423 results about "Temporal correlation" patented technology

Provided is a digital multimedia broadcasting (DMB) system that can provide a multimedia data broadcasting service having an excellent reception quality, a method thereof, and a computer-readable recording medium for recording a program that implements the method. The DMB system includes an encoding unit for encoding an inputted audio / video signal; a synchronizing unit for synchronizing media stream, additional data, interactive service objectifying data that are outputted from the encoding unit; a multiplexing unit for multiplexing the media stream outputted from the synchronizing unit; an error correction encoding unit for performing additional error correction encoding on the media stream outputted from the multiplexing unit; an interleaving unit for removing temporal correlation between adjacent byte units within a data stream outputted from the error correction encoding unit; and a transmitting unit for transmitting a DMB media stream outputted from the interleaving unit to the conventional DAB system and other digital broadcasting systems.

The present invention relates to a system and method to allow multiple users to collaborate on tasks and interact in a shared space session within a network in real-time; using a media application to manage media-layers. Each media-layer serves as a container for multimedia programs or plug-ins. The invention allows which media-layer to display via organization metaphors and filtering criteria. When multiple users are logged into the same shared space, each user can invoke and observe modifications to media-layers with the browser based or client based application. All events are synchronized among all users in that shared space, where the system is a communication conduit. The media-layers in the shared space maintains spatial and temporal correlation by a media application stage manager tool and described as a collection file descriptor such as an XML file. The ability to invoke events that affect media-layers can be supported in a synched or non synched mode on demand.

An integrated circuit is provided with multiple data processing components associated with respective sources which generate trace data streams. A reference timestamp generator is provided and the trace data streams are annotated such that they are output off-chip together with reference timestamp data. Outputting the reference timestamp data together with the trace data streams enables temporal correlation between points in different trace data streams by trace analysis tools.

A system and method for measuring one or more light-absorption related blood analyte concentration parameters of a mammalian subject, is disclosed. In some embodiments, the system comprises: a) a photoplethysmography (PPG) device configured to effect a PPG measurement by illuminating skin of the subject with at least two distinct wavelengths of light and determining relative absorbance at each of the wavelengths; b) a dynamic light scattering measurement (DLS) device configured to effect a DLS measurement of the subject to rheologically measure a pulse parameter of the subject; and c) electronic circuitry configured to: i) temporally correlating the results of the PPG and DLS measurements; and ii) accordance with the temporal correlation between the PPG and DLS measurements, assessing value(s) of the one or more light-absorption related blood analyte concentration parameter(s).

The present invention relates to a system and method to allow multiple users to collaborate on tasks and interact in a shared space session within a network in real-time; using a media application to manage media-layers. Each media-layer serves as a container for multimedia programs or plug-ins. The invention allows which media-layer to display via organization metaphors and filtering criteria. When multiple users are logged into the same shared space, each user can invoke and observe modifications to media-layers with the browser based or client based application. All events are synchronized among all users in that shared space, where the system is a communication conduit. The media-layers in the shared space maintains spatial and temporal correlation by a media application stage manager tool and described as a collection file descriptor such as an XML file. The ability to invoke events that affect media-layers can be supported in a synched or non synched mode on demand.

A cine imaging filter and method of use that includes a denoising image-filter based on the Karhunen-Loeve transform along the temporal direction to take advantage of the high temporal correlation among images. The cine imaging filter may further include the application of a simple formula describing the quantitative noise reduction capabilities of the KLT filter as a function of eigenimage cutoff. Additionally, the filter may validate its accuracy in numerical simulation and in in-vivo real time cine images. Furthermore, exemplary embodiments of the cine imaging filter may employ a technique to automatically select the optimal eigenimage cutoff to maximize noise reduction with minimal effect on image information.

An integrated circuit is provided with multiple data processing components associated with respective sources which generate trace data streams. A reference timestamp generator is provided and the trace data streams are annotated such that they are output off-chip together with reference timestamp data. Outputting the reference timestamp data together with the trace data streams enables temporal correlation between points in different trace data streams by trace analysis tools.

In a closed-loop wireless communication system, a codebook-based precoding feedback compression mechanism is provided to remove redundancy from the precoding feedback that is caused by channel correlation in time and frequency. Redundancy due to temporal correlation of the transmission channel is removed by sending precoding feedback only if there is a change in the precoder state for the channel to the receiver. Redundancy due to frequency correlation is removed by run length encoding the precoding feedback, thereby compressing the precoding feedback prior in the frequency domain. By compressing the precoding feedback, the average rate of precoder feedback is reduced.

