49 results about "Spectral processing" patented technology

The invention discloses a saturated spectrum processing method for wide-range detection of an absorption spectrum of a tunable diode, and relates to the technical field of spectrum gas detection. According to the saturated spectrum processing method for wide-range detection of the absorption spectrum of the tunable diode, an effective spectrum signal is obtained by performing denoising and baseline correction on an original absorption spectrum signal, a plurality of spectrum characteristic parameters are extracted to calculate a saturated quantized value, and a complete absorption spectrum line contour is reconstructed by adopting a spectrum reconstruction algorithm according to the quantized value, so that the wide-range detection of the absorption spectrum of the tunable diode is realized. The method comprises the following steps of: constructing a saturation quantitative evaluation system, a layered self-adaptive spectrum reconstruction strategy, a dual-mode detection fusion mechanism and a working condition compensation model, calculating weights of an absorption spectrum and a wavelength modulation spectrum through an S-type function, correcting a preliminary concentration value by combining environment temperature, pressure and a compensation model, and outputting an accurate final gas concentration. Without additional hardware, wide-range high-precision gas detection is realized, and environmental interference and saturation influence are eliminated.

The application belongs to the technical field of optical communication and relates to a frequency-shift-free microwave photonic channelized receiving device, which comprises a carrier light frequency comb generating unit, a local light frequency comb generating unit, an electro-optical modulation unit, an optical phase shift unit, a channel selection and spectrum processing unit and a plurality of photoelectric conversion units. The received broadband radio frequency signal is modulated on each comb tooth of the carrier light frequency comb through the electro-optical modulation unit, and the frequency alignment between the optical local oscillator and the required receiving sub-channel can be realized based on the "vernier" effect caused by the different free spectral ranges of the carrier light frequency comb and the local light frequency comb and the inherent frequency alignment of the same pump laser. The mirror image sub-channel suppression is realized based on the opposite optical phase shifts on both sides of the pump light. The application has a simple structure, omits the frequency shift and special modulation structure required for frequency alignment, effectively suppresses the inter-channel crosstalk problem in the channelized receiving process, and can flexibly increase the channelization quantity according to actual needs.

The invention discloses an intelligent dysphagia complication early warning method and system based on artificial intelligence, and relates to the technical field of intelligent early warning monitoring. The method comprises the following steps: acquiring basic physiological parameters, chewing behavior data and related environment data of a target person, constructing a scene intention feature vector, and identifying a dysphagia behavior intention priority; performing short-period frequency spectrum processing on the basic physiological parameters and the chewing behavior data to generate a micro-rhythm offset spectrum, identifying micro-rhythm offset abnormity, and generating a rhythm precursor response value; constructing a respiration coupling curve, calculating a coupling deviation value, and forming a respiration coupling deviation sequence; and establishing a precursor fusion model, calculating a dysphagia risk index, generating a dysphagia risk level, automatically generating an intervention strategy, pushing the intervention strategy to a target person, and carrying out adaptive correction on the precursor fusion model. According to the invention, prospective and individual accurate early warning of the risk of dysphagia complications is realized, and the early warning effect is continuously optimized through an intervention feedback closed loop.

The present application relates to the technical fields of spectral analysis and substance detection, and discloses a deuterium lamp device and an atomic absorption spectral analysis method and system using the deuterium lamp. The system comprises a hollow cathode lamp unit, a built-in hollow cathode lamp emitting a first light beam after preheating under power supply; a first lens, a second lens and a third lens, a deuterium lamp device for emitting a second light beam at a first frequency under the driving of a pulse power supply; a sample cell for internally placing a sample to be measured in a combustion state; a monochromator for performing spectral processing on the incoming first light beam and / or the second light beam, and outputting the spectrally processed light signal to a photoelectric detector; the photoelectric detector for photoelectrically converting the light signal output by the monochromator to obtain an electric signal; and a data processing unit for analyzing and processing the electric signal of the photoelectric detector to obtain an analysis result. The present application can realize more accurate background deduction and improve the accuracy and reliability of atomic absorption spectral measurement.

The application relates to a spectrum processing method, a spectrum processing device and a spectrum processing system. The spectrum recovery method comprises the following steps: acquiring parameter information of a spectrum chip; configuring parameters corresponding to a shot spectrum image according to the parameter information of the spectrum chip, and collecting a spectrum image; and recovering spectrum information of a to-be-detected object based on the spectrum image and a corresponding spectrum recovery algorithm. In this way, a miniature spectrum processing device with small volume, convenient carrying, direct interaction with a terminal, convenience and high recovery precision can be realized.

