11 results about "Nonlinear smoothing" patented technology

The application discloses a point cloud rendering method and system, and relates to the technical field of computer graphics, and comprises the following steps: acquiring point cloud data of a detected object; S2, dynamically dividing a three-dimensional space into multiple rendering levels based on the real-time distance from the acquired point cloud data to a current observation point; based on each rendering level, respectively establishing a nonlinear smooth continuous function mapping relationship between rendering sampling probability and the observation distance of a rendering point radius, and respectively inputting a preset representative observation distance at each layer to obtain the rendering parameters of each layer; and applying the corresponding rendering parameters of the point cloud of different rendering levels to perform differentiated rendering operations. Advantageous effects: the hierarchical mechanism provides a structured framework for subsequent nonlinear parameter mapping, so that the adjustment of the rendering parameters can be based on an ordered spatial division closely related to visual perception, which is a prerequisite for the intellectualization of the whole method.

This invention relates to the field of satellite navigation and positioning and multi-source information fusion technology, specifically a low-cost, high-precision GNSS navigation method for complex urban environments. The method constructs a dual-channel adaptive weighting model based on scene classification results. Pseudorange observations are weighted using a nonlinear smooth reduction based on the Sigmoid function, while carrier phase observations are weighted using a two-way reward / penalty system based on signal-to-noise ratio and environment type. This invention achieves a smooth transition of pseudorange weights through the Sigmoid nonlinear function, avoiding filter divergence caused by hard cutoff. A unique open-field carrier reward mechanism improves positioning accuracy in ideal environments. Furthermore, without increasing hardware costs, only algorithm upgrades can significantly improve the navigation performance of low-cost chips in complex urban environments, demonstrating high engineering application value.

The application provides a kind of based on optimal solution Seismic Fault Feature Enhancement Identification Method and system, it is related to Seismic Fault Feature Identification technical field.The method includes obtaining Seismic Fault Image Data, feature seed point is picked up, and forms Seismic Fault Attribute Image;Seismic Fault Attribute Image is carried out nonlinear smoothing processing, and forms preprocessed fault image;Each feature seed point in preprocessed fault image is carried out dynamic programming, and the corresponding optimal surface path is determined;Different optimal surface paths are smoothed, and optimal selection score is determined;Optimal selection score graph is constructed according to optimal selection score;According to optimal selection score graph, fault feature information is extracted.The method enhances Seismic Fault Attribute Image, suppresses noise features irrelevant to fault, and at the same time makes fault features more clear and continuous, so as to improve the accuracy and efficiency of fault interpretation.

The invention discloses a gesture smoothing method, wearable equipment and a readable storage medium, and relates to the technical field of computer vision, the method comprises the following steps: receiving to-be-smoothed hand skeleton point data, and evaluating a current hand motion state according to the hand skeleton point data; if the motion state indicates that the hand slowly moves, selecting a preset linear smoothing algorithm as a target smoothing algorithm; if the motion state indicates that the hand rapidly moves, selecting a preset nonlinear smoothing algorithm as a target smoothing algorithm; and performing smoothing processing on the hand skeleton point data through a target smoothing algorithm to obtain smooth hand skeleton data so as to complete gesture smoothing processing. According to the invention, the robustness of the gesture smoothing effect is improved.

The present application belongs to the field of automatic control technology of power system, and particularly relates to a method and system for automatic regulation and control of power grid frequency disturbance fast response participated by a low-rotational-inertia energy storage system.S1, real-time frequency and system reference capacity data are collected, frequency deviation and frequency change rate are calculated, energy storage system energy storage state of charge and power ramp rate data are collected;S2, disturbance working conditions are determined, disturbance intensity coefficient is dynamically set, disturbance correction coefficient is preset, virtual inertia coefficient and frequency droop control coefficient are calculated;S3, frequency deviation-frequency change rate coupling coefficient is dynamically set, basic frequency modulation power is calculated, nonlinear smoothing correction coefficient is determined, final frequency modulation power is calculated;S4, according to the power ramp rate data, power quantization distribution of the hybrid energy storage system is carried out, whether to start or exit frequency modulation is determined, frequency modulation is carried out according to the final frequency modulation power, and frequency modulation is smoothly exited after frequency stabilization.The present application realizes fast automatic response and accurate frequency modulation of power grid frequency disturbance based on a hybrid energy storage system.

