248results about How to "Precise filter" patented technology

Successive pitch periods/frequencies are accurately determined in an audio equivalent signal. Using a suitable conventional pitch detection technique, an initial value of the pitch frequency/period is determined for so-called pitch detection segments of the audio equivalent signal. Based on the determined initial value, a refined value of the pitch frequency/period is determined. To this end, the signal is divided into a sequence of pitch refinement segments. Each pitch refinement segment is associated with at least one of the pitch detection segments. The pitch refinement segments are filtered to extract a frequency component with a frequency substantially corresponding to an initially determined pitch frequency of an associated pitch detection segment. The successive pitch periods/frequencies are determined in the filtered signal.

The invention pertains to a system comprising: a source to generate a pulsed radiation pattern; a detector; a processor to process data from the detector when radiation is reflected by an object; a synchronization means interfacing between the detector and the source; wherein: the detector is synchronized with the source so that radiation to be processed is detected only during the pulses, the processor determines a characteristic of the object by determining displacement of detected spots with reference to predetermined positions, the source emits monochromatic light and the detector is equipped with a bandpass filter and optics arranged so as to modify an angle of incidence onto said filter to confine light to a predetermined range around a normal of said filter, said optics comprising an image-space telecentric lens.

A method for filtering garbage information of Internet animation media based on contents in the fields of image processing and mode identification is disclosed, comprising the steps: 1, collecting at random a plurality of advertisement or non-advertisement animations from the Internet as training sample set, and extracting colour characteristics, texture characteristics, character information characteristics, animation length characteristics, animation geometric size characteristics and animation dynamic characteristics of all the animations; 2, inputting six characteristics of animations and type indexing into a support vector machine which obtains a model of the support vector machine describing the difference between advertisement and non-advertisement animation media; 3, according to the method for extracting the animation characteristics in the step 1, extracting six characteristics of animations to be tested and inputting into the model of the support vector machine so that the support vector machine is able to judge the animation belongs to either the advertisement animation or the non-advertisement animation. The invention can identify the advertisement animation or the non-advertisement animation as well as have high processing speed and identification accuracy.

The present invention provides a system and method for restricting access to data received by a computer over a network by filtering certain data from the data received. In a preferred embodiment, the present invention provides a computer based method for filtering objectionable or target text data from World Wide Web pages which are received by a computer system connected to the Internet. According to the method, if the web page requested by the user contains only a minimum of objectionable or target data, the user may receive a portion of the filtered web page for downloading and viewing on his or her computer. If the web page requested contains a large amount of objectionable or target data, the invention will cause a “forbidden” page to be displayed on the user's computer monitor.

The invention provides a microblog information filtering method based on multi-information fusion, which belongs to the technical field of intelligent information processing. The method comprises the following steps of step 1, building distributed crawling, and crawling microblog data; step 2, preprocessing the microblog data; step 3, carrying out Chinese word segmentation on the microblog data, deleting stop words, acquiring a word segmentation result, and obtaining a word set VOC; step 4, extracting characteristics from the perspective of microblog contents; step 5, extracting microblog characteristics from the perspective of the client; step 6, extracting characteristics from a transmission path; step 7, building a classification model, and screening non-junk microblogs. According to the microblog information filtering method based on multi-information fusion, the double processes of microblog information duplicate removal and a classification learning algorithm are combined to delete microblog junk information, so that the microblog information can be filtered, and not only is reduplicative microblog information filtered, but also junk microblog information can be filtered.

The invention discloses a digital substation process level data exchanging device. The core of the device is a configurable data exchanging module based on the FPGA. A simple and efficient data exchanging mode is achieved on the basis of IEC61850. The unique functions of SV message rated delaying automatic updating, GOOSE deflected message prior transmission, data storm rapid accurate restraint and the like are particularly achieved. The problems that the process level SV networking communication depends on GPS synchronization, the transmission and delay of the GOOSE are uncontrollable and even packet loss occurs under the mode that the SV and the GOOSE are combined in network, and the storm restraint time is over long are solved. The motion delay of tripping operation of the GOOSE is reduced. The digital substation process level data exchanging device is creative, practical and economical and capable of promoting the reform of a digital substation process level networking mode.