The application provides a holographic image anti-counterfeiting pattern laser processing method, a storage medium and a product, a polarization angle sequence is determined through spectrum processing, a neural network is used to optimize microstructure arrangement, an encoding matrix is generated, hidden data is integrated to improve information dimension, then simulation calculation and iterative updating are used to enhance the anti-counterfeiting effect of the encoding matrix, resistance characteristics are extracted and robustness is verified, finally, material surface writing is guided to form a holographic image anti-counterfeiting pattern, and finally, a multi-dimensional verification protocol is combined to ensure the stability of the polarization response in different environments. The application significantly improves the cracking resistance and environmental adaptability of the anti-counterfeiting pattern through the deep combination of the polarization angle and the microstructure optimization.

The invention discloses a method for measuring a residual birefringence difference value of a transparent ferroelectric electro-optical material based on a Fabry-Perot resonant cavity. The method comprises the following steps: constructing a Fabry-Perot resonant cavity measuring light path consisting of a broadband light source, a polarization control assembly and a sample to be measured; the polarization state of incident light is accurately controlled through a magnetic control Faraday rotating mirror, and transmission spectrums in the o-light direction and the e-light direction are obtained respectively; a high-precision spectrum acquisition module is adopted to record transmission spectrum characteristics; based on an original spectrum processing algorithm, the residual birefringence difference value of the to-be-detected material is calculated by analyzing the resonant wavelength offset and the free spectrum range change of the o-light and e-light transmission spectrums. The method solves the problem that the weak birefringence detection capability of the existing measurement technology is insufficient, has the advantages of high measurement precision, strong anti-interference capability and the like, and is suitable for performance evaluation, process optimization and device performance improvement of the transparent ferroelectric electro-optical material.

This invention discloses a method for controlling the addition of supernatant from kitchen waste as a carbon source for denitrification based on three-dimensional fluorescence spectroscopy. The method includes steps such as sample collection and detection, three-dimensional fluorescence spectral processing, establishment of a multiple linear regression model, and control of the carbon source dosage. By acquiring real-time online data on the changes in three-dimensional fluorescence spectra during the denitrification process of nitrate-containing wastewater and combining this with a multiple linear regression model to predict carbon source consumption, this invention achieves precise control of the carbon source dosage, ensuring a sufficient supply of carbon source during the denitrification stage while avoiding waste caused by excessive carbon source addition. This significantly improves the denitrification rate, reduces energy consumption and operating costs, and ensures that the effluent quality meets standards.

The invention relates to the technical field of laser-induced breakdown spectroscopy data processing, in particular to an LIBS spectrum processing method and device based on residual skewness estimation and a storage medium. The invention discloses an LIBS (Laser-induced Breakdown Spectroscopy) processing method based on residual skewness estimation. The method comprises the following steps: step S10, acquiring an observation signal of an LIBS; s20, on the basis of morphological analysis of the LIBS spectrum, constructing a spectrum model by using prior distribution of a Bayesian framework; step S30, based on the updated hidden variable observation signal, analyzing the updated hidden variable spectrum model by using variational inference to obtain iteration deviation and posterior analysis data; s40, judging whether the updating hidden variable iteration deviation meets an iteration termination requirement or not; if yes, iteration is stopped, and actual spectrum data is obtained according to the updated hidden variable posteriori analysis data; and if not, executing the step S20. According to the method, the spectrum model is analyzed by utilizing variational inference, the optimal convergence point is judged, effective separation of observation signals is realized, posterior analysis data is obtained, and the spectrum estimation precision and the calculation efficiency are greatly improved.

A method for analyzing a mixture includes obtaining a first spectrum of the mixture comprising a plurality of components; selecting at least one position on the spectrum; and estimating a mixing weight for each of the components using an algorithm based on an intensity of the at least one position. A system for analyzing a mixture includes a spectrometer configured to obtain a first spectrum of the mixture comprising a plurality of components; a processor configured to select at least one position on the spectrum and estimate a mixing weight for each of the components using an algorithm based on an intensity of the at least one position.

The application discloses a wavelength modulation surface plasmon resonance imaging sensing method, which generates multiple groups of illumination spectra by controlling a light-emitting diode, processes the spectra into p-polarized light, excites a sensing chip to generate surface plasmon resonance through prism coupling, collects corresponding reflected light intensity images by using a CMOS camera, and reconstructs surface plasmon resonance reflection spectra of each pixel on the sensing chip by using a smooth constraint reconstruction algorithm according to intensity observation values of the pixel in all images and corresponding illumination spectrum data, so as to further extract a phase signal and generate a spatially resolved phase image. The phase signal and the imaging scheme realize high-sensitivity and high-throughput sensing performance. The method realizes low-cost, high-signal-to-noise ratio and high-throughput sensing imaging.

