34 results about "Separable denominator" patented technology

The invention discloses a direct digital synthesis method and system based on a mixed fraction proportion. The method comprises the following steps: determining an integer frequency control word, a numerator frequency control word and a denominator frequency control word based on a target frequency, a sampling frequency and a bit width of a phase accumulator; performing a fractional phase accumulation operation based on the sampling frequency, the molecular frequency control word, and the phase accumulator to generate a carry signal; performing integer phase carry and accumulation operation in parallel with the fractional phase accumulation operation according to the sampling frequency, the integer frequency control word and the phase accumulator to obtain an integer phase value; and acquiring a waveform digital amplitude corresponding to the integer phase value, and performing signal conversion according to the waveform digital amplitude to obtain an amplitude signal corresponding to the target frequency so as to improve the precision of the frequency synthesis signal.

The invention provides a real-time interaction-oriented index aperture unified processing method, computer equipment and a computer program product, and belongs to the technical field of artificial intelligence, and the method comprises the following steps: receiving and analyzing a dictation request of a user, and generating a structured context state vector; based on the context state vector, obtaining a plurality of candidate denominator calibers matched with the dictation request and a basis thereof from a calibers knowledge base; generating a constraint strategy set based on the context state vector, the candidate denominator caliber and the basis thereof; based on a constraint strategy set, performing consistency judgment through the candidate denominator calibers to determine a unique denominator caliber; based on the unique denominator caliber, generating an index description format final draft, and embedding a restriction rule for prohibiting visual comparison of inconsistent indexes into the index description format final draft; and rendering in a data visualization interface according to the index description format finalization and the restriction rule thereof, and intercepting and guiding the parallel display operation violating the restriction rule in real time.

The application discloses a numerically controlled oscillator based on double modulus accumulation and a method for improving frequency resolution, and the numerically controlled oscillator comprises a parameter configuration module, a carry processing module and a main phase accumulator. The parameter configuration module is used for configuring an integer part and a fractional part of a frequency control word based on a target output frequency, and the fractional part comprises a numerator modulus and a denominator modulus. The carry processing module is used for accumulating the fractional part of the frequency control word. On the basis of expanding an arithmetic logic bit width, a parallel pre-judgment architecture is adopted to generate a carry signal to the main phase accumulator according to the numerator modulus and the denominator modulus. The main phase accumulator is used for accumulating the integer part of the frequency control word and simultaneously updating a phase value according to the carry signal, so that a high-resolution frequency output is realized. The application decomposes the frequency control word into the integer part and the fractional part through the double modulus accumulation architecture, dynamically corrects the integer phase by using an accumulation carry mechanism of the fractional part, and realizes a frequency resolution much higher than that of a traditional structure without significantly increasing the bit width of the main phase accumulator.

This invention discloses a floating-point-fractional hybrid anchoring method and computational system for suppressing iteration errors, belonging to the field of high-precision numerical computation technology. It solves the technical problems of pseudo-chaos caused by the accumulation of iteration errors in pure floating-point calculations, the computational power explosion in pure high-precision fractional calculations, and the inability to simultaneously achieve both computational power and precision. This invention completes high-speed iterative computations of nonlinear systems using a general floating-point format. After each floating-point calculation, an optimal rational number approximation algorithm is used to convert the calculation result into a simplified rational number with a denominator not exceeding a preset threshold, eliminating the original errors introduced by floating-point truncation and rounding. The purified rational number is then converted back to floating-point format to participate in the next iteration, relying on a bounded rational number anchoring mechanism to progressively block the error amplification chain. The denominator threshold is set to 10¹²~10¹ based on the effective number of bits of the floating-point number. 5 This invention can adaptively adjust to various scenarios such as embedded terminals, supercomputing, and industrial control, and optimizes the continued fraction algorithm to achieve the globally optimal rational approximation under a given upper limit of the denominator. It requires no dedicated large number hardware and combines the advantages of high-speed, low-load floating-point operations with zero approximation error in rational numbers. It can be stably used in nonlinear computing scenarios that are sensitive to initial values ​​and require long-term stable iterations, such as chaotic simulation, vehicle trajectory prediction, industrial PID closed-loop control, 5G / 6G communication channel simulation, microscale meteorological simulation, and large-scale number theory zero-point verification. It effectively eliminates numerical trajectory drift, reduces equipment computing power consumption, and minimizes the workload of manual calibration and data screening, possessing extremely high engineering and academic application value.

