11results about How to "Reduce discontinuity" patented technology

This invention provides a method and system for reconstructing the full-band electrochemical impedance spectroscopy (EIS) of lithium-ion batteries. The method includes: performing distributed relaxation time (DRT) analysis on each group of battery EIS samples to obtain DRT spectra; aligning the DRT spectra on the logarithmic time constant axis and performing ensemble statistics, selecting peaks and / or valleys that stably appear under multiple operating conditions based on statistical stability, and mapping them to obtain a set of conditionally invariant characteristic frequencies; selecting characteristic frequency points that satisfy the sampling budget from the set of conditionally invariant characteristic frequencies, and performing sparse EIS measurements on the target battery at these characteristic frequency points to obtain sparse complex impedance inputs; generating a full-band complex impedance sequence based on the sparse complex impedance inputs using an autoregressive reconstruction model; and performing battery state estimation and fault diagnosis based on the full-band complex impedance sequence. This invention significantly improves the continuity of the spectral shape and the generalization ability across operating conditions under sparse sampling conditions, while reducing the full-spectrum testing time and sampling burden.

The application provides a spatial target attitude estimation method based on complex domain convolution, and belongs to the technical field of signal processing. The method constructs a multi-scale complex feature pyramid, which includes four feature extraction stages deepening gradually, and each stage is stacked by CRB; the first stage is further embedded with complex spatial attention CSA, and the real part and the imaginary part features are reweighted in the spatial dimension in two channels; the second stage is further embedded with complex channel attention CCA, and the real part and the imaginary part features are reweighted in the channel dimension in two channels. Then, the real part and the imaginary part features are subjected to complex domain adaptive average pooling and feature splicing to form a fusion feature vector containing complete complex information; and an attitude estimation output head estimates three-dimensional attitude angles based on the fusion feature vector. Using the application can solve the technical problems of large estimation error caused by phase information loss and insufficient model generalization ability in traditional ISAR image attitude estimation.

A light emitting module for a vehicle includes a light source configured to generate light during its operation, a condensing lens located at a front side of the light source in a direction in which light generated by the light source propagates, and configured to change a propagation direction of the input light, and a multi-faceted lens located at a front side of the condensing lens in the direction in which the light generated by the light source propagates, and including a back surface through which the light passing through the condensing lens is input, and a plurality of portions whose front surfaces have different protrusion heights.

Intraocular lenses for reducing Negative dysphotopsia (ND) are described herein. An example ophthalmic lens can include an optic with a central optical zone disposed about the optical axis and an attenuation optical zone disposed about the central optical zone, wherein the attenuation optical zone is contiguous with the central optical zone, and wherein optical power of the ophthalmic lens is gradually reduced within the attenuation optical zone.

The invention provides a continuous blood glucose monitoring signal denoising method based on a two-factor layered adaptive wavelet threshold. The method comprises the following steps: firstly, performing discrete wavelet decomposition on an original noisy blood glucose signal; then, on the basis of noise characteristics of each scale, independently designing a threshold value for each layer of decomposition by adopting a hierarchical adaptive strategy; further, a novel two-factor nonlinear threshold function is introduced to perform contraction processing on the wavelet coefficient, a smooth transition factor controls function continuity near a threshold boundary to suppress a reconstruction ringing effect, and an amplitude retention factor adjusts the attenuation degree of a large-scale wavelet coefficient to retain key physiological features such as rapid change of blood glucose; and finally, reconstructing the de-noised signal through wavelet inverse transformation. According to the method, measurement noise and baseline drift are effectively suppressed, meanwhile, the fidelity capability of dynamic characteristics such as a blood glucose trend turning point is remarkably improved, and the inherent contradiction between excessive smoothness and noise residue in a traditional wavelet threshold method is relieved.

An audio signal processing device comprises a discontinuity detector configured to determine an occurrence of a discontinuity from a sudden increase of an amplitude of decoded audio obtained by decoding the first audio packet which is received correctly after an occurrence of a packet loss, and a discontinuity corrector for correcting the discontinuity of the decoded audio.