In a wireless communication network, the location of an addressable receiver relative to the locations of a plurality of addressable sources of electromagnetic radiation is found using probabilistic models of the signal strength measured at the addressable receiver. The inventive method provides location determination on a finer spatial scale than was heretofore available. A region of interest is calibrated via a discrete-space radio map storing probability distributions of received signal strength at the measurement locations. The stored probability distributions are compensated for temporal variability and biases, such as through temporal correlations of the sampled received signal strength. A measurement of the signal strength at the addressable receiver from each of the plurality of addressable sources is used in conjunction with the discrete-space radio map to identify one of the coordinates thereof that maximizes the conditional probability P(xls), where x is the radio map location and s is a vector of measured signal strengths.

The invention discloses a traffic flow data recovery method based on space-time correlation. The method includes a front-stage traffic data conversion and abnormal data screening method and a follow-up traffic flow data recovery method. The data screening method relates to a threshold value screening method, a zero data screening method and a quality screening method according to the abnormal condition of actual traffic flow data. According to time correlation and space correlation of traffic flow data, by the combination of a time sequence method and a multiple linear regression method, namely the data recovery method based on temporal correlation and spatial correlation, the comprehensive traffic flow data recovery method based on space-time correlation is designed. The method is simple and quick, the real-time processing requirement can be met, and an acquired result is high in accuracy.

The invention discloses a method, a device and a system for regional division / coding of an image. By extracting a motion vector of the image in a video sequence, judging the image as an interest region or a non-interest region according to the complexity of the motion vector, and performing further accurate judgment on the image after regional division according to spatial correlation and temporal correlation of a macro block, the accurate division of a foreground region and a background region is performed on the image. A smaller quantization parameter is adopted for the interest region to improve the quality of a video, and a higher quantization parameter is adopted for the non-interest region to balance the overall bit consumption to be unchanged, and finally achieve the effect of improving the subjective quality of the video.

The invention provides a traffic prediction method based on an enhanced space-time diagram neural network, and the method comprises the steps: modeling the time correlation and spatial correlation ofa road network based on a traffic prediction framework from a sequence to a sequence model, and constructing a directed weighted graph for the whole road network according to the upstream and downstream relationship of the road network; spatial correlation of a road network is captured through a diffusion graph convolutional network, spatial correlation characteristics of the road network are extracted, a time sequence with the spatial correlation characteristics is input into a recurrent neural network to capture time correlation of the road network, and then a prediction result is optimizedin the decoding process by an actor-critic algorithm in reinforcement learning; regarding A road network relation topological graph captured by each time slice as an actor in an intelligent agent anda recurrent neural network as a random strategy of a next action selected by the actor, judging the action selected by the actor by using critic, feeding back a dominance function, and enabling the actor to update strategy parameters according to the fed-back dominance function, so that prediction precision is greatly improved compared with a traditional method.

A cine imaging filter and method of use that includes a denoising image-filter based on the Karhunen-Loeve transform along the temporal direction to take advantage of the high temporal correlation among images. The cine imaging filter may further include the application of a simple formula describing the quantitative noise reduction capabilities of the KLT filter as a function of eigenimage cutoff. Additionally, the filter may validate its accuracy in numerical simulation and in in-vivo real time cine images. Furthermore, exemplary embodiments of the cine imaging filter may employ a technique to automatically select the optimal eigenimage cutoff to maximize noise reduction with minimal effect on image information.

The invention relates to a short-time traffic flow prediction method considering spatial-temporal correlation. The influence of temporal correlation on the traffic flow of a target detection point is considered, and a short-time traffic flow temporal correlation prediction value is acquired; the spatial correlation of the object traffic flow is analyzed and researched by using a hierarchical clustering method, and multiple key spatial correlation points are determined; the influence of the traffic flow of the spatial correlation points on the traffic flow of the target detection point is considered, and a short-time traffic flow spatial correlation prediction value is acquired; the temporal correlation prediction value, the spatial correlation prediction value and the prediction value of the present method are integrated by using an "entropy method" so that the final prediction result of the short-time traffic flow of the target detection point is generated; and the prediction error is evaluated and analyzed according to the prediction result of the traffic flow and the actual traffic data. According to the method, the defect of the present method that the spatial-temporal characteristics cannot be fully utilized can be overcome, and the spatial-temporal correlation prediction result and the prediction result of the present method can be further integrated so that the accuracy of the short-time traffic flow prediction result can be effectively enhanced.