shuizhunwang

基于Kalman滤波算法的自适应AR模型，优点：算法收敛速度快；(Adaptive Kalman filtering algorithm based on AR model advantages: algorithm convergence speed )

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)

Particle swarm optimization With linkage operator

permanent magnet synchronous generator

this uses matlab for watermarking

说明：  2015年新书《功率变换器和电气传动的预测控制》的课后参考模型(Simulink model in<Predictive Control of Power Converters and Electrical Drives>)

主成份分析法matlab程序完整代码 可对多指标样本求得分并排名(PCA can request more samples of scores and ranking indicators)

CORRNER DETECTION IN IMAGE

关于lms的作业，有详细的注释，程序经过验证没有问题，(homework for the lms，)

to detect edge using prewitt filter