67 results about "Phase quantization" patented technology

The invention provides a synthetic aperture radar (SAR) image bionic recognition method based on sample generation and nuclear local feature fusion and belongs to the field of image processing technologies and SAR target recognition. According to the method, a super complete training sample set is firstly constructed for training to obtain geometry manifold, then a sample to be recognized is recognized, specifically, each sample is firstly subjected to image denoising by a K-SVD dictionary learning method, and object region extraction is achieved by means of an object centroid method; and feature extraction is performed respectively by combining local phase quantization (LPQ) and a Gabor filtering method, feature fusion is performed, finally, classification is performed by covering of high-dimensional geometry manifold, and recognition is performed by a bionic mode. According to the SAR image bionic recognition method based on sample generation and nuclear local feature fusion, inhibiting effects of image coherent noises are obvious, SAR image features can be effectively extracted, the problem of the unstable extracted features, which is caused by changes of attitude angles of SAR images, is solved, the recognition accuracy is high, and the method has good robustness.

The invention discloses a method for objectively evaluating image quality. The method comprises the following steps of: dividing a reference image and a distorted image into an edge region, a texture region and a planar region in a combined way according to gradient amplitude information of each pixel point in the reference image and the distorted image; performing phase quantization coding on the reference image and the distorted image according to a gradient phase and a gradient amplitude of each pixel point in each region; calculating hamming distances for the phase quantization coding of different regions of the reference image and the distorted image; and giving different weights to the hamming distances of the different regions according to a human visual system so as to acquire a final object score of image quality evaluation. In the method, since the influence of variation of the distorted image relative to the gradient amplitude and the gradient phase of the reference image on the quality of the distorted image is comprehensively considered, an objective evaluation result obtained by the method has high consistency with a human eye subjective perception result; in addition, the method has low calculation complexity and high running speed.

The present invention discloses a radar interference identification method with distance and speed simultaneous pull-off. The method comprises a step of establishing a radar interference signal model with interferometer transmitting distance and speed simultaneous pull-off, wherein, a target carries the interferometer, and the real target echo signal received by a radar is obtained; a step of setting an interferometer input signal, receiving a wideband linear modulation signal by the interferometer, calculating the distance-speed simultaneous pull-off interference signal outputted by the interferometer, and calculating a distance-speed simultaneous pull-off interference signal with phase quantization, a step of setting the echo signal received by a target and an echo signal received by the radar and obtaining real target echo baseband signal or a distance-speed simultaneous pull-off baseband interference signal with phase quantization, and a step of orderly setting a characteristic interference signal error angle and the category of the echo baseband signal received by the radar and thus identifying the interference signal or a target signal.

A video codec of a preferred embodiment is suitable for implementation on a variety of platforms, including platforms where devices require both encoding and decoding engines. Various features of preferred embodiment codecs reduce complexity for operations such as motion determination. Channel resources are allocated in preferred embodiments unequally, with an allocation being determined based upon channel conditions and the error level in a frame being encoded. A decoder of a preferred embodiment, provided with an error frame and motion vector information may conduct decoding with motion compensation. In an example encoder of the invention, a motion estimator identifies motion vectors using a phase plane correlation technique based on phase quantization, where the phase difference between the Fourier transformed version of blocks in a reference frame and a current frame is estimated by dividing the complex plane into sectors and assigning the Fourier domain difference to the sectors.

A method for concatenating precoder selection is provided for orthogonal frequency division multiple access (OFDMA)-based multi-base station (BS) multiple-input multiple-output (MIMO). A cell-edge mobile station first determines precoding matrix indexes (PMIs) for a serving base station and one or more cooperative base stations to optimize system performance. The mobile station then determines a plurality of corresponding weight factors for each of the base stations to further optimize system performance. The mobile station recommends the selected PMIs and weight factors to the serving base station, which shares the PMIs and weight factors with cooperative base stations. Each base station then applies precoding using the recommended PMIs and weight factors. The weight factors are quantized to reduce computation complexity and to facilitate information feedback. In one embodiment, the weight factors are determined based on a pre-defined 3-bit uniform phase quantization rule. The concatenated precoder leads to large performance gain without introducing high computation complexity.