This application provides a method, computer device, and computer program product for unified processing of indicator definitions for real-time interaction, belonging to the field of artificial intelligence technology. The method includes: receiving and parsing a user's verbal request and generating a structured contextual state vector; based on the contextual state vector, obtaining multiple candidate denominator definitions and their basis from a definition knowledge base that match the verbal request; generating a set of constraint strategies based on the contextual state vector, the candidate denominator definitions, and their basis; based on the set of constraint strategies, performing consistency adjudication through the candidate denominator definitions to determine a unique denominator definition; generating a finalized indicator description format based on the unique denominator definition, and embedding a restriction rule for prohibiting the visual comparison of inconsistent indicators into the finalized indicator description format; rendering the finalized indicator description format and its restriction rule on a data visualization interface, and intercepting and guiding parallel display operations that violate the restriction rule in real time.

In ERIT, it is necessary to set a reference model for generating a target command for an ideal response before FF control design, and if an appropriate reference model cannot be set, coupled vibration caused by a plurality of structures cannot be suppressed. Further, when the characteristics of the plant are partially or entirely unknown, it is practically impossible to provide an appropriate reference model. Therefore, an object of the present invention is to provide a design method and a design device for data-driven damping feedforward control that can eliminate the need to set a complicated reference model.SOLUTION: A feedforward control design method has a controller structure in which a plurality of feedforward controllers to be designed are provided, a denominator polynomial of each feedforward controller is common, and a numerator polynomial is a free parameter, and the free parameter is designed by solving an optimization problem for minimizing a deviation between a target command generated by one feedforward controller among the plurality of feedforward controllers and a predicted response.SELECTED DRAWING: Figure 2

A video encoding / decoding method, a bitstream transmission method, and a computer-readable recording medium for storing a bitstream are provided. The video decoding method according to this disclosure is a video decoding method performed by a video decoding device, and includes the steps of: obtaining size information from an NNPFC (neural-network post-filter characteristics) SEI (supplemental enhancement information) message; and determining the size of an output picture based on the size information, wherein the size information includes information for the numerator of the ratio between the size of the output picture and the size of the input picture and information for the denominator of the ratio.

The application discloses a direct digital synthesis method and system based on a mixed fractional ratio, and the method comprises the following steps: determining an integer frequency control word, a numerator frequency control word and a denominator frequency control word based on a target frequency, a sampling frequency and a bit width of a phase accumulator; performing a fractional phase accumulation operation based on the sampling frequency, the numerator frequency control word and the phase accumulator to generate a carry signal; performing an integer phase carry and accumulation operation in parallel with the fractional phase accumulation operation according to the sampling frequency, the integer frequency control word and the phase accumulator to obtain an integer phase value; and obtaining a waveform digital amplitude value corresponding to the integer phase value to perform signal conversion according to the waveform digital amplitude value to obtain an amplitude signal corresponding to the target frequency, so that the accuracy of a frequency synthesis signal is improved.

The application discloses a numerical control machine tool positioning precision compensation method based on a position instruction frequency division algorithm. The method can comprise: establishing a starting origin and a detection end point of numerical control machine tool feed shaft positioning precision detection; measuring the length of the detection stroke and the positioning error of the feed shaft between the starting origin and the detection end point through a laser interferometer; according to the length of the detection stroke and the positioning error, iteratively optimizing a position instruction frequency division numerator and a position instruction frequency division denominator; and according to the iteratively optimized position instruction frequency division numerator and the position instruction frequency division denominator, compensating the positioning precision of the numerical control machine tool. The positioning precision of the numerical control machine tool feed shaft is measured through the laser interferometer, the numerical control machine tool positioning precision compensation method based on the position instruction frequency division algorithm is established, and the positioning precision of the numerical control machine tool can be improved.

