S_665_buck_boost_14a

HYBRID APF IN INDUSTRIAL PLANT

用MATLAB开发的旅行商问题，可以设定不同的初始条件，进行求解。求解速度快！(Using MATLAB development of traveling salesman problem, you can set different initial conditions, to solve. Solving faster!)

《MATLAB神经网络30个案例分析》中的第17个例子，案例17 SOM神经网络的数据分类--柴油机故障诊断。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of example, 17 cases of 17 SOM neural network data classification, diesel engine fault diagnosis. Hope to have certain help to everybody! )

TLS-ESPRIT 方法估计DOA,并求出估计角(TLS-ESPRIT method estimates DOA，and finds the angle)

cordic matlab simulation algorithm, Signal Processing ESPRIT method, A very useful program.

信号盲分离算法中的一种：最大信息化算法，该算法是基本算法，在此改进的基础上可以得到很多改进算法(Blind signal separation algorithm in one: the maximum information algorithm, which is the basic algorithm, based on this improved algorithm can be improved a lot)

兔子繁殖问题，好累啊 重要的是画出曲线，而不是柱状图(Rabbit breeding problems, tired. what important is to draw the curve, rather than the histogram)

基于粒子滤波的雷达检测前跟踪算法，建立新的目标模型和观测模型，提出了线性扩展目标。能够检测1db的弱小目标。(A radar target track-before-detect (TBD) algorithm using particle filter (PF) is presented in this paper. System dynamic model and measurement model are established based on a sequence of radar range-Doppler measurements using the new algorithm. Furthermore, a linear xtended target model is proposed, which is more capable of describing a maneuvering target than the conventional point arget model. The likelihood ratio function of the new model is also derived in this paper. Due to the accumulation of the PF-TBD over time and the effectiveness of the proposed target model, an mproved probability of detection for dim target is obtained. The experimental imulations demonstrate that the proposed method is capable of detecting and tracking a target with SNR of 1 dB robustly. )

一些关于遗传算法的例子，里面是精简的各种特色的遗传算法例子(Some examples of about genetic algorithm, the inside is concise characteristic of various kinds of genetic algorithm example)

LDA for Matlab, Good Code! Wish you enjoy it!(LDA for Matlab, Good Code! Wish you enjoy it!)