Described is an arrangement for digital frequency synthesis with a device for phase quantization and a device for amplitude quantization, based on a reference clock and a phase increment value, wherein the device for phase quantization is followed in the signal path by a device for noise shaping of the phase. In addition, a device for noise shaping of the amplitude is provided, which follows the device for amplitude quantization in the signal path. The instant abstract is neither intended to define the invention disclosed in this specification nor intended to limit the scope of the invention in any way.

The invention provides a microwave photon delay time measurement calibration device. The device includes three parts of a delay time measurement system, a phase detection calibration system and a to-be-measured optical path. A set of single-frequency signals generated by a signal generator inside the phase detection calibration system can select and use other multiple different frequency points, all the frequency points satisfy certain multiple relationships, and microwave photon link delay time is calibrated through detecting differential phases of all the frequency points between a referenceoptical link and the measured optical link and phase quantization. The device of the invention eliminates the 360-degree phase ambiguity problem in phase measurement on a principle scheme, can realize accurate calibration on a high-precision optical delay time quantity measurement device by using a highly stable hydrogen clock and an optical delay model, and can use more standard frequency signals for larger delay time quantity measurement.

The invention relates to the technical field of traffic image processing and discloses an improved grayscale projection image stabilization method suitable for tunnel environmental characteristic. Themethod comprises the following steps of (1) acquiring a video image and establishing a reference frame; (2) performing multi-scale gaussian fitting on the video image; (3) dividing the fit video image into multiple sub-region windows; (4) performing gray scale projection of LPQ (Local Phase Quantization) characteristic-weighting on each sub-region window to obtain multiple row projection curves and column projection curves; and (5) estimating a jittering vector according to the row projection curve and the column projection curve obtained in step (4), and correcting a current image frame by use of the jittering vector. According to the improved grayscale projection image stabilization method suitable for the tunnel environmental characteristic, beginning from an actual environment of an expressway tunnel, a gray scale difference value between blurred image pixels is increased by use of the LPQ characteristic weighting with fuzzy robustness, the current frame is corrected through multi-scale Gaussian estimation and a local difference between current frame and background frame projection curves, the accuracy for overall jittering vector estimation is improved based on the concept ofmultiple sub-region windows and finally the improved grayscale projection image stabilization method suitable for the tunnel environmental characteristic is formed.

The invention discloses a high resolution group quantization phase processing method under a pilot frequency architecture. The method comprises the following steps of A, using a signal processing system to process a reference signal and a measured signal and then simultaneously inputting into a phase quantization fuzzy region to generate a circuit and a flip and flop generator; B, carrying out phase quantization accumulation on the input reference signal and the measured signal and transmitting an output signal to a data selector; C, using the data selector to output a final phase contrast result and acquiring a maximum common factor period and group quantization of a comparison signal, and transmitting the output signal to a real-time measurement gate generation circuit; D, detecting a phase of the group quantization and transmitting a result to a time frequency multiparameter measurement system; E, using the time frequency multiparameter measurement system to complete several parameter measurements to the measured signal. By using the method in the invention, in a radio frequency scope, without frequency synthesis and conversion, a wide-band, rapid and high-resolution time frequency multiparameter measurement and contrast between any frequency signals can be completed.

The invention discloses a face identification method based on multiscale local phase quantization characteristics. The face identification method is realized under the condition that a digital camera serves as a sensor and under the support of a digital signal processing chip. The face identification method is characterized by including the steps as follows: conducting pretreatment such as alignment, scaling, filtering and the like on a face image obtained by the digital camera; calculating a horizontal gradient image and a vertical gradient image; calculating an integral image to obtain an image set of multiscale local phase quantization characteristics of a face; preliminarily obtaining a candidate characteristic set by applying Adaboost characteristic selector; and obtaining a face characteristic vector in low dimensional space by utilizing multiple subspace linear discrimination analyzers, and matching the face characteristic vector with a pre-built face characteristic template to obtain the identity information of identify people. The face identification method has good identification rate, low misclassification rate and fast calculation speed, is especially suitable for embedded products and can be popularized and applied in a large scale.

The invention discloses an EGT-and MRC-based phase TCQ (trellis coded quantization) method for an MISO (multiple input single output) wireless system. The method is characterized by including the steps of firstly, a sending end sending beam forming by EGT, and a receiving end receiving the sent beam forming; secondly, quantifying a vector phase of beam forming by an n-bit TCQ quantizer; and thirdly, the receiving end feeding back quantization result to the sending end. The existing phase quantization technology includes SQ (scalar quantization) and VQ (vector quantization), an SQ method is simple but low in flexibility and performance, the VQ is higher in flexibility and performance than the SQ, the sending end and the receiving end require codebook storage, and design of high-dimensional VQ is difficult. The phase is quantified by TCQ, and the phase TCQ method is high in performance without codebook storage and is easy to implement.