Multi-view autostereoscopic displays provide an immersive, glasses-free 3D viewing experience, but they preferably use correctly filtered content from multiple viewpoints. The filtered content, however, may not be easily obtained with current stereoscopic production pipelines. The proposed method and system takes a stereoscopic video as an input and converts it to multi-view and filtered video streams that may be used to drive multi-view autostereoscopic displays. The method combines a phase-based video magnification and an interperspective antialiasing into a single filtering process. The whole algorithm is simple and may be efficiently implemented on current GPUs to yield real-time performance. Furthermore, the ability to retarget disparity is naturally supported. The method is robust and works transparent materials, and specularities. The method provides superior results when compared to the state-of-the-art depth-based rendering methods. The method is showcased in the context of a real-time 3D videoconferencing system.

The invention discloses illegal website filtering method and device. The method comprises the following steps of: obtaining an IP address for establishing website connection, and loading all URL (Uniform Resource Locator) conforming to the IP address outside a memory of a fireproof wall into the memory when determining that the memory of the fireproof wall has the IP address and the UPL conforming to the IP address is not stored in the memory; when sending the URL request, judging whether the sent URL is matched with one of the URLs conforming to the IP address in the memory of the fireproof wall, if so, disconnecting the connection, or else, allowing the message to pass through the fireproof wall. The invention can solve the problem of loading an address base into the memory once due to overlarge capacity, and can also accurately filter illegal websites through the dual comparison of the IP address and the URL.

An other vehicle information providing device, can be configured to assign priority to a plurality of other vehicle information inputted to the own vehicle and provides other vehicle information having high priority. The other vehicle information providing device includes a priority memory means for storing priority information. An information switching index value calculation means which predicts future priority after a lapse of a predetermined period based on the stored priority information, which can include latest priority and priority previous to the latest priority, and calculates an information switching index value based on the latest priority, the priority previous to the latest priority, the priority before the priority previous to the latest priority and the future priority. An information providing means provides other vehicle information based on the information switching index value.

Seismic image filtering machines, systems, program products, and computer implemented methods are provided to generate a filtered seismic image responsive to filtered seismic image data generated by attenuating coherent seismic noise from surface waves of an unfiltered wavefield constructed from unfiltered seismic image data through a single downward extrapolation of the unfiltered wavefield using a plurality of nonstationary convolution operators to perform localized filtering at each of a plurality of spatial locations of the unfiltered wavefield. Various embodiments, for example, can beneficially handle strong lateral velocity variations thus making various embodiments effective tools to remove complicated coherent seismic noise which is typically in the form of exponentially decaying evanescent waves. Embodiments of the present invention, for example, can use, as a part of the filtering mechanism, specially designed nonstationary convolution operators that are implemented in the space-frequency domain as nonstationary filters.

The invention discloses a file analysis UDP protocol method, device and apparatus based on a pcap format and a readable storage medium. The method disclosed by the invention comprises the following steps: capturing a file in a pcap format from a network configured with a UDP protocol; calling a filter to filter the file to obtain a target file; splitting the target file into a file header and a plurality of data packets; extracting any data packet, and judging whether the data packet conforms to a UDP (User Datagram Protocol) or not by utilizing a libpcap library; and if so, analyzing the datapacket to obtain an analysis result, and visually displaying the analysis result, so that the user analyzes the UDP protocol according to the analysis result. The filter and the libpcap library are utilized to avoid the influence of other data on the analysis result, and the analysis result can be visually displayed, so that the analysis accuracy of the UDP protocol and the positioning accuracy of the UDP protocol fault are improved.

