is parallel to the straight waveguide, and the change relation involves parameters such as the total length of the device, the modulation amplitude of the bending in the direction perpendicular to the propagation direction, and the position of the input port end in the propagation direction. The application greatly improves the response bandwidth of the device.

The application relates to the technical field of oil exploration, and particularly discloses a multi-seismic-source aliasing seismic data decoupling separation method, which comprises the following steps: inputting aliasing seismic data and establishing a mathematical model, converting a separation problem into a signal recovery problem with constraints; reorganizing the data into a common offset domain, constructing a cascade shift embedded Hankel matrix to form a low-rank prior; designing an energy-aware modulation function based on spectral component values to adaptively distinguish effective signals and crosstalk; fusing a weighted spectral norm and a transform domain sparsity constraint to construct a joint structured penalty optimization model; and adopting a variable splitting iteration framework to decompose a sub-problem, alternately solving and adaptively updating weights. The application protects effective signals by relying on an adaptive weight strategy, separates crosstalk by combining low-rank and sparse double characteristics, overcomes signal leakage and amplitude distortion problems, improves waveform fidelity and separation signal-to-noise ratio, and takes into account convergence stability and calculation efficiency, so that the application has important application value in complex geological oil and gas exploration and high-precision seismic imaging.

Demodulating a modulated signal. A method may include receiving a modulated signal, where the modulated signal is a signal modulated according to a modulation function that varies faster than the signal. The modulation function is a function of the signal. The received modulated signal is modulated by an artificial neural network (ANN) system trained to recognize bit values ​​from signal patterns generated by the modulation function by identifying bit values ​​from patterns of the received modulated signal. Related modulation and demodulation systems are disclosed.

The application discloses a nonlinear chirped fiber grating preparation method and system, and the method comprises the following steps: determining basic processing parameters of a fiber grating according to target parameters; based on the coupled mode theory, initially constructing a nonlinear periodic modulation function and a nonlinear apodization function, calculating a reflection spectrum and comparing the reflection spectrum with a target spectrum, and repeatedly adjusting the two functions for iteration optimization until the error reaches a standard; a periodic modulation selects a signal generator or a displacement table chirp, the former calculates a pulse delay according to a period value through a uniform displacement table, and the latter calculates a displacement table speed according to a period value through a uniform laser pulse; apodization modulation selects laser power or grating point spatial modulation, the former dynamically adjusts power to control the refractive index change, and the latter controls the laser focal point and the fiber core position; and the nonlinear chirped fiber grating is processed according to the optimized function and the selected mode. The application meets the application requirement of a complex optical system.

The invention provides a spectral imaging method, device and equipment based on edge error suppression, a storage medium and a program product, and relates to the field of spectral imaging, and the method comprises the steps: obtaining a detection image formed after a to-be-observed target is modulated by a metasurface array; edge pixels in the detection image are identified, and target non-edge pixels are selected from neighborhoods of the edge pixels; replacing the modulation function of the edge pixel with the modulation function of the target non-edge pixel, and constructing a new modulation matrix of the edge superpixel to which the edge pixel belongs; and based on the new modulation matrix, performing spectrum reconstruction on the detection signal of the edge superpixel to obtain spectrum information, and generating a complete spectrum image of the to-be-observed target based on the spectrum information. According to the invention, the overall spectrum recovery performance can be improved.

The invention discloses a hydropower long sequence retrieval method, system and device based on a time sequence embedded large model and a medium, and belongs to the technical field of artificial intelligence and hydraulic engineering crossing. The method comprises the steps that multivariable long time sequence data are input, and the multivariable long time sequence data are time sequence records of hydropower operation parameters; performing time sequence adaptive coding on the multivariable long time sequence data through a core processing layer; outputting a unified semantic embedding space to support cross-modal retrieval of the text and the time series data; and processing user query through a multi-modal retrieval mechanism, wherein the multi-modal retrieval mechanism performs semantic matching based on a preset engineering query template. According to the method, through an adaptive frequency modulation mechanism, a frequency modulation coefficient is calculated through a modulation function according to multivariable long time sequence data, and a basic frequency parameter of rotary position coding is dynamically adjusted, so that the model can be adaptive to periodic change characteristics of hydroelectric data.

