-
sol_fa2soundfcn20_May_2011
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)
- 2011-05-21 13:16:55下载
- 积分：1
-
514_1poission
随机过程中的possion算法在matlab中的实现例程(random process of possion algorithm in Matlab routines to the realization)
- 2007-05-13 18:05:27下载
- 积分：1
-
speed
利用matlab建模的电机控制--双闭环直流调速系统定量仿真(Use of matlab modeling of motor control--double closed loop dc speed control system quantitative simulation
)
- 2012-06-09 14:43:01下载
- 积分：1
-
InvertedPendulumControled_PID
SimMechanics pendulum used for control optimization
- 2014-01-25 16:05:24下载
- 积分：1
-
optimun_m
Optimum matlab implementation
- 2010-11-21 00:27:54下载
- 积分：1
-
noice
在MATLAB环境下产生白噪声程序，三个性质可以设定，能够正常使用(In the MATLAB environment to produce white noise process, the three properties can be set to normal use)
- 2011-04-23 19:39:42下载
- 积分：1
-
The-chaos-sequence-forecast-function
基于混沌理论的时间序列的系统多步预测函数(Based on the theory of chaos time series prediction function of the system)
- 2012-04-11 16:11:51下载
- 积分：1
-
netanim_3.100-1.debian.tar
sofware witch is very important in with omnetpp and views networks architectures
- 2014-08-14 00:18:31下载
- 积分：1
-
walke
很有趣的matlab程序，是一个人在行走，经过matlab2011b运行，对仿真感兴趣的可以学习学习(Very interesting matlab program, a person in walking, after matlab2011b run, simulation interested can learn from)
- 2012-11-15 21:05:24下载
- 积分：1
-
FdRLS
雷达数据处理对于观测的目标位置数据（称为点迹）进行滤波处理，自动形成航迹，并且可以对下一个目标的位置进行估计预测。利用最小二乘算法（LMS）进行滤波处理，得到了比较稳定的航迹估计。
最小二乘方法是参数估计中一种较为常见的参数估计方法。对于雷达观测数据，在我们假定已经精确知道航迹的运动学模型之后，通过建立观测方程，即可以对于模型的参数，如初速度，初始位置和加速度等进行最小均方误差估计。采用序贯最小二乘的方法可以对观测数据进行实时处理，已对待估计参数进行实时更新，然后利用观测模型可以对 数据进行滤波计算。(Radar data processing for target position data observed (known as trace points) filter processing, automatic track, and can be estimated to predict the position of the next target. Using the least squares algorithm (LMS) filtering process, have been relatively stable track estimates. Least-squares parameter estimation method is a more common parameter estimation method. For radar data, we assume that the kinematic model has been accurately track after, through the establishment of observation equations, which can be the parameters of the model, as ever speed, acceleration, etc. initial position and minimum mean square error estimation. Sequential least squares method using the observed data can be processed in real time, has been to treat the estimated parameters are updated in real time, and then use observational data can be filtered model calculations.)
- 2021-04-24 07:58:47下载
- 积分：1