The invention provides a music time coding method for artificial neural network modeling. The method aims at the coding requirement of music beat time, molecules are decomposed according to a fixed denominator for multi-bit independent classification coding, and the method comprises the following steps: setting the fixed denominator as a composite number and decomposing the composite number into a prime factor combination; the molecules are mapped into vectors, the value range of each bit is determined by a cardinal number of a prime factor combination, and the vectors are converted into one-hot coding sub-vectors with redundant components removed. The technical scheme of the invention solves the problem that the traditional mean square error (MSE) ignores the internal correlation of scores and has high sparsity in the topology recognition task of an optical music recognition system (OMR), and compared with a traditional coding method adopting floating point numerical output and a mean square error loss function under the conditions of the same data set, model architecture and training hyper-parameters, the method provided by the invention has the advantages that the coding efficiency is greatly improved; according to the method, the comprehensive error index is reduced by about 21%, and the model precision and the training efficiency are improved.

The invention provides a method and system for calculating a Cole-Cole model by using a rational fraction approximation method, a medium and a product, and relates to the field of electric digital data processing. An error expression between a Cole-Cole target model and a rational fraction approximation function before solving is multiplied by a denominator polynomial of the approximation function, and a denominator coefficient to be solved is moved to a linear expression from a denominator position, so that a linearized error function is obtained. Then, on the basis of the linearization error, discrete sampling points are selected in the full frequency band, and a target function with the purpose of minimizing the sum of errors is established. A nonlinear problem which needs to be solved through complex iteration originally is converted into an optimization problem which can be solved in a one-time and deterministic mode through a standard linear solving algorithm. The high efficiency of the solving process and the stability of the result are ensured, the effect and the accuracy of the induced polarization effect are improved, and meanwhile the cost is reduced.

The application provides a global sparse texture filtering method based on edge structure preservation, including introducing a texture inhibition function in a penalty term, and constraining the gradient of an output image, the texture inhibition function inhibits texture, noise and unnecessary detail information in the image by setting two threshold values, then using the inhibited gradient as the input of the denominator of the penalty term, so that the penalty term can sufficiently distinguish texture and structure; sparse regular L1 norm is used to constrain the penalty term, non-convex optimization is converted into a convex optimization problem by introducing a sub-gradient, and an alternating direction multiplier method is used for iterative solution, so that better edge preservation is achieved; sparse L p Norm is used to constrain the penalty term and a preconditioned conjugate gradient method is used to accelerate and improve the calculation efficiency, so that more robust and sparse image smoothing effect is achieved. The application can improve the robustness of the algorithm in distinguishing texture and structure, retain better semantic information, and achieve better edge structure preservation and smoothing performance.

The application discloses a PCB micro-defect target detection method based on an improved RT-DETR, which comprises the following steps: acquiring and amplifying a PKU-Market-PCB dataset, and dividing the dataset into a training set, a test set and a verification set; constructing a micro-defect target detection network for training; and performing target detection by using the trained model. The application constructs a light-weight high-resolution feature path, introduces a P2 shallow high-resolution feature layer in a feature pyramid, and configures a partial convolution structure in a backbone network, so as to retain micro-defect spatial edge features and reduce redundant calculation amount. For micro-defect regression, an SG-GCD metric with a fixed scale lower limit constraint introduced in a calculation denominator is constructed, an SCA-Loss loss function is designed, and dynamic weighted calculation of boundary overlap accuracy and center distance measurement is realized by using a global learnable parameter. The application reduces the model parameter amount, improves the training stability, and improves the detection accuracy.