Additional in-loop filtering can be using Gausian smoothing, anisotropic nonlinear smoothing, and / or enhancement. Two ideas are proposed. As an additional input to CC-ALF use filtered Chroma reconstruction Chroma buffers as an additional input to CC-ALF. New additional filter coefficients are trained by encoder and are signaled to the bit stream. From the decoder side signaled coefficients are read and CC-ALF applied; or As an additional input to Chroma ALF use filtered Chroma reconstruction Chroma buffers as an additional input to Chroma ALF. New additional filter coefficients are trained by encoder and are signaled to the bit stream. From the decoder side signaled coefficients are read and Chroma ALF applied.

The application discloses a snore detection and pressure control method and device in the technical field of respiratory medical equipment and a breathing machine. The method extracts snore disturbance by multiplexing a breathing flow rate detection link and performing band-pass filtering on a breathing flow rate signal, and introduces a double sliding time window to calculate a flow rate change trend feature, thereby effectively distinguishing snore from non-target interference at a feature level. Then, snore indexes of an inspiration phase and an expiration phase are calculated and integrated to obtain a total snore index. Further, a nonlinear smooth mapping relationship between the index and an output pressure adjustment amplitude is established through a Gaussian function, and adaptive closed-loop automatic pressure control is realized. The scheme solves the problems of insufficient detection stability, complexity of implementation and disconnection with pressure control in the prior art, significantly improves the accuracy and anti-interference ability of snore detection without increasing hardware cost, and enables the detection result to directly and smoothly link output pressure regulation, thereby enhancing the intelligence and effectiveness of the breathing machine.

The invention relates to the technical field of desulfurization island bed pressure and material level control, and discloses a desulfurization island bed pressure and material level cooperative control method. In order to solve the problems of large bed pressure fluctuation, non-uniform material level, poor system stability and high operation energy consumption caused by dependence on manual operation in the prior art, flue gas air volume, bed pressure drop and ash hopper material level signals are collected in real time, an optimal bed pressure target value is calculated through a dynamic bed pressure setting model, a total regulating variable is generated through bed pressure main control, and the total regulating variable is calculated through a dynamic bed pressure control model. According to the control method, the adjusting quantity is intelligently distributed to each ash bucket valve in combination with a material level balanced distribution algorithm, automatic cooperative control of stable bed pressure and uniform material level is realized by adopting nonlinear smooth adjustment and a self-adaptive optimization technology, the system stability is remarkably improved, and meanwhile, the operation energy consumption is reduced by optimizing bed pressure setting.

The invention relates to the technical field of intelligent retrieval and knowledge service, and discloses an intelligent retrieval and reference material generation method and system for report compiling. The method comprises the following steps: receiving at least one original query keyword input in a report compiling scene, and generating a keyword set based on a subject analysis demand; vectorizing and aggregating the data into a comprehensive semantic vector representing the intention of the report; retrieving by taking the keyword set and the comprehensive semantic vector as a mixed query condition to obtain an initial material; on the basis of the requirement of the report on the credibility of the material, calculating a correlation score by using a rearrangement model, and obtaining a standardized material confidence score through normalization and nonlinear smooth mapping processing; and according to a scoring result, outputting a sorting list which can be used as the alternative reference materials of the report. According to the method, the problems of low efficiency of manual searching and reference material screening and difficulty in credibility verification in report compiling are solved, and the support efficiency and quality of an intelligent retrieval system based on big data in professional content generation are improved.

The application relates to a high-precision automatic gain control feedback adjustment method and system, which comprises the following steps: calculating a real-time power deviation value of an input signal; taking the power deviation value as an index to query a lookup table to obtain a coarse gain adjustment factor; using state monitoring logic to dynamically switch a filtering strategy according to the state of the deviation value to perform nonlinear smoothing processing on the coarse gain to output a fine gain adjustment factor; and using a multiplier to perform closed-loop gain compensation. The application replaces hardware division operation by table mapping, and uses three-state control logic including locking, rapid suppression and smooth recovery to reduce hardware resource consumption, consider noise suppression in a steady state and rapid response in a transient state, and realize high-precision gain locking.

The embodiment of the invention belongs to the technical field of laser plane processing, and relates to a signal noise reduction method and device, processing equipment and a storage medium, and the method comprises the steps: receiving a signal noise reduction instruction carrying original signal data; performing local linear regression fitting on the original signal data to obtain high-frequency change feature data; calculating residual data of each data point according to the high-frequency change characteristic data and the original signal data; calculating the interpolation bandwidth of each data point according to the residual data; performing interpolation on each data point of the original signal data according to the interpolation bandwidth to obtain interpolation signal data; and performing first nonlinear smoothing processing on the interpolation signal data according to a first bandwidth preset value to obtain noise reduction signal data. According to the invention, the problem of over-smoothing or under-smoothing of a traditional signal processing mechanism can be effectively solved.