18 results about "Distortion free" patented technology

A grating waveguide device that reduces rainbow artifacts, and a waveguide system. The grating waveguide device comprises a waveguide substrate (2) and a grating structure. The grating structure comprises a first in-coupling grating (3-1) and a first out-coupling grating (4-1), a grating region of the first out-coupling grating (4-1) having a grating line overlapping structure of multiple dimensions; alternatively, the grating structure comprises a second in-coupling grating (3-2), a fold grating (5) and a second out-coupling grating (4-2), a grating line region of the fold grating (5) and a grating line region of the second out-coupling grating (4-2) having an overlapping region. Grating vectors of the grating structure form one and only one closed path in a k-space. When a projected image of an imaging device enters an eye box via the grating structure of the waveguide substrate (2) as a projected light beam, an image displayed by the grating waveguide device is distortion-free and aberration-free compared with the projected image of the imaging device, and diffracted light generated by the diffraction of ambient light via the grating structure does not enter the eye box, such that human eyes cannot observe the rainbow artifact phenomenon in the eye box.

A method and device for performing a perception task are disclosed. The method and device incorporate a dense regression model. The dense regression model advantageously incorporates a distortion-free convolution technique that is designed to accommodate and appropriately handle the varying levels of distortion in omnidirectional images across different regions. In addition to distortion-free convolution, the dense regression model further utilizes a transformer that incorporates an spherical self-attention that use distortion-free image embedding to compute an appearance attention and uses spherical distance to compute a positional attention.

Techniques, including devices and systems implementing the techniques, for using speech enhancement to provide optimal denoised output. One example system generally includes a device of a user, a first sensor coupled to the device, a second sensor coupled to the device, and one or more processors coupled to the device. The one or more processors are generally, individually or collectively, configured to receive, at the first sensor, a first audio signal, receive, at the second sensor, a second audio signal, determine a minimum variance distortionless response (MVDR) using at least the second audio signal, and determine a mixed audio signal using a condition of an environment of the device and at least one of the first audio signal, the second audio signal, or the MVDR.

The invention discloses a system and a method for lossless dynamic measurement of microstructure characteristics of a material surface, and relates to the technical field of optical measurement, and the method comprises the following steps: S1, placing an object to be measured on a two-dimensional stepping motor platform, and adjusting the platform to be horizontal; and starting the solid laser. According to the invention, an optical system composed of a solid laser, a beam expander, an aperture diaphragm and a spectroscope generates an accurate detection light beam, a spatial filter designed according to a confocal diffraction limit is matched to effectively suppress defocus stray light interference, and a multi-parameter fusion judgment mechanism is combined to synchronously extract a light intensity peak value and a light spot centroid offset, so that the detection accuracy is improved. The focus is judged only when the light intensity reaches the maximum value and the mass center offset is smaller than the threshold value, the positioning precision is greatly improved, Z-axis coordinate errors are dynamically corrected through real-time vibration compensation and thermal drift compensation, the problems of sample damage and optical method noise interference in traditional contact measurement are solved, and undistorted data support is provided for microstructure three-dimensional reconstruction.

The invention relates to a method for creating undistorted projections on the surface of real-world objects in the case of artistic lighting of buildings, structures and similar objects, and in the case of light markings at industrial facilities and on civil objects. The method comprises performing geodetic measurements of the objects and their spatial surroundings to create a vertical control network, performing photogrammetric measurements or laser scans of the real-world objects to be projected thereon and objects in their spatial surroundings, creating a 3D model of the real-world objects, during the rendering process, real-world objects are referenced to a given coordinate system, a projection zone is determined and calculated, the position of the projector is calculated, taking into account the position of an object in the space surrounding that blocks the path of the projection beam from the projector to the object on which it is to be projected. The method includes creating a model of a "source (projector)-screen" system using coordinates obtained in a 3D modeling process, transmitting a projected image onto a gobo picture, installing a projector according to coordinates of a virtual projector in the 3D model of the real-world object, placing the picture with the image into the projector, and projecting the image onto a surface of the real-world object.

The application relates to a design method of a robust vector array differential beamformer, belonging to the field of sound signal processing, which comprises the following steps: setting system working parameters; transmitting a detection signal; judging whether a target signal is detected; receiving and preprocessing array signals; reconstructing full-array steering vectors by using Kronecker product operation; selecting an ideal differential beam pattern form, setting target direction distortionless response constraints and non-target direction response constraints; decoupling the system total weight vector into the Kronecker product form of spatial weight and channel weight by using the Kronecker product property, taking the white noise gain maximization as an objective criterion, and solving the optimal channel weight; constructing a weight approximation model based on the Maclaurin series expansion, solving the optimal spatial weight by using the least square method, synthesizing the system total weight vector, and realizing the design of a differential beamformer of any order. The application can significantly improve the robustness of the differential beamformer and effectively suppress spatial white noise.

