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RandomSeq
Random numbers in a given range. Prints N numbers between lo and hi.
- 2015-04-04 17:39:38下载
- 积分：1
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OMPdemo
SAR图像压缩感知图像处理，用于压缩感知处理后的SAR图像进行图像重建与恢复(SAR image compression sensing image processing, image sensing processing for compressing SAR image after reconstruction and restoration)
- 2016-04-05 09:51:03下载
- 积分：1
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根据设置为所有32颗卫星生成CA码-ash_base
说明： It is Function generates CA codes for all 32 satellites based on the settings
- 2020-06-22 13:40:02下载
- 积分：1
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Demo_filles_for_Image_Webinar_Jan_v2
说明： 程序用来识别破损的物体，并标注显示。比如在一堆球形的物体中有非球形的物体，可以方便的检测出来，并显示位置(Procedures used to identify damaged objects, and label display. For example, in a pile of spherical objects in non-spherical objects can be easily detected, and the display position)
- 2011-04-10 11:58:06下载
- 积分：1
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自适应EEMD程序加信号重构
包含：1、eemd程序2、自适应eemd程序3、自适应eemd程序加信号重构。(Contains: 1, eemd Program 2, Program 3 eemd adaptive adaptive eemd program plus signal reconstruction.)
- 2016-04-12 18:49:09下载
- 积分：1
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Matlab7.0
非常有用的学习资料，用它学习matlab，从入门到精通，面面俱到(Very useful learning materials, use it to learn matlab, from entry to the master, everything)
- 2008-04-17 17:06:40下载
- 积分：1
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lowpass
实现低通滤波器，可以与PRony分析搭配使用，滤除信号中的高频分量。(Low-pass filter used in conjunction with the PRony analysis to filter out high frequency components in the signal.)
- 2012-05-23 19:34:01下载
- 积分：1
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zonghe3
检查数据：如果某一组转速N下数据点少于5个点，给出提示：“数据点少不能绘制曲线”。
插值：每一条转速N线上的测量点个数可能不一样，按照测量点数最多的个数，将测量点少的数据插值成测量数据点最多一样的个数
( check data: If a group speed N under the data point is less than 5 points, hints: " The few data points can not draw a curve. The interpolation: each a speed N line, the number of measurement points may be different, in accordance with the maximum number of measurement points, the measurement point less data is interpolated to the measurement data points up the same number of)
- 2013-01-20 23:17:27下载
- 积分：1
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shujupinghua
模拟带噪声的匀加速直线运动，数据平滑，多个smooth函数的应用，简单易懂(Simulation with the noise of the constant acceleration of linear motion, data smoothing, multiple smooth function of the application, easy to understand)
- 2011-05-18 21:08:47下载
- 积分：1
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kalmanintroduction
In his 1960 famous publication (“A new approach to linear filtering and prediction problems”, Trans.ASME J. Basic Engineering., vol 82, March 1960, pp 34-45), Rudolf Kalman based the construction of the state estimation filter on probability theory, and more specifically, on the properties of conditional Gaussian
random variables. The criterion he proposed to minimize is the state vector covariance norm, yielding to the classical recursion : the new state estimate is deduced from the previous estimation by addition of a correction term proportional to the prediction error (or the innovation of the measured signal).
- 2010-07-08 02:26:01下载
- 积分：1
