32results about How to "Increase sampling frequency" patented technology

A system and method for speech signal enhancement upsamples a narrowband speech signal at a receiver to generate a wideband speech signal. The lower frequency range of the wideband speech signal is reproduced using the received narrowband speech signal. The received narrowband speech signal is analyzed to determine its formants and pitch information. The upper frequency range of the wideband speech signal is synthesized using information derived from the received narrowband speech signal.

The invention relates to an interactive image system, which comprises a host machine of a memory device which is provided with a first wireless module and is used to store and get software, at least one reference point of light which is used to generate preset optical spectrum and an interactive device, wherein the interactive device comprises a second wireless module, an image module, a modulation module and a processing unit, wherein the image module obtains the image of the reference point through a sampling frequency and forms a first image and a second image, and motion vector of the reference point between the first image and the second image is calculated out and output, a processor controls the second wireless module and transmits the motion vector to the first wireless module, and controls the modulation module to modulate the sampling frequency of the image module in real time. The invention further provides an interactive device and an operating method thereof.

The embodiment of the invention discloses a method and a device for carrying out multi-event statistics on a performance monitoring unit. The method and the device are used for dynamically and accurately regulating even switching efficiency and improving accuracy of performance statistics on the premise of not modifying clock frequency of a system. The method disclosed by the embodiment of the invention comprises the following steps: after triggering a first register and a second register in a PMU (Power Management Unit) to carry out counting, monitoring whether the first register overflows; when determining that the first register overflows, initiating PMI interruption; in the PMI interruption, storing counting duration of each register on each performance events and a number of the performance events counted by each register, switching second performance events recorded by the second register, resetting the numbers of the performance events counted by the first register and the second register, retriggering the first register and the second register to count and finishing the PMI interruption; finally, carrying out statistics on the stored counting duration and number of each performance events every time to obtain a statistics result.

A physical quantity detection circuit (12) is used for a physical quantity sensor (10) that outputs a sensor signal according to a physical quantity given externally. A sampling phase adjustment circuit (100) adjusts the phase of a sampling clock (CKa). An analog-to-digital converter circuit (104) converts the sensor signal (Ssnc) to a digital sensor signal (Dsnc) in synchronization with the sampling clock (CKsp) phase-adjusted by the sampling phase adjustment circuit. A detection circuit (107) detects the physical quantity based on the digital sensor signal (Dsnc) from the analog-to-digital converter circuit.

The invention discloses a method for measuring automatic-adjustment casual inspection frequency according to integrated circuit process capability indexes. The method is characterized in that a process capability index calculation module is embedded behind each different-process module of a production execution system and connected with a server for controlling product measurement, process measurement data are acquired by the calculation module according to the set time period to calculate the process capability indexes, obtained operation results are transmitted to the server, and the casual inspection frequency of subsequent products is automatically adjusted by the server according to the defined casual inspection frequency of the products corresponding to different process capability indexes and fed back to the production execution system; when the process capability indexes decline, the casual inspection frequency of measurement can be automatically increased; when the process capability indexes return to reasonable standards, the casual inspection frequency of measurement can be automatically lowered, so that measurement resources are efficiently distributed to the most needed process, the cost can be considered in the maximum limit and production risks can be effectively controlled.

The invention is suitable for the technical field of artificial intelligence, and provides an aquatic product quantity statistics method, terminal equipment and a storage medium, and the method comprises the steps: obtaining a target image of an aquatic product, wherein the aquatic product in the target image is in a stable state; recognizing aquatic product individuals in the target image according to a preset machine learning model; and counting the number of the identified aquatic product individuals. According to the aquatic product quantity statistics method, the terminal equipment and the storage medium provided by the embodiment of the invention, the target image is acquired through machine vision, and the aquatic product individuals in the target image are identified and counted byutilizing the machine learning model, so that automatic aquatic product quantity statistics is achieved; images can be automatically collected around the clock, the number of aquatic product individuals can be automatically counted, and basic data are provided for subsequent observation and analysis of the growth speed, health conditions, feeding conditions and behavior habits of aquatic products.

The invention relates to an online sampling device for an oil pipeline. A section of process pipeline is arranged on a main pipeline, an inlet end of the process pipeline is connected with a sampling probe, an outlet end of the process pipeline is connected with a nozzle, and the sampling probe and the nozzle are all connected to the main pipeline; a sampling loop pipeline is in bypass connection with the process pipeline behind sampling pumps, representative samples are taken from the sampling loop pipeline, and residual liquids finally converge to the main pipeline. By means of the online sampling device, reliable operation, real-time continuous sampling, accurate sample quantity and precise loop flow control can be realized, and the requirements for representative samples, automatic sampling process and precise system control are met finally.

A signal generating apparatus includes: a data generator which generates a data series in which first, second, third and fourth data are arranged at a sampling period; a first signal generator which generates a first pulse-width modulation signal in which a pulse is arranged in a pulse period longer than the sampling period, time points of front and rear edges of the pulse being set in response to the first and second data; and a second signal generator which generates a second pulse-width modulation signal in which a pulse is arranged between the adjacent pulses of the first pulse-width modulation signal, time points of front and rear edges of the pulse of the second pulse-width modulation signal been set in response to the third and fourth data, respectively.