A system for generating an RFPWM signal comprises a delta sigma modulator having a plurality of outputs, a phase-locked loop comprising a plurality of phase quantization outputs, at least one multiplexer having a plurality of signal inputs, a plurality of selector inputs, and at least one output, the signal inputs communicatively connected to the phase quantization outputs of the phase-locked loop and the selector inputs electrically connected to the outputs of the delta sigma modulator, and a driver having an input communicatively connected to the output of the multiplexer and an output generating an RFPWM signal. A method of generating an RFPWM signal is also described.

The invention discloses a repeated image recognition method and device, equipment and a medium. The method comprises the following steps of: intercepting a cut image from the to-be-identified image; converting the cut image to obtain a grayscale image, a hue saturation image and a color video image; obtaining all normalized values of a local phase quantization characteristic histogram of the grayscale image through a local phase quantization method; obtaining all standard values of a first adjacent local binary pattern feature histogram of the hue saturation image through an adjacent local binary pattern method; and meanwhile, obtaining all standard values of a second adjacent local binary pattern feature histogram of the color video image through an adjacent local binary pattern method, performing sorting according to a mantissa zero padding method to obtain a matrix graph, inputting the matrix graph into a deep convolutional neural network model, and extracting texture signal frequency statistical features to obtain an identification result. According to the invention, whether the certificate or the image is copied or not can be quickly, effectively and conveniently recognized, and the recognition accuracy is improved.

The invention discloses an LFM pulse radar anti-DRFM-interference method based on moving target detection. The LFM pulse radar anti-DRFM-interference method utilizes the characteristic of MTD that energy of target and interference echoes is concentrated respectively, two kinds of echo information are sorted out according to peak values, time-domain signals are restored through inverse MTD processing and inverse pulse compression processing respectively, and target and interference discrimination is achieved by utilizing the characteristic of DRFM phase quantization. The LFM pulse radar anti-DRFM-interference method has the advantages that: the performance is stable under the condition of low signal-to-noise ratio; and the probability of accurately discriminating target and interference reaches up to 100% when the signal-to-noise ratio is greater than -15dB and DRFM interference quantization bits are less than or equal to 3.

The invention discloses a high-precision multiple-wave interference phase quantization method based on phase sensitive amplification in all-optical signal processing. The method comprises the steps of improving and rectifying the quantization result of a low-order harmonic by introducing one or more specific higher-oder harmonics based on choosing a specific phase harmonic and signal light to conduct interference currently; controlling precisely the power ratio between interference light waves by the achievement method of separation of interference light wave generation and superposition simultaneously. According to the high-precision multiple-wave interference phase quantization method based on the phase sensitive amplification, a more precise phase quantization result and more convenient power ratio control are brought by, and meanwhile the method can be applied to the regeneration of phase-modulated signals and achieve the purpose of high-precision quantization.

A method for generating a holographic image, a signal processor, a holographic image display device, a wearable apparatus, and an onboard head-up display apparatus. The method comprises: performing holographic transformation on the basis of a target amplitude phase distribution of a target image to obtain a holographic phase image; performing phase quantization of the holographic phase image to obtain a quantized holographic image; performing inverse holographic transformation of the quantized holographic image to obtain a reconstructed image; if the reconstructed image satisfies a preset condition, determining that the quantized holographic image is a target holographic image; if not, constraining the amplitude phase of the reconstructed image and, on the basis of the amplitude phase constrained image, continuing iteration. The present method can rapidly and effectively implement monochrome or multi-colour high contrast ratio, low noise real-time holographic image generation and display, and the imaging distance can be freely adjusted.

Provided is a method for assessing image quality using quantization codes, which includes: filtering an original image and a distorted image; generating phase quantization codes from the filtering result; calculating a Hamming difference between the phase quantization code of the original image and the phase quantization code of the distorted image; and assessing image quality of the distorted image by using the calculated Hamming difference. According to the present disclosure, since pixel values of the original image and the distorted image are mapped onto a quantized complex plane and then binary code operation is performed, it is possible to easily implement to image quality assessing hardware and also ensure excellent image quality assessing performance.

