当前位置:网站首页>[gmm+kde] target tracking simulation based on GMM and KDE kernel estimation of MATLAB
[gmm+kde] target tracking simulation based on GMM and KDE kernel estimation of MATLAB
2022-06-10 23:09:00 【FPGA and MATLAB】
1. Software version
matlab2013b
2. Theoretical knowledge of this algorithm
GMM
GMM It is a method of using a certain number of small Gaussian functions to approximate the probability density function of a variable , It is a commonly used parametric model in probability estimation , This year it is widely used in the field of pattern recognition .
A limited GMM The description of is very simple , That is, a mixed model is formed by any convex combination of high-tech distribution functions . about n Random variables in dimensional real space x, utilize GMM The probability density function can be expressed approximately :
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Gaussian distribution , Also known as normal distribution . The great mathematician Gauss (Gauss) And 1809 In, he was studying error theory
Derived from . For random variables x, The probability density is :
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