The invention discloses a network abnormal traffic detection method and system and a storable medium, and relates to the technical field of computer network security. Obtaining to-be-detected network flow data, and dividing the to-be-detected network flow data into a training sample and a test sample; inputting the training sample into a multi-target deep reinforcement learning model to train a plurality of Actor-Critic network models; updating parameters of the Actor network and the Critic network by adopting a strategy gradient and a loss function respectively, and storing an updating model; and testing a network traffic test sample through the model, and outputting an abnormal traffic detection result. The method does not depend on a high-performance GPU (Graphics Processing Unit), can quickly train and predict on the CPU, and can remarkably reduce computer resources. In addition, the multi-target deep reinforcement learning model constructed by the invention not only has better convergence, but also can more effectively learn in a high-dimensional and continuous action space, thereby improving the network abnormal traffic detection efficiency and accuracy.

The invention discloses an interactive pointing device. The interactive pointing device comprises an image capturing component and a processing unit, wherein the image capturing component can be operated in a first capturing range and a second capturing range, and the image capturing component is used for capturing a light source and outputting a video signal. When a distance between the interactive pointing device and the light source is less than a reference value, the processing unit controls the image capturing component to detect the light source in the first capturing range, and converts the video signal into a first coordinate data; and when the distance is greater than the reference value, the processing unit controls the image capturing component to detect the light source in the second capturing range, and converts the video signal into a second coordinate data. Meanwhile, the invention also discloses a capturing range switching method.

The invention relates to the technical field of environment improvement, in particular to a non-shipborne portable throwing type accurate sample collection device which can collect sediment samples orwater samples. The device comprises a high-stability pneumatic accurate throwing device, a sampling device recycling device and a water body sample synchronous collecting device, and the device further comprises a sediment automatic grabbing device when collecting the sediment samples, and further comprises a water body sample synchronous collecting device when collecting the water samples. The device belongs to the non-shipborne portable throwing type accurate sediment or water body sample collection device which can be applied to various specific water areas and can realize accurate point distribution, and the device is convenient to operate and accurate in positioning, is mainly applied to collection of sediment or bottom mud and water body samples in various water areas, and is particularly suitable for collecting the samples in shallow water areas such as rivers, lakes, offshore areas and shoals and areas where workers cannot reach due to deep sludge in the water areas or other risks.

The invention relates to a pole piece processing device and a lamination machine. The pole piece processing device comprises a pole piece bearing part, a positioning mechanism, a deviation rectifying mechanism, a translation mechanism and a detection mechanism; the positioning mechanism is configured to position the pole piece borne on the pole piece bearing part; the deviation rectifying mechanism is configured to drive the pole piece bearing part to move according to the positioning information of the positioning mechanism; the translation mechanism is configured to drive the pole piece bearing part to pass through the detection mechanism; and the detection mechanism is configured to continuously detect the pole pieces passing through the pole piece bearing part, and the pole pieces after detection are sent to the next process for lamination. The pole piece processing device can automatically complete detection of the pole piece, and the detection efficiency is improved. According to the lamination machine, the edge of the cut pole piece is automatically detected by configuring the pole piece processing device, so that the sampling inspection frequency of the pole piece can be improved, and the number of battery cells between two times of sampling inspection is reduced; and after the pole piece is detected to have problems, the number of reworked battery cells is relatively low, and the production efficiency of the battery cells can be improved.

The invention provides an automatic sampling device for powdery or granular materials. The automatic sampling device comprises a material conveying pipeline, a sampling system and a motor, wherein thesampling system is connected with the material conveying pipeline at a fixed angle, and the motor is connected with the sampling system. According to the invention, rapid high-frequency sampling of materials can be realized, and the problems of low sampling efficiency and no representativeness of sampling monitoring data of previous manual sampling or other sampling equipment are solved. The labor cost is reduced, the product quality is improved, and the enterprise competitiveness is improved. The sampling system is driven by the motor, compared with the prior art, the sampling device has theadvantages that the sampling frequency can be greatly improved, higher-frequency sampling can be achieved through electrical control, sampling is more representative, and a whole set of rapid and automatic detection can be achieved in cooperation with other automatic monitoring equipment. Real product quality process management and control are realized, and actual benefits are brought to enterprises.

A musical sound generating apparatus creates a waveform to generate a musical sound according to performance information. In the apparatus, a first waveform generator is operable for creating a waveform. A second waveform generator is operable independently from the first waveform generator for creating a waveform. An input device provides performance information. A designating device designates at least one of the first waveform generator and the second waveform generator in correspondence with the provided performance information. A controller selectively operates the designated one of the first waveform generator and the second waveform generator according to the provided performance information. An output device generates the musical sound based on the created waveform.

The invention relates to a method for improving mass detection of chemical components of a crude tobacco package in tobacco leaf tobacco industries, and in particularly relates to a method for improving the detection efficiency and representativeness of the chemical components of the crude tobacco package. The method includes the following steps: sampling multiple points of tobacco leaves in a to-be-tested crude tobacco package for four or more than times, and mixing the tobacco leaves obtained by the four or more than times of sampling for detecting; spreading flatly the obtained tobacco leaves on a detection conveyor belt, starting the detection conveyor belt, conveying the tobacco leaves by the detection conveyor belt to pass through a light spot irradiation detection area of an on-line near infrared spectroscopy, processing obtained near infrared spectrum of each chemical component by detecting measuring software for detecting, and after the processing by the detecting measuring software, outputting detection numerical values of all the chemical components, and recording the numerical values of all the chemical components; performing numerical optimization on the numerical values obtained by the on-line near infrared spectroscopy to obtain the chemical component values of the whole crude tobacco package. The fast detection function of the chemical components of the crude tobacco hemp package can be realized, and the method has the advantage of high efficiency, complete detection and representative detection values.