A method, apparatus, and system for encoding or decoding a broadband voice signal are provided. The method includes extracting a linear prediction coefficient (LPC) from the broadband voice signal; outputting a linear prediction (LP) residual signal; pitch-searching a spectrum of the LP residual signal; extracting spectral magnitudes and phases of the LP residual signal, which correspond to a damping factor; obtaining, from among the extracted spectral magnitudes and phases, a first spectral magnitude and a first phase at which a power value of the LP residual signal is minimized; quantizing the first spectral magnitude and the first phase; and decoding the broadband voice signal. The apparatus includes a linear prediction coefficient (LPC) analyzer; an LPC inverse filter; a pitch searching unit; a sinusoidal analyzer; and a phase and spectral magnitude quantizer. The system includes a broadband voice encoding apparatus and a broadband voice decoding apparatus.

The embodiment of the invention provides an image feature extraction method and system. The method comprises a step of determining a target image to be processed, a step of extracting the HOG feature of the target image based on a direction gradient histogram HOG algorithm, a step of visualizing the HOG feature based on a preset visualization formula so as to obtain an visualization image, a step of extracting a local phase quantization (LPQ) feature from the visualized image, and a step of taking the extracted LPQ feature as the image feature of the target image. By applying the embodiment of the invention, the calculation amount of carrying out feature extraction on the image is reduced.

A pragmatic trellis code modulation decoder including a demodulator for receiving a modulated signal and computing coordination values of symbols of the modulated signal on an I-axis and Q-axis in a constellation; a coset mapper for generating 3-bit soft decision data based on the computed coordinate values; a viterbi decoder for receiving 3-bit soft decision data and generating 1-bit data as a coded data by decoding the 3-bit soft decision data; a re-encoder for receiving the 1-bit data from the viterbi decoder and obtaining un-coded information in order to compute an un-coded data; a sector phase quantizer for obtaining I channel and Q channel information based on the coordination values from the demodulator in order to obtain un-coded data; a time delayer for delaying output of the sector phase quantizer until the re-encoder outputs the un-coded information; and a non-coded code decoder for computing the un-coded data.

The invention relates to the technical field of phase arrays and discloses a method for improving phased array beam-pointing accuracy. The method specifically comprises the following steps: calculating a phase shifter phase feeding quantization step value according to the number of array elements; initializing the quantization step value and an ideal phase feeding value; determining a central array element position; calculating the times of the total recursion of a whole extrapolation process; finding a phase shifter phase feeding quantization step value which has a smaller different absolute value with the ideal phase feeding value of the central array element and using the phase shifter phase feeding quantization step value as an actual phase feeding value of a central array element phase shifter, and calculating an initial phase error; entering the extrapolation array element phase feeding; keeping a smallest accumulated phase error of an affirmed phase feeding array element in an extrapolation result; and circulating the extrapolation array element phase feeding till the times of the extrapolation being equal to the times of the total recursion so as to accomplish the phase feeding of all array elements. At the moment, all array elements have the smallest accumulated phase error; and a beam pointing error achieves a smallest value according to a linear relationship between the phase quantization error and the beam pointing error, and then the beam pointing accuracy of the phased array is improved.

The invention discloses a phase quantization analog-to-digital converter circuit with addition weight calibration, which relates to a micro-circuit structure, and especially relates to an analog-to-digital converter circuit for realizing phase quantization. Aiming at the problems that an adder module of a traditional circuit is nonlinear in phase weighting and the amplitude weights between different phases are different, the invention provides a novel circuit architecture: an addition weight calibration module is added on the basis of the traditional circuit, and the module comprises an error voltage detection sub-module and a quiescent current regulation sub-module. The addition weight calibration module detects the output voltage of an adder, controls the operating state of the adder module and realizes the addition weight calibration. The phase quantization analog-to-digital converter circuit with the addition weight calibration provided by the invention can eliminate the phase error induced by the nonlinearity of the adder module and the difference of amplitude weight between different phases, improve the circuit performance, save research and development time and cost and has a good application prospect.