The application discloses a kind of based on semantic communication's thing networking data compression transmission method, it is related to data compression technical field, the method includes: step S1: obtaining original data block, record mutation mark in mutation data block;Step S2: construct semantic encoding model to output semantic feature vector and semantic code stream, reconstruct by decoding to obtain reconstructed data block;Step S3: calculate the residual amount of data block, calculate the quantization step of residual compensation code stream, to the cloud to obtain reconstructed data block;Step S4: using residual compensation amount and reconstructed data block obtains modified reconstruction block, completes data compression correction by splicing.The present application calculates residual compensation code stream to mutation data block, and adaptively adjusts feature dimension and quantization step, reconstructs data block according to time sequence splicing, avoids the distortion caused by traditional frequency domain truncation, has the advantages of guaranteeing thing networking terminal sequence reconstruction accuracy and the beneficial effects of significantly improving the correction accuracy of peak region.

The invention relates to the technical field of radar detection, in particular to a visibility fusion inversion method based on a cloud radar and a laser radar, and the method comprises the steps: obtaining the equivalent reflectivity factor of the cloud radar, the backscattering echo power of the laser radar and the temperature and humidity data of a ground meteorological station, carrying out the space-time matching of multi-source data, defining the boundary of a near-field common-view area, and carrying out the calculation of the near-field common-view area. Carrying out inversion to obtain a laser radar extinction coefficient in the near-field common-view area; based on the laser radar extinction coefficient in the near-field common-view area and the cloud radar equivalent reflectivity factor in the near-field common-view area, combining the temperature and humidity data to solve a dual-band atmospheric droplet spectrum equivalent constraint factor; reconstructing to obtain a full-scale liquid water content profile based on the dual-band atmospheric droplet spectrum equivalent constraint factor and a full-scale cloud radar equivalent reflectivity factor; and based on the full-scale liquid water content profile, reversely reconstructing a full-scale equivalent extinction coefficient, and carrying out inversion to obtain a full-scale visibility profile.

This invention discloses an adaptive transmission method for trunked intercom based on wireless local area networks (WLANs), comprising the following steps: collecting link-state and service-state indicators to form a state vector; calculating the carrying window and delay budget using sliding window statistics and exponential weighting, generating a resource profile including congestion and risk levels; layering voice frames and labeling key frames with the latest delivery timestamp; selecting representative terminals for group clustering based on access point identifier, channel, and link quality; and generating transmission parameters by calling an improved BBRv3 under resource profile constraints in the unicast pipeline; prioritizing the transmission of key frame copies, aggregating completion summaries, determining majority completion, and retransmitting missing key frames with targeted compensation and updating completion; switching the distribution mode and performing gray-scale rollback when delay exceeds limits, busy-occupancy surges, or roaming occurs; recording indicator and parameter versions, establishing a template library through scenario fingerprint matching, and storing versioned data. This invention improves the reliability of key voice delivery and reduces the risk of delay jitter and packet loss under congestion and roaming conditions.

The application discloses a composite material fracture energy calculation method considering reinforcement-matrix interface dispersion, and comprises the following steps: S1, a matrix crack fracture energy model is established; S2, a reinforcement-matrix interface fracture energy model is established; S3, a composite material fracture control equation model is established; S4, a composite material critical energy release rate is modified; S5, the interface phase field, the displacement field and the crack phase field in the composite material fracture control equation are discretized by using the finite element method, and an incremental iteration is carried out, so that the crack propagation in the composite material considering the interface dispersion is calculated. Through the adoption of the phase field model, the advantages of realizing the micro-to-macro multi-scale simulation are utilized, the properties of the interface in the composite material are associated with the properties of the matrix, that is, the interface crack propagation and other fracture properties of the composite material under the action of the load are dispersed to the surrounding matrix in the form of a continuous exponential function, and a mechanical model for more accurately predicting the mechanical behavior and fracture evolution of the composite material is established.

The application discloses a processing method of precipitation data applied to a flood disaster model in the technical field of data processing and a related device. In the method, original precipitation data is acquired; data integration is performed on the original precipitation data to obtain matrix data including spatial dimensions and time dimensions; data cleaning is performed on the matrix data to obtain to-be-converted precipitation data; and the to-be-converted precipitation data is converted into precipitation data conforming to a normal distribution. The precipitation data conforming to the normal distribution is used for being processed by the flood disaster model. The data quality of the precipitation data obtained after the processing is higher. The precipitation data conforming to the normal distribution can reduce the non-continuity of the rainfall data and the adverse influence of rainless days on the simulation of the flood disaster model, facilitate the analysis and processing of the precipitation data by the flood disaster model, and thus more accurate simulation results of the flood disaster model are obtained, and the simulation accuracy of the flood disaster is improved.