danyonghu

通信调制与解调模拟，matlab编写的。(communications module and demo simulate)

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)

非线性系统精确线性化的matlab工具箱，学习非线性的学者有用。(Exact linearization of nonlinear systems matlab toolbox, useful for scholars studying non-linear.)

simulink此书对于初学者来说，比较适合，简单介绍了一些simulink的相关模块等(simulink)

broadatz纹理库,和lbp算子.用四种不同的lbp算子验证图像的旋转不变性.(broadatz textures, and lbp operator. lbp with four different operators verify the image rotation invariance.)

读取YUV格式的的文件，将YUV转换为matlab的Mov格式。(Read YUV format files to YUV conversion matlab Mov format.)

本人根据卡尔曼滤波原理，编写的Kalman小程序，简单可用！(I based on the principle of Kalman filtering, Kalman write small programs, simply available!)

image 2d enchancement using redundant discrete wavelet algorithm

matlab, FTF算法，选用电力系统谐波信号作为输入信号。参考书目：现代数字信号处理，皇甫堪等，电子工业出版社(matlab，)

说明：  LVQ神经网络的预测，可以用来进行人脸识别(lvqnetwork，a important kind of network)