This invention claims protection for a mixed-frequency time-difference amplification flow measurement method based on an improved ultrasonic time-difference method, belonging to the field of ultrasonic fluid velocity measurement technology. Addressing the problem of insufficient time-difference resolution in low-frequency ultrasonic flow measurement, this invention constructs a flow measurement architecture that deeply coordinates fiber optic sensing and heterodyne mixing: 1) An interferometric fiber optic sensor is used to acquire upstream and downstream ultrasonic signals, whose high signal-to-noise ratio and phase fidelity provide a distortion-free signal basis for subsequent time-difference amplification; 2) The two signals are digitally mixed with a reference signal and low-pass filtered. Utilizing the complete phase information retained by the fiber optic sensor, the microsecond-level original time difference is losslessly converted into a significantly amplified apparent time difference on the difference frequency signal; 3) The apparent time difference is extracted by cross-correlation and then the amplification factor is used to inversely deduce the actual propagation time difference; 4) The flow velocity and flow rate are calculated. In this invention, fiber optic sensing ensures the measurability and phase accuracy of weak low-frequency signals, while heterodyne mixing breaks through the traditional time-domain resolution limit. The two complement each other and work synergistically to significantly improve the accuracy and stability of flow measurement under complex river conditions.

The present disclosure provides a speech enhancement and separation method and device based on directivity convolution beamforming, which comprises the following steps: firstly, constructing a history observation signal matrix from a microphone array through a multi-channel observation signal, and constructing a Kalman gain linear prediction error model according to the history observation signal matrix; secondly, constructing a minimum variance distortionless response beamforming model based on a directivity beamformer and a maximum null beamformer, and estimating a speech plus noise covariance matrix; thirdly, using a time-varying variance based on a separated speech source estimation, combining the Kalman gain linear prediction error model and the minimum variance distortionless response beamforming model to establish a directivity convolution beamforming model, and completing the enhancement and separation of the speech signal through an alternating iteration method. The present disclosure can better suppress early reverberation and reduce late reverberation residues in a noisy reverberation environment; and through the construction of directivity gain and the real-time estimation of a noise covariance matrix, more robust speech separation performance is achieved.

The application discloses a kind of professional noise exposure individualized noise reduction earplug self-adapting filtering method and system, its method includes: outward microphone picks up environmental sound stream;DSP carries out real-time acoustic scene decomposition, decomposes sound using time-frequency analysis, and identifies "human voice", "alarm" and other safety key acoustic events in real time by lightweight CNN;DSP combines personal audiogram, and executes frequency band adaptive noise reduction strategy: attenuates reverse wave to background noise frequency band;Safety key acoustic event frequency band is removed from noise reduction, and is played after individualized gain compensation according to personal audiogram.The application realizes the perfect fusion of hearing protection and context awareness, while protecting hearing, distortionlessly retains key safety information, greatly improves the wearing compliance and work safety of noise reduction earplug.

Magnetic resonance imaging (“MRI”) using a spin- and gradient-echo (“SAGE”) pulse sequence with blip up-down acquisition (“BUDA”) encoding enables distortion-free, high-resolution diffusion-weighted imaging and / or quantitative parameter mapping. Phase-encoding polarities are alternated across shots during a multi-shot acquisition. In each shot, multi-contrast data are acquired at echo times associated with a gradient echo, a mixed gradient-and-spin echo, and a spin echo. High in-plane resolution and distortion-free quantitative parameter maps can be generated, such as T2 maps. T2* maps, paramagnetic susceptibility maps, and diamagnetic susceptibility maps. Diffusion-weighted data can be acquired using diffusion encoding gradients and BUDA encoding, where multi-contrast data are acquired in the b=0 acquisition. Diffusion parameter maps can be generated from the b=0 and diffusion-weighted data.

This invention discloses an online intelligent detection and early warning system for metal processing quality based on AI vision, specifically relating to the field of metal processing quality inspection. The system employs a distributed industrial camera and intelligent light source in its image acquisition module, combined with FPGA synchronous control, to ensure clear and distortion-free images on high-speed production lines. The data preprocessing module enhances image quality through adaptive median filtering, distortion correction, and GPU acceleration. The AI ​​vision detection module accurately outputs defect locations, bounding boxes, and confidence scores based on an improved YOLOv3 model. The defect classification module uses a CNN-Transformer dual-branch network to determine five types of defects: cracks, scratches, dents, dimensional deviations, and surface deposits, and integrates dual-reset confidence verification. The early warning response module triggers graded audible and visual alarms and notifications based on defect levels, and coordinates with the PLC to execute shutdowns, marking and diverting processes, or continuous monitoring, achieving closed-loop management of "detection-classification-disposal."