The application provides a joint time-frequency domain equalization method under PSK and QAM modulation, which comprises the following steps: receiving an initial signal, sampling, obtaining an initial head scattered pilot, processing the initial head scattered pilot, realizing time domain cross-correlation and autocorrelation, respectively performing fast Fourier transform on a first processed signal and a second processed signal to obtain a third processed signal and a fourth processed signal, taking the third processed signal as a numerator and the fourth processed signal as a denominator to obtain a channel estimation frequency response, estimating a signal-to-noise ratio of the second processed signal to obtain a signal-to-noise ratio curve, calculating a signal-to-noise ratio estimation value according to a peak value in the signal-to-noise ratio curve and data variance calculated according to other data, combining the channel estimation frequency response to obtain a frequency domain equalization coefficient, processing second data and a tail scattered pilot in the initial signal to obtain a fifth processed signal, and combining the frequency domain equalization coefficient to obtain a time domain signal.

A fast iterative adaptive method, a direction-of-arrival estimation method, a signal processing method, an integrated circuit, an electromagnetic wave device and a terminal device can reduce the complexity calculation amount of direction-of-arrival estimation processing. The fast iteration adaptive method is used for direction of arrival estimation, and comprises the following steps: when angle signal parameters are calculated in each iteration, using a Capon power spectrum calculated in the last iteration to approximate a current denominator term, so that a processor calculates the angle signal parameters of this time by adopting the following angle signal parameter formula, x < k > (t) is a tth angle signal parameter and is a Capon power spectrum calculated during (t-1) th iteration, aH (theta < k >) is a conjugate transpose of a steering vector a (theta < k >), R is a covariance matrix, y is a received signal vector, and k represents a sampling point number of DOA.

The invention discloses a permanent magnet synchronous linear motor multiplicative disturbance compensation method based on iteration feedforward setting, and belongs to the technical field of precision motion platform control. The motion control system comprises a physical system which comprises a motion system, additive interference and position-related multiplicative nonlinearity; the control system comprises a feedback controller, a track-related feedforward controller, an additive disturbance compensation term and a multiplicative nonlinear compensation term. The method comprises the following steps: S1, parameterizing a rational feedforward controller; s2, designing a feedforward iteration setting method based on data; and S3, designing an internal loop iteration method. According to the rational feedforward controller disclosed by the invention, the algebraic loop problem is avoided, and complete parameterization can be realized, so that relatively high task flexibility is kept; meanwhile, numerator and denominator polynomial parameters are optimized, and better parameter adjustment precision is achieved; according to the internal loop iteration process, the servo error of each experiment is fully utilized to construct a more accurate data model, and the parameter convergence speed in the parameter adjustment process is effectively improved.

Techniques are disclosed relating to circuitry for floating-point division. In some embodiments, the circuitry is configured to generate a subnormal result for a division operation that divides a numerator by a denominator. The circuitry may include floating-point circuitry configured to perform a reciprocal operation to determine a normalized mantissa value for the reciprocal of a floating-point representation of the denominator. The circuitry may further include fixed-point circuitry configured to multiply a fixed-point representation of the normalized mantissa value for the reciprocal by a mantissa of the numerator to generate an initial value. Control circuitry may determine error data for the initial value and generate a final subnormal mantissa result for the division operation based on the error data and the initial value. Embodiments with multiple modes with different accuracy guarantees are disclosed.

Embodiments of the invention provide a floating-point number power function operation method and apparatus, a computer device and a storage medium. The method comprises the steps of obtaining an independent variable and a power of a target power function; the power of the target power function is decomposed according to a preset format, an integer value and a score value corresponding to the power are determined, and the score part comprises a numerator value and a denominator value; decomposing the target power function into a first power function and a second power function according to an integer value, a numerator value and a denominator value corresponding to the power; and determining the value of the target power function based on the first power function and the second power function. The method can solve the problems of poor precision, low efficiency and limited application range of a traditional power function calculation method.