This invention discloses a multi-channel spectral imaging system and method, belonging to the field of spectral imaging technology. The system includes an array optical imaging lens, an array multi-channel spectral sampling filter, an array color camera, and a spectral processing circuit module. This system enables solid-state snapshot imaging without moving parts, featuring a compact structure, high stability, and suitability for dynamic scenes, vehicle-mounted / airborne, and other complex operating conditions. The method of this invention completes multi-channel spectral imaging by constructing a measurement matrix, acquiring and converting target image signals, establishing the correlation between spectral signals and acquired signals, sparse representation and optimization solutions, super-resolution reconstruction, and data cube construction. It exhibits excellent reconstruction accuracy and noise resistance, and can flexibly expand the array size to adapt to the spectral coverage requirements of different application scenarios.

The present disclosure relates to an apparatus and a method for detecting and analyzing foreign matter in a cathode, the apparatus comprising: a first imaging device for dividing a cathode conveyed in one direction into a predetermined region and imaging the predetermined region; an image processing processor for processing an image of the predetermined region captured by the first imaging device to specify a position where the foreign matter is formed; a second image capturing device for capturing an image of the foreign matter specified by the image processing processor; and a spectral processing processor for analyzing a spectral signal of an image of the foreign matter captured by the second image capturing device to classify a component of the foreign matter.

An optical spectrum obtaining apparatus includes: a beam splitting unit, a first / second optical spectrum computation unit, and a processing unit. The beam splitting unit is configured to: receive a light beam from a light source, split the light beam into a first polarization component and a second polarization component with different polarization directions, transmit the first polarization component to the first optical spectrum computation unit, and transmit the second polarization component to the second optical spectrum computation unit. The first optical spectrum computation unit is configured to compute an optical spectrum of the first polarization component. The second optical spectrum computation unit is configured to compute an optical spectrum of the second polarization component. The processing unit is configured to obtain an optical spectrum of the light beam based on the optical spectrum of the first polarization component and the optical spectrum of the second polarization component.

The invention provides a multi-parameter optical fiber health monitoring device. The device comprises a light source system, a light source conduction system, a sensing system, a sensing light conduction system and a spectrum processing system, the light source system can emit light signals of a single wavelength or a plurality of different wavelengths; the light source conduction system can transmit light signals, provide multi-channel light signal channels and realize random switching of the light signal channels; the sensing system comprises at least one optical fiber sensor, and one end of the optical fiber sensor acts under the action of a marker to cause the change of an optical signal; the sensing light conduction system can pass back a changed light signal and gate of a path; and the spectrum processing system can collect and process the returned optical signals to obtain spectrum data. According to the invention, multi-channel synchronous monitoring can be realized, a plurality of physiological and biochemical markers can be detected at the same time, and the detection efficiency is greatly improved; the method has high sensitivity and stability; the invention has a wide clinical application prospect.

The invention discloses a tobacco online near infrared spectrum detection device and method based on a linear optical filter, and relates to the technical field of spectrum processing. Near-infrared light is emitted to a target area, a plurality of near-infrared bands are obtained through a linear optical filter, and reflected light of each near-infrared band is collected to obtain an original near-infrared band set; preprocessing the target original near-infrared band to obtain a target near-infrared band; performing feature extraction on the target near-infrared band to obtain target sub-features; and constructing a target feature vector according to all the target sub-features, and searching a preset database according to the target feature vector to obtain a detection result. Multiple near-infrared bands and frequency-combining and frequency-doubling absorption information of substance molecules corresponding to different bands are obtained through the linear optical filter, and then the different near-infrared bands are preprocessed and then subjected to feature extraction, so that prediction of different chemical substance components in tobacco is improved, and the online detection efficiency of the tobacco is improved.

The application discloses a kind of intelligent preparation systems of laser navigation milk teeth root canal, it is related to milk teeth root canal treatment field, including: image processing module, self-checking registration module, structure acquisition module, spectral processing module, anomaly detection module, fusion determination module, compensation tracking module, digital modeling module, simulation learning module, trajectory generation module, execution monitoring module, safety protection module, interactive command module and record audit module;The application can more accurately distinguish infected dentin and healthy dentin, reduce the risk of misjudgment or missing infected areas, effectively reduce the risk of root tip penetration and root tip tissue damage, so that the laser cutting process always revolves around the real infected area, both can fully remove infected tissue, and can maximize the retention of healthy dental structure, improve root canal preparation efficiency and safety, reduce the dependence of doctors on experience judgment, so that milk teeth root canal preparation operation is more standardized and repeatable.