A turbo TCM decoder for performing a soft decision without performing a sector phase quantization is disclosed. The turbo TCM decoder includes: a symbol transformer for converting a received signal to signal bits of QPSK mode by using an I-axis coordinate and a Q-axis coordinate on a constellation of the received signal; a phase sector quantizer for performing a phase sector quantization or the received signal by using the I-axis coordinate and the Q-axis coordinate; a first decoder for determining coded data by decoding the converted signal bits; a delay for delaying the quantized signal; and a second decoder for determining un-coded data by using the delayed quantized signal and the determined coded data.

The invention belongs to the technical field of phase comparison. The method is especially suitable for phase comparison of different nominal frequencies. The invention specifically relates to a method for accurately acquiring signal frequency and frequency stability through digital phase comparison. The phase processing technology is combined with the development of the modern digital technologyon the basis of improving the frequency measurement precision. An analog-to-digital converter (ADC) is adopted as a phase discriminator to realize combination of inter-phase quantization processing and amplitude, phase comparison of any signal is expanded to a phase difference group, and direct phase comparison and measurement of any periodic signal with different nominal values are realized by taking a minimum common multiple period as a period. The digital measurement technology is adopted, direct comparison between different nominal frequency signals can be achieved through the digital technology and the relation between phases of periodic signals, and compared with a traditional analog measurement technology, the method has better anti-interference capacity, and frequency normalizationprocessing is not needed.

The invention discloses a non-reference screen image quality evaluation method based on global information. According to the method, Gabor filtering is implemented on a distorted screen image to obtain Gabor amplitude images and Gabor phase images in multiple scales and multiple directions; CLBP (Completed Local Binary Pttern) operation is used to process the Gabor amplitude images in the multiple scales and the multiple directions to obtain CLBP feature images; LPQ (Local Phase Quantization) operation is used to process the Gabor phase images in the multiple scales and the multiple directions to obtain LPQ feature images; joint probability function values of the CLBP feature images and the corresponding LPQ feature images are calculated; then respective conditional probability statistic feature vectors of the CLBP feature images and the LPQ feature images are acquired; and finally, support vector regression (SVR) technology is utilized to predict and obtain an objective quality evaluation prediction value of the distorted screen image. The method has the advantages that influences of a global information change on visual quality can be fully taken into account, and thus correlation between an objective evaluation result and a subjective perception can be improved.

The invention provides a channel state information reporting method, a channel state information decoding method, a terminal and network side equipment. The channel state information reporting methodcomprises the following steps: acquiring phase quantization information of phase coefficients of a plurality of to-be-reported sub-bands and amplitude quantization information of amplitude coefficients of the plurality of to-be-reported sub-bands; wherein the plurality of phase coefficients are quantized by using the same or different quantized bits to obtain the phase quantization information, and the plurality of amplitude coefficients are quantized by using the same or different quantized bits to obtain the amplitude quantization information; reporting the phase quantization information andthe amplitude quantization information to network side equipment through the same part or different parts of CSI; the reporting method can further reduce the feedback overhead.

Systems and methods for audio signal processing including an input interface to receive a noisy audio signal including a mixture of target audio signal and noise. An encoder to map each time-frequencybin of the noisy audio signal to one or more phase-related value from one or more phase quantization codebook of phase-related values indicative of the phase of the target signal. Calculate, for eachtime-frequency bin of the noisy audio signal, a magnitude ratio value indicative of a ratio of a magnitude of the target audio signal to a magnitude of the noisy audio signal. A filter to cancel thenoise from the noisy audio signal based on the phase-related values and the magnitude ratio values to produce an enhanced audio signal. An output interface to output the enhanced audio signal.

The invention discloses a phase domain analog-digital converter comprising a reuse combiner and a reuse comparator, wherein the combiner performs different weights of amplification or minification on in-phase input or orthogonal input analog signals; the comparator compares the amplified or minified in-phase signal with the amplified or minified orthogonal signal to acquire quantized digital information; amplification and minification operation of the combiner is equivalent to dividing a complex plane into different sections; comparison operation of the comparator is equivalent to positioning the phase of the input signal into the section of the complex plane; the combiner respectively generates different magnifications according to a previous quantization result of the comparator at different moments, and the comparator correspondingly generates a digital quantization output for the next moment until phase quantization with specific accuracy is completed. According to the phase domain analog-digital converter provided by the invention, the active circuit is reused as much as possible in the case of fully considering characteristics of the receiver under different modulation modes and code rates, quantization difficulty of the phase information is greatly simplified, and power consumption and cost of the converter are reduced.