The invention relates to a method and system for treating an area with radio frequency radiation with a resonant frequency and modulation function calibrated to destroy harmful pathogens, such as bacteria, viruses or other germs. According to the present invention, transmitters are used to neutralize harmful pathogens within a space and may be used with corresponding receivers are used to verify the functional performance of the transmitters, and to create a data stream so that human occupants of the spaces so being treated can be assured that the areas they occupy have been so treated.

This invention discloses a method and system for 3D reconstruction and neural rendering of large-scale scenes. The method includes the following steps: S1, constructing a 3D scene representation model based on anchor points; S2, training the 3D scene representation model based on multi-view images, the training process including the following sub-steps: S21, periodically calculating the generation efficiency score of each anchor point and removing anchor points with generation efficiency scores lower than a dynamic threshold; S22, using a global codebook to perform vector quantization on the parameter set of the anchor points, mapping the continuous parameter set to discrete codebook indices; S3, rendering using the trained 3D scene representation model, adjusting the opacity of each Gaussian primitive generated by the anchor point according to the viewing distance from the anchor point to the camera through a modulation function to reduce the rendering computation of distant areas, thereby significantly reducing the model storage size and improving the rendering speed without losing visual quality.

The application relates to a photoconductive modulator based on a perovskite quantum dot-two-dimensional titanium carbide heterojunction and a preparation method and application thereof, and belongs to the technical field of photoelectric neuromorphic devices. The photoconductive modulator comprises a conductive substrate, an electrode layer and a heterojunction functional layer arranged between the conductive substrate and the electrode layer; the heterojunction functional layer comprises a heterojunction structure composed of perovskite quantum dots and two-dimensional titanium carbide, a perovskite quantum dot and two-dimensional titanium carbide heterojunction film is constructed by electrophoretic induction self-assembly deposition, meanwhile, the surface end groups of the two-dimensional titanium carbide induce the moderate distortion of perovskite quantum dot lattices, and the heterojunction functional layer with high efficient photoelectric conversion and modulation functions is formed. The application realizes the accurate modulation of photoconductive signals by regulating the transmission and separation of photo-generated carriers through the built-in electric field of the heterojunction interface.

The embodiment of the application discloses a kind of multi-node structure light field generation devices with interactive network characteristics, including transparent substrate and multiple diffraction modulation units, diffraction modulation unit is sheet fork grating, the number of sheet fork grating is at least three pieces, sheet fork grating is integrated and engraved on the surface of transparent substrate by laser direct writing technology, each sheet fork grating has independent light field phase modulation function, from the first engraved sheet fork grating, from below to above, each sheet fork grating is rotated around the axis in the same direction relative to the sheet fork grating of adjacent lower piece, and a constant misregistration angle is generated, the misregistration angle refers to the relative rotation angle between two adjacent sheet fork gratings, the product of the number of sheet fork gratings and misregistration angle is less than or equal to 360 °, the advantage is that multi-node structure light field with interactive network characteristics can be realized in high-dimensional parameter space, and the types and complexity of the generated light field are enriched.

The application provides a spectrum imaging method and device based on edge error suppression, equipment, storage medium and program product, relating to the field of spectrum imaging, comprising: obtaining a detection image formed after a target to be observed is modulated by a metasurface array; identifying edge pixels in the detection image, and selecting target non-edge pixels from the neighborhood of the edge pixels; replacing the modulation function of the edge pixels with the modulation function of the target non-edge pixels, constructing a new modulation matrix of the edge superpixel to which the edge pixels belong; based on the new modulation matrix, performing spectrum reconstruction on the detection signal of the edge superpixel to obtain spectrum information, and generating a complete spectrum image of the target to be observed based on the spectrum information. The application can improve the overall spectrum recovery performance.

Techniques for adjusting sub-perception stimulation applied to a patient by an implantable pulse generator (IPG) are disclosed. The adjustment can be made by using one or more modulation functions associated with a stimulation modulation algorithm that adjusts the total charge provided to the patient by the stimulation as a function of time. The modulation functions and algorithm can adjust the charge by duty cycling the stimulation or by adjusting sub-perception stimulation parameters, and such adjustment can be made in the IPG or an external device. The stimulation modulation algorithm can use one or more models in adjusting the stimulation parameters to keep them at optimal values for sub-perception stimulation while adjusting the charge stimulation as prescribed by the modulation functions.

