libsvm-mat-2.86-1

利用①相关匹配（Correlation Matching）、②基于Hausdorff距离匹配方法 及③考虑对场景图象距离变换（Distance Transform）的Hausdorff距离匹配方法,实现模板目标在场景图象中的定位(Use ① correlation matching (Correlation Matching), ② matching method based on Hausdorff distance and image of the scene ③ consider the distance transform (Distance Transform) the Hausdorff distance matching methods to achieve the target template in the scene image positioning)

Expectation maximisation with principal component analysis

多种经典谱估计的方法，直接法谱估计，间接法谱估计，Bartlett谱估计，welch谱估计（含多种窗口的实现）。(A variety of classical spectral estimation method, direct method spectrum estimation, spectral estimates of the indirect method, Bartlett spectrum estimation, Welch spectrum estimation (including a variety of window).)

Various species of birds have unique bird calls. These bird calls are distinct based on inflection, length, and context, meaning the same bird may have more than one call. A device that would analyze the signal and identify the bird based on the bird call could be of tremendous help to an ornithologist. This project proposed the development of this device using signal processing and embedded design.

交互式多模型目标跟踪UKF和EKF滤波（内附例程与相关论文）。(Interacting multiple model target tracking filter UKF and EKF (with routines and related papers).)

These set of programs are written to design a robust power system stabilizer for minimizing the effects of low frequency oscillations in electric power systems. A complete nonlinear model of the power system represented by a single machine connected to an infinite bus is developed in the Simulink environment. A fuzzy Power System Stabilizer is designed using the fuzzy logic toolbox of matlab and its parameters are tuned by a NEural Network controller.

fastICA2.5 ICA算法，使用快速独立分量分析（ICA）算法进行特征提取(fastICA2.5 ICA algorithm, the use of fast independent component analysis (ICA) feature extraction algorithm)

GA遗传算法与PSO离子群组合算法matlab程序，以下是使用本程序的简单介绍与使用步骤 1）修改设计变量个数 NPar变量定义的是设计变量个数，本例为8，使用时需根据自己实际情况进行修改。 2）修改设计变量的上下限 VarLow 与VarHign定义的是设计变量的上下限，使用时需根据自己实际情况进行修改。记住，变量的维数，要与1）变量个数一致哦。 3）修改FunName 变量FunName定义的是优化目标函数值的计算函数，根据自己实际情况改成自己的函数名。 4）修改最大迭代次数MaxIterations 要根据自己的问题实际，通过试算找出合适的MaxIterations数。 如果，你对GA与PSO比较精通，还可以通过修改KeepPercent、CrossPercent来提高算法的效率，但是对于初学者来说，上述的步骤与操作已经足够，所以其它不再赘述。祝你好运！ (GA genetic algorithm and PSO Ion combination algorithm matlab program, the following is a brief description of the use of this procedure with the use of step a) to modify the design variables are defined by the number of NPar variable number of design variables, in this case eight, when used according to need their actual situation changes. 2) modify the design variables on the lower limit is defined VarLow and VarHign upper and lower limits of design variables need to be modified when used according to their actual situation. Remember, dimensions variable, the number to be with a) variable consistency oh. 3) Modify FunName variable FunName definition is to optimize the objective function value calculation function, according to their actual situation into their own function name. 4) Modify the maximum number of iterations MaxIterations issue according to their actual, through spreadsheets to find the appropriate number MaxIterations. If you are more proficient GA and PSO, but also can)

基于自适应子带频谱熵的稳健性语音端点检测(Based on adaptive sub-band spectral entropy of the robustness of Speech Endpoint Detection)

用基于matlab语言实现的bp神经网络算法(Matlab-based language implementation of bp neural network algorithm)