An example device for coding a point cloud includes a memory configured to store the point cloud, and one or more processors communicatively coupled with the memory. The one or more processors are configured to determine a value of a numerator syntax element, the value of the numerator syntax element indicating a numerator of a scaling factor for the point cloud. The one or more processors are configured to determine a value of a denominator syntax element, the value of the denominator syntax element indicating a denominator of the scaling factor for the point cloud. The one or more processors are configured to process the point cloud based at least in part on the scaling factor for the point cloud.

The invention discloses an AGC control parameter optimization method, device and equipment based on a frequency stability domain and a storage medium, and belongs to the technical field of electric power systems.The method comprises the steps that a frequency dynamic analysis model with system disturbance as input and regional frequency deviation as output is built based on topological data and dynamic characteristic data of an asynchronous interconnection dual-region system; a transfer function in the frequency dynamic analysis model is converted into a fraction form, a denominator is a system common closed loop characteristic polynomial, and the system common closed loop characteristic polynomial comprises an undetermined AGC integral coefficient combination; determining a parameter value range of an AGC integral coefficient combination according to the dynamic characteristic data and a preset operation constraint parameter; screening a plurality of groups of alternative AGC integral coefficient combinations in a frequency stability domain in a parameter value range; and by taking the shortest AGC recovery time as an optimization target, determining an optimal AGC integral coefficient combination, and generating AGC control parameters. According to the invention, the problem of low stability of system AGC control in the prior art can be solved.

The invention belongs to the technical field of engineering structure detection data analysis, and discloses a modal shape identification method and device considering real modal constraint. An exciting force signal and an acceleration response signal of the structure are collected, and an actual measurement frequency response function is calculated. And taking a rational fraction polynomial form of the frequency response function as a fitting objective function to obtain a denominator polynomial undetermined coefficient. Based thereon, system poles appearing in conjugate pairs are identified. And taking a partial expansion fraction form of the frequency response function as a fitting objective function, and carrying out least square fitting again. Establishing penalty functions for respectively calculating a real part and an imaginary part of the frequency response function, and obtaining a frequency response function residue of which the result is a pure real number. And finally, extracting a real modal shape from the residue. According to the modal parameter identification method, the real modal constraint is added in the modal parameter identification process, it is guaranteed that the modal shape identification result is a pure real number and is an optimal solution under the real modal assumption, the identification result error caused by extraction of the real modal from the complex modal is avoided, and the modal parameter identification precision is improved.

The invention discloses a high-precision fractional memory polynomial digital predistortion method and device, and the method comprises the steps: carrying out the synchronous sampling of an input signal of a predistorter and an output signal of a power amplifier, and obtaining a sampling sequence; substituting the sampling sequence into a pre-constructed fractional memory polynomial power amplifier expression, deriving a fractional memory polynomial power amplifier coefficient by adopting a least square theory, and solving by adopting characteristic decomposition; the fractional memory polynomial power amplification coefficient is subjected to predistortion compensation through an adaptive learning device; according to the fractional memory polynomial power amplifier model provided by the invention, the characteristics of a linear region and a saturation region of the power amplifier are fitted at the same time, and a good linearization effect on the power amplifier is achieved; the fractional memory polynomial power amplifier model can directly solve a numerator and denominator combination coefficient by using a characteristic decomposition theory, and can update a fractional polynomial power amplifier coefficient in real time on orbit.