The invention provides a phase-sensitive optical time domain reflectometer, a measurement method and a readable storage medium, and a signal generation circuit of the phase-sensitive optical time domain reflectometer is configured to generate a radio frequency signal to drive a light intensity modulator to modulate detection light. Therefore, synchronous detection can be carried out on the sensing optical fiber to be detected by utilizing two groups of frequency division multiplexing sequences with difference, the phase variation in adjacent sampling intervals can be accurately solved by combining a differential de-folding algorithm, then demodulation results corresponding to different frequency parts are respectively de-folded to obtain de-folded phase results, and the detection accuracy of the sensing optical fiber to be detected is improved. Therefore, the problem of large-strain phase folding is solved, the large-strain range is recovered, further time sequence interleaving processing is carried out on the unfolded phase results, the unfolded phase results are rearranged and combined according to the time sequence, and therefore a high-sampling-rate and undistorted reconstruction result is reconstructed. According to the invention, accurate measurement of high-frequency response and large-strain-range dynamic strain can be realized.

This application provides a sound perception and localization method for humanoid robots, relating to the field of robotics. It constructs a basic three-dimensional sampling array by scientifically arranging four microphones, employing high-precision omnidirectional condenser microphones to achieve distortion-free acquisition of environmental sound signals. Simultaneously, it outputs raw sound signal data, precise sound pressure amplitude data, and related identification information. The raw sound signal is preprocessed using A-weighted sound levels that conform to human hearing characteristics, while filtering out DC components and high-frequency interference noise to output a human-like sound signal. Then, based on the theory of pulsating spherical source radiation sound field and a point source approximation model, combined with the human-like sound pressure data acquired by the microphone array and preset coordinates, the three-dimensional spatial coordinates of the sound source are accurately calculated. Multiple sound source coordinate results are obtained through multi-microphone array combination calculations, thereby achieving accurate judgment and high-precision localization of the environmental sound source and its location.

Techniques, including devices and systems implementing the techniques, for using speech enhancement to provide optimal denoised output. One example system generally includes a device of a user, a first sensor coupled to the device, a second sensor coupled to the device, and one or more processors coupled to the device. The one or more processors are generally, individually or collectively, configured to receive, at the first sensor, a first audio signal, receive, at the second sensor, a second audio signal, determine a minimum variance distortionless response (MVDR) using at least the second audio signal, and determine a mixed audio signal using a condition of an environment of the device and at least one of the first audio signal, the second audio signal, or the MVDR.

The invention discloses a signal correction method for a pulse type terahertz system, and relates to the technical field of terahertz waves. After frequency spectrum data of terahertz signals are obtained through a terahertz waveform standard device, a distortion coefficient is calculated, frequency domain data, obtained in a terahertz system, of the terahertz signals are corrected through the distortion coefficient, and then undistorted terahertz time domain waveforms are obtained through inverse Fourier transform. The problems that in a current pulse type terahertz system, the inherent influence elimination cost of the system is high, and signals are prone to distortion are solved.

Systems and methods for improved audio signal processing include a plurality of audio input components configured to generate a plurality of audio input signals, and a logic device configured to receive the plurality of audio input signals, determine whether the plurality of audio signals includes a target audio associated with an audio source, estimate a relative position of the audio source with respect to the plurality of audio input components based on the plurality of audio signals and the determination of whether the plurality of audio signals includes the target audio, and process the plurality of audio signals to generate an audio output signal by enhancing the target audio based on the estimated relative position. The logic device is further configured to construct a cross-band aligned directional covariance matrix using a relative transfer based covariance and find a direction that minimizes a beam power under a distortionless criterion.

A vision system for a vehicle includes a camera configured to generate one of a distorted image and an undistorted image. An alignment system is configured to generate a region of interest (ROI) of a camera, generate a bird's-eye view (BEV) homography to convert undistorted points in the ROI into BEV points, generate a BEV image based on one of a distorted image and the undistorted image and one of the BEV homography and an updated BEV homography, and generate an alignment image based on the BEV homography and one of the updated BEV homography and the one of the distorted image and the undistorted image and the one of the updated BEV homography and the one of the updated BEV homography and the one of the updated BEV homography and the one of the updated BEV homography and the one of the updated BEV homography and the one of the distorted image and the undistorted image. The method includes adaptively updating a BEV homography to generate an updated BEV homography, detecting a current position of a feature in a BEV image, predicting a future position of the feature for a next BEV image, comparing the current position of the feature in the BEV image to a previous predicted position, and generating an updated BEV homography. And converting BEV points in the BEV image into undistorted points in the perspective undistorted image using an inverse of the updated BEV homography.

A method for processing images to remove distortions of various types without requiring retraining for per-type processing models, applied in an electronic device, establishes a distortion removal model, and inputs distorted images in the distortion removal model. General distortions are removed by the distortion removal model and the restored images are input into a deep learning model for final image processing. The deep learning model of the present disclosure finally corrects distortion in the images so that distortion-free images are obtained.