Kalman-target-tracking

Matlab编程学习课件，是初级学习非常重要(Matlab programming learning courseware, is the primary learning is important)

The objective of this project was to learn how to create high dynamic range (HDR) images from a sequence of exposures. A single exposure is limited in its dynamic range by the bit-depth of its sensors, which is usualy 8 bits per channel. This leads to saturation where regions of the image are washed out or completely black. By combining the information from multiple exposures with different shutter speeds, a larger dynamic range can be obtained and the saturated regions can be restored.

An Adaptive Diagnostic Observer(adaptive observer-based FE method)

MATLAB学习，PPT文件。完全深入简出的教学方法，从最简单的着手。(MATLAB Learning, PPT files. Completely in-depth Jane out of teaching methods, from the simplest place to start.)

K-means algorithm It is useful for clustering sample data

输入经度、纬度和高度，计算任意近地面的重力场(Enter the longitude, latitude and altitude, calculation of arbitrary gravitational field near the ground)

AN IMPORTANT class of theoretical and practical problems in communication and control is of a statistical nature.

汽车四分之一悬架模型建模与仿真，simulink(Car Modeling and Simulation fourth suspension)

独立成分分析算法降低原始数据噪声，实现串口的数据采集，使用混沌与分形分析的例程，包含位置式PID算法、积分分离式PID，车牌识别定位程序的部分功能，用于建立主成分分析模型，在matlab R2009b调试通过。( Independent component analysis algorithm reduces the raw data noise, Achieve serial data acquisition, Use Chaos and fractal analysis routines, It contains positional PID algorithm, integral separate PID, Part of the license plate recognition locator feature, Principal component analysis model for establishing, In matlab R2009b debugging through.)

基于高斯混合模型和EM（Expectation Maximization）算法的SAR影像变化监测算法，并附带示例。总体思路是首先将两个时期的SAR影像做log和ratio运算，生成差分影像，然后通过EM算法估计高斯混合模型的参数，最后根据高斯混合模型最大概率，生成变化监测结果。(Unsupervised change detection method for SAR images using EM algorithms of Gaussian mixture model)