A method and system for performing grayscale image generation. The method includes acquiring, by a color image sensor, color information of an environment in a field of view of an imaging assembly. The color image sensor includes a plurality of color pixels, each color pixel configured to acquire corresponding color information of the environment. Each pixel in the array of pixels has a different detection spectrum than an adjacent neighboring pixel. A processor determines a grayscale value for each pixel in the plurality of color pixels, the grayscale value determined from the color information of a two-by-two array of pixels from the color image sensor. The processor then generates a grayscale image from the grayscale value of each pixel.

The invention discloses a cloud collaborative atomized liquid spectral data intelligent analysis system, and relates to the technical field of atomized spectral data analysis. The cloud collaborative atomized liquid spectral data intelligent analysis system comprises a spectral data acquisition module used for acquiring spectral time sequence data of set atomized liquid and uploading the spectral time sequence data to a cloud platform for storage; the cloud spectrum processing module is used for inputting the spectrum time sequence data into a pre-trained atomization spectrum analysis model and analyzing a spectrum spraying mapping time sequence feature set; and the cloud spectrum analysis module is used for analyzing an atomization absorption cooperation characteristic value and an atomization dispersion quality characteristic value based on the set spectrum spraying mapping time sequence characteristic set of the atomization liquid. Combined spraying control is performed on the set atomization liquid based on the atomization absorption cooperation characteristic value and the atomization dispersion quality characteristic value in the cloud control feedback module; therefore, collaborative perception and dynamic adjustment of the characteristics of the atomized liquid are achieved, the quality of the spraying effect is guaranteed, and then the spraying precision is guaranteed.

This application relates to a method, apparatus, computer device, and computer-readable storage medium for generating fiber Raman spectroscopy preprocessing models. The method includes: determining the true noise spectrum and random noise of the target object; generating a clean spectrum corresponding to the true noise spectrum based on a spectral synthesis method; generating fluorescence background data corresponding to the true noise spectrum based on a fluorescence background synthesis strategy; training a model using the true noise spectrum, clean spectrum, and fluorescence background data to obtain a trained background removal model; and training a multi-channel model based on random noise and clean spectrum to obtain a trained noise removal model. By employing this method, a reliable model processing foundation can be provided for background separation processing of Raman spectral signals and for collaborative denoising in both the spectral and frequency domains, improving the generation efficiency and quality of training datasets and achieving efficient and high-quality spectral processing in complex environments.

This invention discloses a method and system for precise spectral sensing and recognition based on a unified discrete and continuous physical model, belonging to the fields of spectral sensing, artificial intelligence, and chip design. Based on the philosophy of proportion, this invention constructs a unified discrete-continuous model, achieving high-precision recognition through original normalization, hybrid decomposition, STE encoding fusion, and cross-scale attention. The hardware utilizes a domestically produced dedicated instruction set chip, achieving hardware acceleration for spectral processing; the AI ​​model enables end-to-end cross-scale sensing and self-calibration, significantly improving robustness in complex environments. This invention breaks through the limitations of traditional fragmented models, achieving full domestic independent control over the entire process. It can be widely applied in environmental monitoring, biomedicine, industrial inspection, and remote sensing mapping, greatly improving the domestic intelligent spectral sensing capabilities and security level.

The invention relates to the technical field of spectrum detection, in particular to a portable biological powder spectrum detection device which mainly comprises a sample table; a spectrum collection module; the device comprises a fluorescence excitation module, a laser excitation module, a first light path, a second light path and a processing module. The first light path and the second light path partially coincide, the ultraviolet fluorescent light source projects ultraviolet light beams to the to-be-detected sample along the first light path to excite the to-be-detected sample to generate fluorescent light, the fluorescent light generated by the to-be-detected sample retrograde along the first light path and is collected by the spectrum collection module to obtain a fluorescence spectrum, and after the fluorescence spectrum is obtained, the fluorescence excitation module is closed to excite the to-be-detected sample. The laser excitation module projects a laser beam to a to-be-detected sample along a second light path so as to ablate the to-be-detected sample and enable the to-be-detected sample to generate plasmas, optical radiation of the plasmas retrograde along the first light path and is collected by the spectrum collection module to obtain an LIBS spectrum, the processing module cascades the fluorescence spectrum and the LIBS spectrum to generate a feature vector, the feature vector is analyzed, and the detection result is obtained. The type information of the to-be-detected sample is obtained.