The application relates to the technical field of video recognition and analysis, and discloses a video recognition and analysis method based on shape features. Video frame pixels are mapped to a two-dimensional coordinate system with the upper left corner as the origin, a gray image is mirror-extended and subjected to median filtering; a binary image is constructed based on a gray threshold value, and a target region is extracted through four-neighborhood connected domain analysis; a neighborhood search and polar angle sorting closed tracking contour is adopted, equal-distance resampling points are generated based on Euclidean distance and an interpolation method; a three-point difference algorithm is used to estimate the curvature of the resampling points, and a numerical protection is adopted to avoid zero denominator; a discrete Fourier transform is performed on the curvature sequence to extract the frequency spectrum, and then the normalized amplitude is used to form a standardized feature vector; finally, interframe similarity is calculated based on the feature vector, and the most similar frame is automatically searched. Through phased processing, unified data standards, edge noise suppression, uniform sampling, feature stability improvement and cross-frame comparability are ensured.

The invention relates to the technical field of coatings, in particular to an aluminum-plated plate stamping die coating process quality detection method, which comprises the following steps: arranging an ultrasonic transducer on a measuring side surface in a coupling manner, and collecting echo signals containing adjacent back wall echoes by adopting pulse echoes, multiple collection results at the same detection position are aggregated to obtain a target echo signal; performing band-pass band limiting and noise suppression on the target echo signal to obtain a filtering echo signal, and determining an echo event time window according to the envelope of the filtering echo signal; intercepting a first back wall echo and a second back wall echo which arrive in sequence in the time window, and adding a boundary smooth window; respectively performing frequency domain transformation to obtain a first echo frequency spectrum and a second echo frequency spectrum; performing regularization deconvolution based on adjacent back wall echoes, performing conjugate multiplication on the second echo spectrum and the first echo spectrum to obtain a cross-correlation spectrum, adding the amplitude square of the first echo spectrum and a regularization term to obtain a stabilizing denominator, and dividing the stabilizing denominator by the stabilizing denominator to obtain a medium transfer function spectrum; performing inverse transformation and normalization to obtain a reflectivity function, and inputting the reflectivity function into a convolutional neural network to output a smooth pulse sequence; positioning two interface reflection peaks in the smooth pulse sequence and performing interpolation fitting to obtain sub-sampling positioning, calculating a peak interval as coating back-and-forth propagation time and converting thickness, and comparing with a process quality criterion to output a conclusion. The method can be used for stably acquiring key quality information such as the thickness of the coating on the premise that the coating is not damaged.

This invention discloses a range super-resolution method for large dynamic range targets based on a Transformer-U-Net fusion network. It addresses the inherent limitations of existing technologies in handling long-range dependencies and global context modeling, making it difficult to meet the global information integration requirements of high-precision one-dimensional spectral estimation tasks. This method achieves range super-resolution for one-dimensional range images of large dynamic range targets. The method includes: separating the original complex echo signal into real and imaginary parts and concatenating them, while simultaneously performing digital beamforming to obtain initialization data; combining the concatenated data with the initialization data and inputting it into a pre-trained neural network model, which includes upper and lower layers that output first and second complex results, respectively; finally, multiplying the two results element-wise to obtain the one-dimensional range super-resolution result, where the upper layer simulates the numerator of the IAA algorithm, and the lower layer simulates its denominator.

The invention belongs to the technical field of passive damping, and discloses a passive damping optimization method, system, equipment and medium for power electronic equipment, and the method comprises the steps: obtaining a passive damping circuit parameter, calculating a grid-connected impedance parameter, generating a modulation network equation, and carrying out the impact analysis of a grid-connected resonance peak; performing denominator materialization on the modulation network equation, solving based on an amplitude-frequency expression to obtain a resonance peak value, and performing power loss comprehensive evaluation; and according to a resonance suppression rule and a comprehensive evaluation result, constructing an optimization function considering resonance peak suppression and power frequency loss, and solving to obtain optimized passive damping branch parameters. According to the method, the influence mechanism of the additional damping on the grid-connected voltage can be clarified, the internal relation of the additional damping branch on the grid-connected current peak suppression and the grid-connected voltage peak suppression is disclosed, the resonance peak suppression effect under the large short-circuit ratio range can be comprehensively considered, and the application range of passive damping parameter design is widened.