168 results about "Noise correction" patented technology

A method comprises processing M subband communication signals and N target-cancelled signals in each subband with a set of beamformer coefficients to obtain an inverse target-cancelled covariance matrix of order N in each band; using a target absence signal to obtain an initial estimate of the noise power in a beamformer output signal averaged over recent frames with target absence in each subband; multiplying the initial noise estimate with a noise correction factor to obtain a refined estimate of the power of the beamformer output noise signal component in each subband; processing the refined estimate with the magnitude of the beamformer output to obtain a postfilter gain value in each subband; processing the beamformer output signal with the postfilter gain value to obtain a postfilter output signal in each subband; and processing the postfilter output subband signals to obtain an enhanced beamformed output signal.

A Personal Noise Reduction for enclosed cabins is disclosed. According to one embodiment, an input audio source corresponding to sound received from multiple microphones situated equidistantly in both directions in a two dimensional plane, is converted to a digital signal via an analog to digital (A/D) convertor. The AID converted audio is analyzed for content to identify ambient noise. The frequency, amplitude and phase of the identified ambient noise is subsequently determined. A Noise correction sound wave is generated with negative phase of that corresponding to the identified ambient noise. The noise correction sound wave is added to the identified noise to create a noise corrected sound.

The invention relates to a tag noise correction based crowd-sourced tagging data quality improvement method. The method comprises the following steps: running a tag integration algorithm in an initial crowd-sourced tagging data set to form a data set after tag integration, and estimating tagger quality and integrated tag quality information of samples in the process; performing multi-round K-fold cross validation by utilizing the data set after tag integration, and constructing a high-quality data set; determining a tag noise set in combination with the tagger quality and the tag quality of the samples by utilizing a prediction probability of a class tag of each sample in the multi-round K-fold cross validation process; and training a classification model by utilizing the high-quality data set generated in the multi-round K-fold cross validation process, and performing prediction and replacement on the class tag of each sample in the tag noise data set by using the model. With the tag noise correction method, the quantity of potential noise tag samples in the data set after original tag integration is reduced, so that the data quality is improved.

Noise correction values are generated through the calculation of pixel offset values and average pixel output values during a calibration procedure. For each read calibration row, an average pixel output value is determined for a plurality of pixel output values. An offset value for each of the plurality of pixel outputs is generated by finding the difference between each of the plurality of pixel outputs and the calculated average pixel output value. An offset value for an entire row of pixel outputs may also be calculated by finding the average pixel output value for a plurality of optically black pixels in the imager row. The average pixel output value for the optically black pixel values may be refined by discarding pixel values outside a threshold window and substituting the average pixel output value and calculate a new average pixel value.

A system for detecting electromagnetic noise in a magnetic resonance imaging (MRI) scanner environment includes an antenna configured to detect electromagnetic noise. The antenna includes a first conducting loop and a second conducting loop oriented perpendicularly to the first conducting loop. The system also includes a noise correction system coupled to the antenna and configured to receive noise signals from the antenna.

An apparatus for removing a noise of a video signal is disclosed, by which a noise level can be effectively estimated to enhance an image quality of the video signal, by which the noise can be removed in a manner of effectively estimating a noise level though motion adaptive filtering, and by which blurring is prevented in the process of removing the noises. The present invention includes a temporal noise level estimation unit estimating a level of a temporal noise included in the video signal using a difference between two temporally consecutive videos, a noise correction unit correcting a noise estimated by the temporal noise level estimation unit, and a noise removal unit removing the noise included in the video signal using a level of the corrected noise.

A block noise removal device calculates a block boundary correction value. This correction value indicates a correction amount for a pixel sample value immediately before a block boundary position and a correction amount for a pixel sample value immediately after the block boundary position for each block boundary position in a pixel sample value sequence. Each pixel sample value represents a level of each pixel in a video signal. The block noise removal device obtains the block boundary correction value based on at least two consecutive pixel sample values immediately before the block boundary position and at least two consecutive pixel sample values immediately after the block boundary position. The block noise removal device then generates a block noise correction signal representing a correction amount for the pixel sample values corresponding to respective pixels in the pixel block is generated by performing interpolation computations based on the block boundary correction value found for each two adjacent block boundary positions. The block noise removal device adds the block noise correction signal to the video signal to produce a noise-removed video signal from which block noise has been removed.