The invention discloses a high-precision rapid simulation method for high-repetition-frequency missile-borne radar clutters, electronic equipment and a storage medium, a clutter simulation area is finely divided by combining the actual working characteristics of a missile-borne radar, including the determination of an altitude line clutter area and the influence of antenna array surface installation on clutter area division, the calculation amount is reduced, and the calculation efficiency is improved. And the simulation speed is improved. The invention relates to a fine modeling method for a missile complex motion attitude, in particular to a fine clutter modeling method based on a missile body motion attitude, which considers the influence in the aspects of installation positions of an antenna array plane and a servo system, earth curvature, missile body attitude change and the like. And each distance ring in each fuzzy coverage area is cut off by an intersecting line of an antenna array surface and the ground, so that the division precision of clutter scattering surface elements is improved. And meanwhile, according to a missile body attitude modeling method and a clutter echo modeling method under a high repetition frequency system, a Na refuzzy echo modulation function is calculated, and the Na refuzzy echo modulation function and a baseband emission signal are subjected to convolution to obtain a baseband echo.

This invention discloses an electro-optic modulation device, which comprises, in a vertical direction, a top metal layer, an electro-optic material layer, a metal interlayer, and a silicon dioxide layer. The electro-optic material layer forms surface plasmons with the metal component on its surface and the metal interlayer on the base plate, respectively. The surface plasmons can localize the optical field in the electro-optic material and also localize the electric field and enhance the magnitude of the modulation electric field. Therefore, the overlap factor of the optical field and the electric field in the electro-optic modulation device of this invention can be greatly enhanced, thereby improving the modulation efficiency. The first metal component applies an electrical signal, and the second metal component is grounded. The two vertical surface plasmon slit waveguides formed by the two metal components on the electro-optic material layers control the refractive index of the electro-optic material in opposite ways, thereby achieving a highly efficient modulation function.

The application provides a cloud-based thermal infrared remote sensing method and system for extracting weak thermal anomaly candidates and suppressing false anomalies, belonging to the field of remote sensing image processing and computer vision. To solve the problem of how to ensure high recall rate of weak thermal anomalies and effectively suppress false anomaly candidates under low spatial resolution and complex observation conditions, and output candidate results with credibility description, the application constructs a candidate learning mechanism for cloud influence perception; introduces a gated false anomaly suppression mechanism to establish a continuous reliability modulation function based on candidate saliency; constructs a candidate probability map and a candidate region confidence index, so that the output result not only includes a candidate region set, but also contains corresponding credibility information. The application realizes the automatic extraction of weak thermal anomaly candidate regions and the suppression of false anomalies under the condition of cloud influence or complex ground surface background interference, providing reliable candidate input for subsequent fine positioning, cross-spectral consistency analysis or manual review.

The embodiment of the invention discloses a multi-node structure light field generation device with interactive network characteristics, which comprises a transparent substrate and a plurality of diffraction modulation units, the diffraction modulation units are at least three sheet-shaped fork-shaped gratings, and the number of the sheet-shaped fork-shaped gratings is larger than that of the transparent substrate. The sheet-shaped fork-shaped gratings are integrally inscribed on the surface of the transparent substrate through a laser direct writing technology, each sheet-shaped fork-shaped grating has an independent light field phase modulation function, and from the sheet-shaped fork-shaped grating inscribed for the first time, each sheet-shaped fork-shaped grating has an independent light field phase modulation function relative to the adjacent lower sheet-shaped fork-shaped grating from bottom to top; the sheet-shaped fork-shaped gratings rotate around a shaft in the same direction to generate a constant dislocation angle, the dislocation angle refers to the relative rotation angle between two adjacent sheet-shaped fork-shaped gratings, and the product of the number of the sheet-shaped fork-shaped gratings and the dislocation angle is smaller than or equal to 360 degrees. And the types and complexity of the generated light field are enriched.

