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关于UKF的仿真程序，注释详细，还包含有两个演示程序，分别针对一维和二维的跟踪情况，与EKF作比较，充分说明了UKF在非线性情况下优于EKF(The simulation program on the UKF, comments in detail, also includes two demo program, respectively for the one-dimensional and two-dimensional tracking of cases, compared with the EKF, UKF speaks better than the EKF in nonlinear case)

遗传工具箱在matlaB中的实现，压缩包里面包含多个源代码。(Genetic toolbox in MATLAB, compression package which contains more than one source.)

A. Fusion at the Feature Extraction Level The data obtained from each sensor is used to compute a feature vector. As the features extracted from one biometric trait are independent of those extracted from the other, it is reasonable to concatenate the two vectors into a single new vector. The primary benefit of feature level fusion is the detection of correlated feature values generated by different feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy [14]. The new vector has a higher dimension and represents the identity of the person in a different hyperspace. Eliciting this feature set typically requires the use of dimensionality reduction/selection methods and, therefore, feature level fusion assumes the availability of a large number of training data.

室内环境射线跟踪算法研究，室内反射点追踪的计算(Indoor environmental ray tracing algorithm to calculate the reflection point indoor track)

脑电特征提取的典型特征提取算法——共同空间模式方法，本人已亲自调试，并用于论文的写作，是一个提取脑电特征的利器(Eeg feature extraction of typical feature extraction algorithm, joint space model method, I have personally debugging, and used for thesis writing, is a feature extraction of eeg)

基于粒子滤波的目标跟踪算法，测试程序及代码(Particle filter based target tracking algorithm, testing procedures and code)

Simulink model, after run the data generator m.file.

matlab的学习课件，关于科学计算的应用，以数学计算主要要内容(matlab learning courseware, on the application of scientific computing, mathematical calculations primarily to content)

地震合成记录，通过褶积模型，利用子波和反射系数求出了自激自收情况下的波形。(synthetic seismogram)

说明：  李氏指数求取程序下载！lyapunov指数的求取(lyapunov)