featool-multiphysics-setup

P0801：索书号文字图像分割 P0802：粘连字符切分 P0803：文字识别 P0804：彩色车牌分割 P0805：商标文字分割 Recognition：文字识别的识别子函数 StrDetect01：文字识别的结构特征提取子函数(P0801: Call Number text image segmentation P0802: adhesion character segmentation P0803: Character Recognition P0804: color plates partition P0805: text segmentation trademarks Recognition: Character Recognition Recognition Functions StrDetect01: the structure of character recognition feature extraction Functions)

simulation of unimodal image thresholding

cognitive radio, GUI interface, dynamic traffic genration

说明：  BESS通常用于负载均衡，调峰，负载转移应用等。 此BESS块从工作空间获取每小时负载曲线（kW）输入，并计算电网和电池使用量输出到工作空间。 必须以两列格式准备负载配置文件，其中第一列是从一天的0小时开始的时间。第二列是以kW为单位的功耗。（例如，将SampleLoadProfile.mat加载到工作空间中）。 模拟运行时间是从一天的0小时开始的每小时单位。例如，为了模拟24小时负载配置文件，模拟运行时间设置为23，一周运行时间设置为167，一个月30天运行时间设置为719和31天运行时间设置为743。 在“求解器”选项下的模型配置参数中，设置为固定步长类型并将固定步长（基本采样时间）设置为1并运行模拟。(BESS are commonly used for load leveling, peak shaving, load shifting applications and etc. This BESS Block takes hourly Load Profile (kW) input from workspace and compute the Grid and Battery usage output to workspace. The load profile has to be prepared in two column format, where the first column is time starting from 0 hour of the day. The second column is power consumption in kW unit. (For example, load the SampleLoadProfile.mat into workspace). The simulation run time is in hourly unit starting from 0 hour of the day. For example to simulate a 24 hours load profile, the simulation run time is set to 23, one week run time is set to 167, one month 30 days run time is set to 719 and 31 days run time set to 743. In model configuration parameters under Solver options, set to fixed-step type and set the fixed-step size (fundamental sample time) to 1 and run the simulation.)

开发环境:Matlab 简要说明:动量-自适应学习调整算法。在实际应用中，原始的BP算法很难胜任，因此出现了很多的改进算法。BP算法的改进主要有两种途径，一种是采用启发式学习方法，另一种则是采用更有效的优化算法。本例采用动量BP算法，来实现对网络的训练过程，动量法降低了网络对于误差曲面局部细节的敏感性，有效地抑制网络陷于局部极小。(development environment : Matlab Brief Description : Momentum-adaptive learning algorithm adjustments. In practical application, the original BP algorithm competence, resulting in a lot of improved algorithm. BP algorithm improvements There are two main ways of using a heuristic approach to learning Another is the use of a more effective method of optimization. Momentum cases using the BP algorithm to achieve the network training process, Momentum for reducing error of the network for local surface details of the sensitivity, to effectively curb the network into local minima.)

代码为模拟退火法，利用matlab工具编写。(the code is simulated annealing which written by matlab.)

说明：  布谷鸟搜索的算法,其中，cs_spt.m为主程序，fobj.m为目标函数(The algorithm of cuckoo search,in which CS _SPT is the main program and fobj is the objective function .)

k均值是想过程,开发工具是MATLAB。详细实现了k均值算法(k-means is to want to process,the development is matlab)

input: fun x(t) t min & t max a df T = t_max-t_min fs = a*1/T 输入1：方程，xt；输入2，3：信号起始时间；输入4：选取的采样周期是信号长度倒数的倍数， 默认为50；输入5：频域分辨率，默认为0.3 输出频域信号和频域范围 为了提高fft的速度，频域信号长度是2的次方( Input: fun x (t) t min & t max a df T = t_max-t_min fs = a* 1/T Input 1: Equation XT input 2,3: signal start time input 4: select the sampling period is the reciprocal multiples of the signal length, default is 50 input 5: frequency domain resolution, default is 0.3 of the output frequency domain signal and the frequency domain in order to improve the speed of the FFT, the frequency domain signal length is a power of 2)

现代信号处理教程（胡广书），时频分析。含源码(time-frequency analysis)