The invention provides a cathode fluorescence system based on a micro spectral imaging chip, and belongs to the technical field of optical detection.The system comprises the spectral imaging chip used for detecting cathode fluorescence from a sample; the spectral imaging chip comprises a micro-nano structure spectral modulation layer which comprises a plurality of micro-nano structure sub-arrays, and the micro-nano structure sub-arrays have different preset spectral modulation functions and are used for carrying out spectral modulation on incident cathode fluorescence; the image sensor array layer is arranged on the light emitting side of the micro-nano structure spectrum modulation layer and is used for converting the modulated light signal into an electric signal; and the signal processing circuit is connected with the image sensor array layer and is used for calculating and reconstructing spectral information of cathode fluorescence according to the electric signal and a preset spectral modulation function. According to the invention, the integrated spectral imaging chip is adopted to replace a traditional grating spectrometer, so that the system is compact, miniaturized and low in cost.

The invention provides a broadband short wave channel modeling method and system, a medium and a product. In the method, a data processing unit firstly constructs a target time delay power distribution curve by using a shape parameter and a time delay spread parameter, the shape parameter can flexibly adjust an echo energy attenuation form, the time delay spread parameter can accurately reflect the duration of an echo cluster, and the combination of the shape parameter and the time delay spread parameter enables the constructed time delay power distribution to better fit an actual channel multipath structure. And the data processing unit combines a phase function for reflecting a signal frequency difference value and a random modulation function for reflecting the fading characteristic of the signal along with time, and a time-varying impulse response function obtained by multiplying the three functions comprehensively reflects the time-varying characteristics of the signal amplitude and phase on each path. And finally, the data processing unit sums all path impulse responses to obtain a total time-varying impulse response function, and actual channel characteristics such as multipath propagation and Doppler effect are integrated, so that the problem of inaccurate simulation precision of the model is effectively relieved, and the simulation accuracy of an actual physical process is improved.

The invention discloses a system and a method for rapidly generating a hologram based on diffraction element optimization and lookup table pre-storage, and relates to the technical field of computer-generated holography, and the method comprises the steps: constructing a depth-check lookup table through preprocessing, decomposing a point spread function into a basic diffraction kernel strongly dependent on depth and a modulation function weakly dependent on a transverse position, and pre-storing the basic diffraction kernel and the modulation function; after receiving three-dimensional scene data, adaptively matching a key depth layer and a kernel function, and segmenting the key depth layer and the kernel function into corresponding binary mask layers; generating a contribution hologram of each depth layer through GPU parallel convolution, and performing coherent superposition after modulation and fine tuning to obtain an initial hologram; the system comprises a preprocessing module, a data receiving module and the like to achieve the process, the generation speed and quality are considered, and the system adapts to AR / VR near-to-eye display, biological microscopic imaging and other scenes.

The invention provides a block image encryption method based on a modulation sine chaotic system, and the method comprises the steps: employing an existing simple chaotic mapping as a seed mapping, increasing a control parameter through cascading with a nonlinear function, employing a cascading result as an input variable to modulate a Sin function, obtaining a modulation sine chaotic system 2D-MSCS, and carrying out the encryption of a block image based on the 2D-MSCS. By coupling different seed mappings and introducing an anti-trigonometric function and an exponential function, a plurality of hyperchaotic mappings can be obtained. Compared with simple chaotic mapping, the chaotic mapping generated based on the 2D-MSCS framework has more complex chaotic behaviors, and the security of an encryption system can be effectively improved. And secondly, a double scrambling and block diffusion encryption mechanism combining spiral transformation, snakelike transformation and Latin-like square transformation is designed by using a random sequence generated by a plurality of chaotic mappings, so that the method can effectively resist known plaintext attacks, differential attacks and the like.

This invention discloses an adjustable multifunctional metacluster structure, comprising several groups of equally spaced unit structures and a reflector plate arranged on one side of each unit structure. Each unit structure includes three C-shaped tube sub-unit structures, and the opening position of each sub-unit can be adjusted by rotation. This invention can adjust the sub-unit structures according to actual needs to achieve different wavefront modulation functions. It can realize functions such as anomalous reflection, perfect beam splitting, and multi-channel energy distribution with arbitrary ratios at the operating frequency, overcoming the technical bottleneck of existing acoustic metamaterials being limited to a single function once printed. This multifunctional metacluster structure is flexible and adjustable, enabling various wavefront modulation functions, and has high practical value.