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nosGUI
matlab动画，很有用的，希望能对初学者有所帮助，欢迎下载(matlab animation, very useful, hoping to help beginners, are welcome to download)
- 2010-12-09 16:23:05下载
- 积分：1
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ThrSample2
自然三次样条几乎等同于样条设备生成的曲线。在这些所有的二次连续可导函数中，钳位与自然三次样条可以得到相对于待插值函数 f 的最小值(spline interpolation)
- 2012-04-26 21:59:27下载
- 积分：1
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Comp-Ocr
Optical Charactor Recognition
- 2013-07-27 03:50:08下载
- 积分：1
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GNSS_SDR
GPS_SDR:GPS软件接收机源码，包括从中频数据获取到捕获、跟踪、解码、定位和界面显示。(GPS_SDR: GPS software receiver source, including data acquisition from the IF to the acquisition, tracking, decoding, positioning, and screen displays.)
- 2010-11-09 16:36:14下载
- 积分：1
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music
在程序中用一般的MUSIC方法估计了信号的频谱，从两图中可看出在信号各频率处，频谱的峰值较大，故能明显的与噪声相区别，可在一定程度上避免在信号幅度较小时信号被噪声淹没的情况。(MUSIC method general procedures used to estimate the spectrum of the signal, it can be seen from the two graphs in the signal at each frequency of the spectrum peak larger, and it could be significantly distinguished from noise in the signal can be avoided to some extent a lesser extent, the signal is noise submerged.)
- 2013-01-06 21:36:41下载
- 积分：1
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code
1.实验目的：绘制分形图案并分析其特点。
2.实验内容：绘制Koch曲线、Sierpinski三角形和树木花草图形，观察这些图形的局部和原来分形图形的关系。
3.实验思路：利用函数反复调用自己来模拟分形构造时的迭代过程，当迭代指标n为0时运行作图操作，否则继续迭代(1. Purpose: Draw fractal patterns and analyze their characteristics. 2. Experiment: Draw Koch curve, Sierpinski triangle graphic flowers and trees, observe the relationship between the local and original graphics fractal graphics. 3. Experiment idea: using the function calls itself repeatedly to simulate the iterative process when the fractal structure, when the iteration index n is plotted 0:00 run, otherwise continue iterating)
- 2014-12-16 19:49:30下载
- 积分：1
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matlab-coding-for-bwfw-power-flow
this program is for bwfw power flow.
- 2013-07-29 01:33:17下载
- 积分：1
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MG_RK4
Mackey-Glass时间序列预测建模问题，对数据采用4阶龙格库塔方法离散化。(Mackey-Glass time series prediction modeling of data using four discrete order Runge-Kutta method.)
- 2014-10-27 17:06:55下载
- 积分：1
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InputDemo
daqaxis help for national instruments
- 2009-05-24 20:16:40下载
- 积分：1
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sst-matlab
NOAA网站AVHRR卫星数据绘图（SST）。数据选用原因:它本身是已经被处理过的27年（1982-2008）全球月平均数据，而且数据精度非常高，对于研究全球SST的气候态特征有较好的说服性；另外，选择2月与8月的数据，对描述海洋水温的平面分布更具有代表性。
(NOAA AVHRR satellite data mapping site (SST). Data Selection reasons: it is itself already been treated for 27 years (1982-2008) global average monthly data, and the data accuracy is very high, for the study of global climate SST state characteristics have better persuasive addition, February with the data in August, and the description of ocean water temperature plane distribution more representative.)
- 2021-03-22 17:49:16下载
- 积分：1