There is disclosed a noise suppression device capable of improving the noise suppression accuracy while reducing the audio distortion. In this device, a suppression unit suppresses a noise component from the audio power spectrum by using the detection result of the audio-existing band and the noise band in the audio power spectrum including the noise component. A pitch harmonic structure extracting unit (105) extracts a pitch harmonic power spectrum from the audio power spectrum. An audio-existence judgment unit (106) judges whether the audio power spectrum has audio existence according to the extracted pitch harmonic power spectrum. A pitch harmonic structure repair unit (108) repairs the extracted pitch harmonic power spectrum. A per-band audio/noise correction unit (109) corrects the detection result according to the pitch harmonic power spectrum selected according to the result of judgment by the audio-existence judgment unit (106) among the repaired pitch harmonic power spectrum and the extracted pitch harmonic power spectrum.

A Noise Cancellation Process for enclosed cabins is disclosed. According to one embodiment, an input audio source corresponding to sound received from multiple microphones situated equidistantly in both directions in a two dimensional plane, is converted to a digital signal via an analog to digital (A/D) convertor. The A/D converted audio is analyzed for content to identify ambient noise. The frequency, amplitude and phase of the identified ambient noise is subsequently determined. A Noise correction sound wave is generated with negative phase of that corresponding to the identified ambient noise. The noise correction sound wave is added to the identified noise to create a noise corrected sound.

The invention discloses a colorful lattice point code picture and a three-dimensional bar code coding method thereof. Two kinds of unit code pictures with different sizes and shapes, namely color lattices and color points, are organically combined, and a corresponding coding method is combined to achieve the functions of colorful lattice data coding and colorful point data coding, data capacity is remarkably increased, and reliability and usability are improved. Besides data correction, data check and geometrical technologies of the existing code technology, the method further adopts brightness correction, noise correction and color correction and the like in CGP code, and is capable of effectively correcting brightness change and heterogeneity, color change and heterogeneity, code picture noise and the like. A geometrical correction method with higher density is adopted to improve anti-distortion capability. The unit code pictures of the existing two-dimensional and three-dimensional bar codes are most of one kind. The CGP code adopts two kinds of unit code pictures which are remarkably different in shape and size, and recognition in decoding process is convenient.

The invention provides a CMOS image sensor and a line noise correction method thereof. The CMOS image sensor comprises a reading circuit, a pixel array and a reference array. The pixel array and the reference array are respectively composed of a plurality of effective pixel units and a plurality of reference pixel units, and the effective pixel units and the reference pixel units are electrically connected with a power supply and the reading circuit, wherein the light sensitivity of the reference pixel units is zero. The CMOS image sensor is provided with the reference array on the basis of the pixel array, each pixel unit of the reference array serves as the reference pixel unit, line noise can be calculated by reading output values of the reference pixel units, so that reduction of the line noise is achieved, and image quality of the CMOS image sensor is improved.

The invention discloses a portable vibration noise correction and compensation method and device suitable for an atomic interference gravimeter. The method comprises the following steps: step S1, vibration phase shift measurement: monitoring the phase shift of interference fringes of a Michelson type homodyne laser interferometer caused by the vibration of a reflector by a four-channel phase shiftdetector; step S2, vibration phase shift extraction: through data processing, extracting total phase shift caused by the vibration of the reflector in the action process of three beams of Raman light; step S3, vibration phase shift correction: correcting and compensating phase shift caused by the vibration of the reflector in real time in a measured Raman laser phase-atomic transition probabilitysignal, and outputting the Raman laser phase-atomic transition probability signal without vibration noise. The device is used for implementing the method. The device has the advantage that the measuring sensitivity, stability and portability can be improved.

The invention discloses a vibration noise correction and compensation method suitable for an atomic interference gravimeter. The method comprises the steps of: collecting vibration signals of three dimensions of a Raman light mirror; performing preprocessing including denoising and distortion correction on the vibration signals of three dimensions; correcting the coupling of the vibration signalsof three dimensions after preprocessing to obtain the phase shift caused by the vibration in a corrected vertical direction; and subtracting the phase shift caused by the vibration in the corrected vertical direction by using the relationship between the vibration signals of three dimensions recorded in advance and an atomic population signal of the gravimeter to obtain the atomic population signal of the gravimeter without vibration noise. The vibration noise is greatly eliminated, and the sensitivity and stability of gravity measurement are improved by means of the above vibration noise correction and compensation method.

