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sigTOOLDemo
这是一个的10Mb文件
这是演示版本的SIGTOOL软件包。
它没有完整的文件导入功能或速度的完整版本sigTOOL (this is a 10Mb file
THIS IS A DEMO VERSION OF THE SIGTOOL SOFTWARE PACKAGE.
It does not have the complete range of file import functions or speed of the full version of sigTOOL.
)
- 2009-05-01 11:17:48下载
- 积分：1
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j-solr1
matlab实用程序百例 matlab实用程序百例(matlab Utility Utility matlab 100 cases 100 cases)
- 2008-05-12 16:13:25下载
- 积分：1
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Matlab_ode
介绍了MATLAB中ODE的用法，希望对大家有用。(Matlab--ODE)
- 2010-12-15 16:42:35下载
- 积分：1
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mainf
地球物理学重力勘探中，用最小二乘法对重力异常进行正反演的程序(Gravity exploration geophysics, the least square method on the gravity anomaly inversion procedure)
- 2010-05-19 17:05:08下载
- 积分：1
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plotResults
plots result of simulation in matlab
- 2015-03-18 16:02:08下载
- 积分：1
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基于simulink很实用的EKF估计soc程序
此编程实现基于扩展卡尔曼滤波(EKF)方法的动力电池SOC估计，并输出波形(This programming implements the battery SOC estimation based on the Extended Kalman Filter (EKF) method and outputs the waveform)
- 2018-04-13 15:06:44下载
- 积分：1
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Mo-phong
说明： Mobile Robot Simulation by Matlab
- 2019-01-05 14:28:27下载
- 积分：1
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程序1.0
说明： 假定均匀线列阵的阵元数为16。入射平面波为是频率为62.5Hz的正弦信号。阵元间距为波长的1/2。系统采样频率为1kHz，观测时间为0.4s，阵列加权方式为均匀加权，分别给出：
(a)当平面波信号分别从0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100度方向入射时，主瓣指向90度方向的波束形成器的输出序列。(It is assumed that the number of elements of uniform linear array is 16.The incident plane wave is a sinusoidal signal with a frequency of 62.5Hz. The element spacing is 1/2 of the wavelength. The sampling frequency of the system is 1 kHz.The sampling frequency of the system is 1 kHz, the observation time is 0.4 s, and the array weighting mode is uniform weighting.)
- 2019-05-03 16:59:59下载
- 积分：1
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GAOTtool
利用matlba编写的遗传算法工具箱，功能强大，设置简单，运行效率高。非常好用的工具。(Matlba prepared using genetic algorithm toolbox, powerful, easy setup, operation and high efficiency. Very useful tool.)
- 2009-02-16 16:17:31下载
- 积分：1
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MatlabSpiderToolbox
Matlab人工智能学习包，由世界领先的德国马普所制作(The spider is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be compared with, e.g model selection, statistical tests and visual plots. This gives all the power of objects (reusability, plug together, share code) but also all the power of Matlab for machine learning research.)
- 2009-11-13 23:57:06下载
- 积分：1