The invention discloses a method and device for filtering out abnormal GPS data. The method includes the following steps that: GPS data uploaded in a preset time interval are acquired; the average traveling speed of a distance between adjacent GPS data is calculated according to position information in the GPS data and uploading time; the quantile of the upper-side preset percentage of the probability distribution of the average traveling speed is obtained, and the quantile is adopted as an abnormal speed threshold value; and abnormal average traveling speed in the average traveling speed, which is greater than the abnormal speed threshold value, is obtained, and GPS data corresponding to the abnormal average traveling speed is marked as abnormal GPS data. The invention also discloses a device for filtering out abnormal GPS data. According to the method and device of the present invention, the abnormal speed threshold value in a current time interval which is determined according to conditions in the preset time interval is more accurate; and the filtering out of the abnormal GPS data is more accurate since the abnormal speed threshold value is accurate.

An embodiment of the invention discloses an AP filtering method and device. The method comprises the following steps: attribute information of each AP of an object position is obtained; the attribute information at least comprises frequency of occurrence and signal intensity value; statistics is run on effective value of a time sequence of each AP of the object position, all APs are subjected to preliminary filtering operation according to the effective value, probability of occurrence of each AP is calculated according to the frequency of occurrence of each AP, all preliminarily filtered APs are subjected to filtering operation according to the probability of occurrence of each AP and the signal intensity value, and a first preset number of APs are obtained; according to the signal intensity value of each of the first preset number of APs and a preset correlation formula, the first preset number of APs are subjected to filtering operation, and a second preset number of APs are obtained. Via application of the AP filtering method and device, redundant APs can be filtered out accurately, on-line positioning complexity can be lowered, and on-line positioning precision can be improved.

The object of the invention is a method and a device for filtering diagnostic messages obtained from a plurality of elements of a system, each of these elements comprising diagnostic means capable of detecting a failure and of transmitting a message comprising at least one failure indication. The state of at least certain elements of the said plurality of elements is represented by a model of state. After at least one failure message has been received, this message is filtered according to the failure indication that it contains and according to the model of state. In response to the filtering step, the model of state is updated according to the failure indication or the message is rejected. The filtering step is advantageously based on a propositional logic mechanism.

The embodiment of the invention provides a method and a device for automatically extracting a longitudinal deceleration marked line in high-precision map making, and the method comprises the steps: quickly filtering a three-dimensional laser point cloud region where the longitudinal deceleration marked line is located through the extraction of the longitudinal deceleration marked line target detection network of a color image; besides, projecting the three-dimensional laser point cloud into a two-dimensional projection image, performing fine extraction of the longitudinal deceleration marked line conducted through a semantic segmentation network, and obtaining the inner side lines of the longitudinal deceleration marked line; furthermore, filtering an inner side line which is short in length and is mistakenly identified through a straight line connection line in the three-dimensional laser so that the longitudinal deceleration marked line is accurately extracted, and the precision of the longitudinal deceleration marked line extracted from the three-dimensional point cloud meets the requirement of high-precision map making. With application of AI training, the longitudinal deceleration marking line can be suitable for various complex traffic road scenes.

The invention discloses a target image detection method, a device and a system. The method comprises: inputting an image to be processed into a full convolution neural network model, so that the fullconvolution neural network model identifies an image to be processed to output candidate position information of each candidate target image; and outputting the candidate position information of the candidate target image to be processed; extracting candidate target images corresponding to each candidate position information; enlarging each candidate target image to form a standard image, and recording an enlargement multiple corresponding to each standard image; aiming at the standard image, the standard image being inputted into the cascade convolution neural network model, so that the cascade convolution neural network model recognizing the standard image and outputting the current position information and classification probability of the suspicious target image. According to the current position information and classification probability of the suspicious target image, the magnification corresponding to each standard image and the candidate position information of each candidate target image, the position information of the target image is determined. The technical proposal of the invention can more accurately determine the position information of the target image.