8 results about "Peak detection algorithm" patented technology

The present application relates to a kind of lightning intensity prediction method and system based on deep time sequence learning, belong to lightning early warning technical field, solve the problem of insufficient fine prediction ability of lightning intensity in prior art, peak time positioning is not accurate.The method comprises: obtaining current atmospheric electric field intensity data, using peak detection algorithm, determine the current peak position;According to the current atmospheric electric field intensity data, determine the current intensity time sequence data;Current peak position, and current intensity time sequence data, input lightning intensity prediction model, determine the first predicted peak position and the first predicted intensity peak;Wherein, lightning intensity prediction model includes time feature fusion layer, encoder layer and double-head output layer.The accurate timing and quantitative prediction of sparse, sudden lightning intensity peak are realized.

The present application relates to the field of virtual reality, in particular to a lung rehabilitation nursing psychological counseling method and system based on virtual reality. The method collects the chest and abdominal girth change signal of the patient, calculates the respiratory flow rate curve through band pass filtering and peak detection algorithm, identifies the inspiration starting point, expiration starting point and breath holding starting point on the respiratory flow rate curve as the respiratory phase turning point. The digital phase-locked loop mechanism is introduced, the respiratory phase turning point is taken as the reference clock signal, the actual presentation time of the virtual visual and auditory stimulation is taken as the output signal of the voltage-controlled oscillator, the rendering pipeline delay of the visual and auditory generation component is adjusted through closed-loop feedback, so that the phase delay of the virtual visual and auditory stimulation is constantly within the preset neuromuscular response threshold. The present application eliminates the phase lag and drift phenomenon between the audio-visual guide signal and the real breathing action of the patient, and enhances the neural drive synchronization of the diaphragm and auxiliary respiratory muscles under the rhythmic audio-visual stimulation.

Systems / techniques are provided for facilitating post-detection chromatographic peak validation. In various embodiments, a system can cause a chromatography device coupled to a mass spectrometer to scan a specimen, thereby yielding a chromatogram and mass spectra. In various aspects, the system can identify, via a peak detection algorithm, a plurality of purported peaks in the chromatogram. In various instances, the system can separate, via execution of a machine learning classifier on respective ones of the plurality of purported peaks, the plurality of purported peaks into a set of valid peaks and a set of invalid peaks. In various cases, the system can perform a mass spectrometry analysis on first portions of the mass spectra that correspond to the set of valid peaks but not on second portions of the mass spectra that correspond to the set of invalid peaks.

The present application relates to a Laos language unsupervised phoneme segmentation method based on multi-feature interaction fusion, and belongs to the technical field of natural language processing. The present application comprises the following steps: collecting and processing Laos language audio data sets; extracting self-supervised features, spectral features and pitch features; fusing the self-supervised features, spectral features and pitch features to train a phoneme segmentation model; based on the principle of probability contrast loss, distinguishing adjacent frames and random interference frames to realize optimization of the phoneme segmentation model; in the inference stage, inputting the phoneme segmentation model output vector into a peak detection algorithm to generate the final phoneme boundary. The present application can better interact and fuse the advantages of different features, overcome the limitations of the direct addition method, and thus achieve better results in overall performance.

This invention discloses a method and system for quantitative identification of T / C lines on test strips based on QR codes. First, the image is preprocessed to achieve high QR code recognition rate under complex lighting and shooting angles. Then, the test strip is externally corrected using the QR code, and the approximate location of each color area is estimated based on the relative position of the QR code and the color development area. Next, the approximate location of the color area is further precisely estimated using the connected component method, and the image is cropped into sub-images. These sub-images are then subjected to horizontal and vertical grayscale projection, and peak detection algorithms are used to locate the boundaries of the color development areas and the positions of the C and T lines. Finally, the grayscale ratio of the T and C lines is calculated based on their average grayscale values. Furthermore, the C and T lines are drawn onto rectangular sub-images, and the sub-images are reverse-corrected and pasted back onto the original image. This image and the T / C line ratio are output to a mobile terminal, facilitating verification by mobile terminal users and improving the reliability of the results.

The application discloses a reconstruction method, in particular to a ground digital television multimedia broadcast reference signal high-quality reconstruction method, which comprises the following steps: step 1, high-precision synchronization and parameter tracking; step 2, robust channel estimation and equalization; step 3, soft information demapping and iterative decoding; step 4, bit stream re-modulation. The two-stage synchronization mechanism combining coarse synchronization and fine synchronization, combined with the improved windowing peak detection algorithm and dynamic threshold, can effectively resist noise and multipath interference, and significantly reduce the false alarm and missed detection probability. The joint tracking loop continuously compensates the carrier frequency deviation and the sampling clock deviation, effectively suppresses the phase noise and the inter-subcarrier interference, and ensures stable timing and carrier synchronization under high-speed movement and severe channel conditions.

The application discloses a four-dimensional metabolomics data processing method. The method comprises the following steps: acquiring M secondary mass spectrum diagrams of each sample in N samples; acquiring a target precursor ion from a precursor ion data frame corresponding to a precursor ion data frame index in the secondary mass spectrum diagram; determining an ion drift outflow peak and a chromatographic outflow peak of the secondary mass spectrum diagram according to a plurality of primary mass spectrum data points of the target precursor ion in a target ion data frame; and generating four-dimensional information of a four-dimensional peak of each secondary mass spectrum diagram according to a mass-to-charge ratio of the primary mass spectrum data point, an ion drift value of an ion drift peak vertex in the ion drift outflow peak, a chromatographic retention time of a chromatographic peak vertex in the chromatographic outflow peak, and an ion signal intensity in a chromatographic retention integral range in the chromatographic outflow peak. Therefore, the sensitivity of the four-dimensional peak detection algorithm can be improved, substances separated by LC-IM-MS can be fully converted into signals in subsequent metabolite qualitative and quantitative analysis, and the coverage of four-dimensional metabolomics identification is improved.