The present invention provides a signal processing device which, even when a defective pixel exists in the VOPB area B, can detect column noise accurately, and can carry out column noise correction. The signal processing device includes a solid-state image pickup element having a pixel part including an effective pixel area to be irradiated with light, and a vertical light-shielded pixel area where irradiation of light is shielded, a vertical scanning circuit, a horizontal scanning circuit, and an output circuit, a clamp section which clamps, to a predetermined reference value, black level values of pixel signals from the vertical light-shielded pixel area and effective pixel area, a threshold determination section which determines a threshold value, based on the predetermined reference value, a determination section which determines whether or not pixel signals from the vertical light-shielded pixel area that have the black level value clamped to the reference value by the clamp section exceed the threshold value determined by the threshold determination section, a defective pixel detector which detects a defective pixel among pixels arranged in the vertical light-shielded pixel area, and a signal processor which performs a predetermined signal processing on pixel signals from the vertical light-shielded pixel area that have a black level value clamped to the reference value by the clamp section.

The present invention provides an imaging device and an image signal processor. The present invention is configured of an imaging device that has: an imaging unit; a signal processing unit that performs signal processing on an image signal inputted from the imaging unit and outputs a luminance signal and a chrominance signal; a camera controlling unit that controls at least one of photographing conditions of optical conditions and exposure of the photographing unit and a signal processing condition of the signal processing unit; and a color noise correction unit that extracts and corrects a color noise component from the chrominance signal inputted from the signal processing unit. The camera control unit controls the color noise correction unit using information of the photographing conditions. Enhancing the image quality by suitable color noise correction is realized without depending on a subject, a photographing scene, and photographing conditions by determining and correcting a color noise component according to photographing conditions of a camera.

A Noise Cancellation Process for enclosed cabins is disclosed. According to one embodiment, an input audio source corresponding to sound received from multiple microphones situated equidistantly in both directions in a two dimensional plane, is converted to a digital signal via an analog to digital (A/D) convertor. The A/D converted audio is analyzed for content to identify ambient noise. The frequency, amplitude and phase of the identified ambient noise is subsequently determined. A Noise correction sound wave is generated with negative phase of that corresponding to the identified ambient noise. The noise correction sound wave is added to the identified noise to create a noise corrected sound.

An apparatus for removing a noise of a video signal is disclosed, by which a noise level can be effectively estimated to enhance an image quality of the video signal, by which the noise can be removed in a manner of effectively estimating a noise level though motion adaptive filtering, and by which blurring is prevented in the process of removing the noises. The present invention includes a temporal noise level estimation unit estimating a level of a temporal noise included in the video signal using a difference between two temporally consecutive videos, a noise correction unit correcting a noise estimated by the temporal noise level estimation unit, and a noise removal unit removing the noise included in the video signal using a level of the corrected noise.

The invention relates to a transition Reynolds number acquisition method under the condition of flight. Firstly, shrinkage model test meeting the test similarity criterion is carried out in a ground wind tunnel to obtain a transition Reynolds number under the ground simulation condition; secondly, air-ground difference analysis is conducted, and the change data of the transition Reynolds number with an amplification factor N at different wall temperatures is given based on the flow stability theory; thirdly, the change law of the reference value of the transition Reynolds number with the walltemperature is obtained, and a wall temperature correction formula is obtained through curve fitting; fourthly, the change data of the transition Reynolds number with the amplification factor N afternormalization is obtained, and a noise correction formula is obtained; and finally, a unified extrapolation formula is formed, and a transition Reynolds number under the condition of flight is obtained through extrapolation based on a ground transition Reynolds number. The method has the advantage as follows: the transition test data is highly reliable and accurate, the cost of the method is muchlower than that of a method in which an association formula is obtained through test data fitting; and the data obtained by the stability theory is more regular, and the function relation is more accurate.