MATLABCMathLibrary

模拟退火算法TSP matlab实现(Simulated annealing algorithm realize TSP matlab)

应用四元数求导航角，采用了陀螺仪和加速度计信号。(navi_test)

Matlab使用pso进行svm参数优化寻优(Matlab were svm parameter optimization using pso optimization)

DTMB，全称Digital Television Terrestrial Multimedia Broadcasting。上述资料包含了最新标准，及链路级仿真matlab代码(Digital Television Terrestrial Multimedia Broadcasting)

职能转换的纯文本唱名法记法矩阵或一个MIDI序列，代表的声音，或读取MIDI序列数据，并说明其转换为溶胶发符号。 图形用户界面是在一个唱名法编辑器的尝试，一个工作人员到唱名法的转换器。 而将工作职能溶胶fa2soundfcn文件夹在Matlabpath的。使用pathtool命令或设置路径...从文件菜单，并添加溶胶fa2soundfcn文件夹。 在M-代码计算从纯文本输入球场和持续时间，并生成用于扬声器作为信号 Ÿ Ÿ *罪=（2 * pi的*女*吨），0<吨<期限 或生成的MIDI数据序列做笔记 俯仰速度时间戳时间戳... 输出写入： *扬声器使用SOUNDSC * audioplayer对象使用AUDIOPLAYER *波形声音文件，并使用WAVWRITE * MIDI序列使用FWRITE 要生成唱名法记法，M码会从一个MIDI序列的说明使用从文件中读数据，将其转换唱名法符号和写入一个输出到一个文本文件（。txt）的使用FPRINTF 图形用户界面允许播放控制，文字编辑和独奏/静音选项。(The functions convert sol-fa notation in plain text to a matrix or to a MIDI sequence that represents the sound, or read the note data from a MIDI sequence and convert it to sol-fa notation. The GUI is an attempt at a sol-fa editor and a staff-to-sol-fa converter. Functions will work while the sol-fa2soundfcn folder is on the Matlabpath. Use the pathtool command or Set path... from the File menu, and add the sol-fa2soundfcn folder. The m-code calculates pitches and durations from the plain text input and generates a signal for the speakers as y = Y* sin(2* pi* f* t), 0 < t < duration or generates note data for a MIDI sequence as timestamp pitch velocity timestamp ... The output is written to: * speakers using SOUNDSC * audioplayer object using AUDIOPLAYER * WAVE Sound file using WAVWRITE * MIDI sequence using FWRITE To generate sol-fa notation, the m-code gets the note data from a MIDI sequence using FREAD, converts it to sol-fa symbol)

对ask fsk用matlab写出 并有图像(that is a good thing)

Output channels during simulation must be updated. Use this functions to do it

Fuzzy logic simulink

有源电力滤波器的仿真研究，基于瞬时无功功率理论的谐波检测。(Simulation Research on active power filter, harmonic detection based on instantaneous reactive power theory.)

利用遗传算法的选择、交叉、变异功能来解决多元单峰函数求最优值问题(The use of genetic algorithm selection, crossover and mutation function to solve the multi-function uation unimodal optimal value problem)