A method and system are presented for use in measuring characteristic(s) of patterned structures. The method utilizes processing of first and second measured data, wherein the first measured data is indicative of at least one Raman spectrum obtained from a patterned structure under measurements using at least one selected optical measurement scheme each with a predetermined configuration of illuminating and / or collected light conditions corresponding to the characteristic(s) to be measured, and the second measured data comprises at least one spectrum obtained from the patterned structure in Optical Critical Dimension (OCD) measurement session. The processing comprises applying model-based analysis to the at least one Raman spectrum and the at least one OCD spectrum, and determining the characteristic(s) of the patterned structure under measurements.

Aspects relate to a handheld spectroscopy scanner including an optical window configured to receive a sample and a housing having the optical window thereon. The housing further includes therein a light source and a spectral sensor including a light modulator and a detector. The scanner housing further includes a processor configured to receive a spectrum of the sample from the spectral sensor based on interaction of light produced by the light source with the sample on the optical window. The processor is further configured to produce spectral data based on the sample spectrum for input to an artificial intelligence engine to produce a result based on the spectral data. In addition, the scanner housing may include a flange holding the light source and a heat sink configured to dissipate the internal heat generated. The housing further includes a cavity forming a handle for easy operation of the handheld spectroscopy scanner.

This invention discloses a method for encrypting and decrypting multiple three-dimensional objects using computational holography and phase-truncated asymmetric encryption. The method includes: extracting the spectral components of the original image or conjugate image, and then processing them to obtain a digital hologram; generating a ciphertext digital hologram from the digital hologram using a phase-truncated nonlinear encryption system; encoding the ciphertext digital hologram as a phase template; obtaining a sum signal containing information about multiple three-dimensional objects, and then superimposing it with a complex random signal to form a sum signal in the form of complex noise; processing the complex noise sum signal to obtain an amplitude-type digital hologram ciphertext containing information about multiple three-dimensional objects, and then binarizing and encoding it to form the ciphertext for public transmission; constructing a decrypted digital hologram using corresponding interference suppression and compensation signals; obtaining a ciphertext digital hologram of a single three-dimensional object by spectral processing of the superimposed public ciphertext and decrypted digital hologram, and then decrypting it to obtain a plaintext digital hologram; reconstructing the original three-dimensional object from the spectral components of the original image or conjugate image of the plaintext digital hologram. This invention improves the noise resistance of the ciphertext.

The invention relates to a spectrum processing system, a processing method and a medium, and relates to the technical field of optical signal processing, the system comprises an optical front end, a relay lens group, a dispersion element and a beam splitter which are arranged in sequence, and the beam splitter divides a light beam from the dispersion element into a first light beam and a second light beam; the liquid crystal spatial light modulator is arranged on a light path of the first light beam, has a polarization-independent characteristic, and is used for performing phase and / or amplitude modulation processing on different wavelength components of the first light beam and reflecting the processed light beam along an original light path so as to output the light beam through the optical front end; the spectrum detector is arranged on a light path of the second light beam and used for receiving the second light beam and detecting spectrum power distribution of the second light beam to obtain spectrum information, and the high-precision spectrum detection and spectrum processing integrated function is achieved.

A method includes obtaining at least one breathing audio sample of a user captured using earbuds worn by the user. The method also includes converting the at least one breathing audio sample to a breathing spectrogram configured as an image. The method further includes processing the breathing spectrogram using a trained multi-task convolutional neural network (CNN) to identify a breathing rate and a breathing depth of the user. In addition, the method includes outputting the breathing rate and the breathing depth of the user.

A method and system for performing grayscale image generation. The method includes obtaining, by a color image sensor, color information of an environment in a field of view of an imaging assembly. The color image sensor includes a plurality of color pixels each configured to obtain respective color information of the environment. Each pixel of the pixel array has a different detection spectrum than adjacent neighboring pixels. A processor determines a grayscale value for each pixel of the plurality of color pixels, the grayscale value determined from color information from a two-by-two array of pixels of the color image sensor. The processor then generates a grayscale image from the grayscale values for each pixel.

Some embodiments relate to a method and system for determining electrical motor fault comprising: measuring ambient vibration data of the electrical motor and performing spectral processing of the ambient vibration data; filtering noise data from the ambient vibration data, outputting a filtered ground truth vibration spectrum, clustering features of the filtered ground truth vibration spectrum, and determining temporal and spatial distance between the clustered features; measuring electrical data signals of the electrical motor, analysing the electrical data signals to extract features of the electrical data signals and storing the extracted features from the electrical data signal; assigning an operating state label to the ground truth vibration spectrum by comparing the clustered features of the ground truth operational vibration spectrum to a database of stored training data and ground truth algorithms; determining an accuracy of the operating state label; and determining electrical motor fault using a new measured electrical data signal and the stored ground truth algorithm to determine if the electrical motor is in a fault state.