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Similarity measurement computing method of linear dynamical systems

A similarity measurement and dynamic system technology, applied in the field of similarity measurement calculation of linear dynamic systems, can solve the problem of not considering the influence of the calculation results of linear dynamic systems, and achieve the effect of increasing the interval, high calculation accuracy and simple model

Inactive Publication Date: 2014-12-10
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

But this method has a very obvious defect that it does not consider the influence of the initial state of the linear dynamic system on the calculation results

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  • Similarity measurement computing method of linear dynamical systems
  • Similarity measurement computing method of linear dynamical systems
  • Similarity measurement computing method of linear dynamical systems

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[0039] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0040] figure 1 A flow chart of a similarity measure calculation method for a linear dynamic system provided by the present invention, such as figure 1 As shown, the method includes the following steps:

[0041] Step 1: Collect time series data to be processed;

[0042] In one embodiment of the present invention, this step collects two pieces of time-series data to be processed. The present invention will be described below by taking two pieces of time-series data as an example. Of course, when the time-series data is multi-segment, it can be described as follows analogy.

[0043] Step 2: respectively calculating the linear dynamic system model parameters corresponding to the time series data;

[0044] This step furth...

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Abstract

The invention discloses a similarity measurement computing method of linear dynamical systems. The method comprises the following steps that time series data to be processed are collected; linear dynamical system model parameters corresponding to the time series data are respectively computed; subspace included angles between the corresponding linear dynamical systems are obtained by computing the linear dynamical system model parameters; frame offset optimization is carried out on the subspace included angles to obtain the similarity measurement of the time series data. The method can be applied to time series data analysis, video content retrieval, intelligent video monitoring and other services.

Description

technical field [0001] The invention relates to the field of computer application technology, in particular to a method for calculating a similarity measure of a linear dynamic system. Background technique [0002] With the rapid development of social economy and science and technology, time-series data has widely and deeply played an important role in the fields of national economy and people's livelihood, commercial finance, and scientific research, such as changes in national population and grain reserves over time, weather and rain over time Time-series data analysis can play an important role in the law of change, the trend of stock market exchange rates over time, etc. On the other hand, video data, as a time-series data closely related to people's daily life in recent years, has been widely used in various places. For example, installing monitoring systems for security in areas such as banks, airports, and residential areas will generate a large amount of monitoring ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/90335
Inventor 罗冠胡卫明
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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