bianyuanjiance

这是模式识别中模板匹配内容的Matlab例程，其中edit_distance程序用来计算两个符号字符串间的编辑距离； back-tracking程序是“回溯”法画出最佳路径的代价网格； Dtw-Sakoe.m程序是具有Sakoe-Chiba局部路径约束的动态时间弯 折。(This is a pattern recognition template matching the content of Matlab routines, which edit_distance procedures used to calculate the two symbols of the edit distance between strings back-tracking program is " back" method to draw the best path cost grid Dtw- Sakoe.m program is a Sakoe-Chiba local path constraint of the dynamic time warping.)

这是个进行问题优化的实验的matlab程序代码，有相关需要的可以下载使用(This is a problem to optimize the experimental procedure of matlab code, have the relevant need can be downloaded using the)

一个圆周卷积的代码~调用形式为y=juanji(h,x1,M) 其中，h和x1为输入，h为滤波器系数，x1为输入采样信号，输出为y,M为输入信号x1的长度。(A circular convolution of the code to call the form of y = juanji (h, x1, M) of them, h, and x1 for the input, h for the filter coefficient, x1 sampling input signals, output y, M for the input signal x1 length.)

利用matlab封装的底层模块的三种方法( 利用matlab封装的底层模块的三种方法)

基于模糊PID控制迟延系统具有更好的调节时间以及更小的超调量(The delay system based on fuzzy PID control has better adjustment time and smaller overshoot.)

2PSK信号的仿真，解调，仿真结果误码率计算(2PSK signal simulation, demodulation, bit error rate simulation results)

in this code you can do the face tracking process in matlab

In order to minimize power losses caused by high current and improve the voltage profile in the network distribution, the introduction of dispersed generations also called productions decentralized in distribution network (DG) plays an important role. The installation of DGs directly affects the power requested or purchased. The sizing and placement of DGs in the system must be optimal because a wrong choice has a negative impact on the system behavior. To solve this combinatorial problem, an algorithm known as Firefly algorithm is proposed in this paper. This is a meta-heuristic algorithm inspired by the behavior of fireflies flashing. The main objective of firefly flash is to act as a signaling system to attract other fireflies. Networks tested IEEE69-bus and IEEE33-bus are used to evaluate the effectiveness of this method. The results are compared with those obtained by genetic algorithm (GA) to IEEE69-bus, and Shuffled frog leaping algorithm (SFLA) for IEEE 33-bus.

广义预测控制算法（带系统参数辨识）,应用于变风量空调系统中的表冷器系统(Generalized Predictive Control Algorithm (with system parameter identification), used in VAV system cooler system)

DSB-SC Modulation Matlab code