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m_program
用matlab编写的压缩解压缩程序,基于小波变换的是零树算法。(prepared using Matlab compression decompression procedures, based on wavelet transform is zero tree algorithm.)
- 2005-06-09 09:25:00下载
- 积分:1
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PIDEquipment
对控制装置及仪表的控制系统进行仿真,并给出性能分析(Control devices and instrumentation control system simulation and performance analysis is given
)
- 2011-07-09 22:03:38下载
- 积分:1
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MTD
多普勒滤波器的具体实现方式和最优滤波器与加权滤波器的设计,资料十分齐全,与利于对动目标显示的具体深入理解。(all kinds of MTD filter design)
- 2011-12-05 19:06:12下载
- 积分:1
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QPSKTransmitterandIQCorrelationReceiver
QPSK的MATLAB仿真,仅供大家学习(QPSK the MATLAB simulation, for everyone to learn)
- 2007-08-28 17:35:14下载
- 积分:1
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matlabfz
simulink命令集(仿真命令
线性化和整理命令
构建模型命令
封装命令
诊断命令
硬拷贝和打印命令:
)(Simulink command set (linear simulation orders and orders finishing order Packaging Model Construction orders diagnosis Order hard copy and print orders :))
- 2007-05-06 08:43:55下载
- 积分:1
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siftDemoV4ofMatlab
matlab版SIFT算法演示程序,简洁易懂易用,实际算法部分用C来实现(SIFT algorithm demo program of matlab version)
- 2012-06-10 22:19:03下载
- 积分:1
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图像RGB颜色矩提取matlab程序
GetColorMoment
图像RGB颜色矩提取matlab程序,有注释,有需要的拿去(Image RGB color moments extraction procedures, there is a comment)
- 2014-08-15 13:10:45下载
- 积分:1
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Desktop
topsis这种的向量归一化问题,实用性(topsis this vector normalized)
- 2012-07-18 22:01:22下载
- 积分:1
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code-for-maximum-likelihood-filter
Rayleigh Maximum likelihood estimation based filter for speckle noise removal.Along with that modification done in RMLE filter with respect to homogenous mask area rotating kernel filter.
- 2012-10-30 21:30:54下载
- 积分:1
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otsu
OTSU Gray-level image segmentation using Otsu s method.
Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes
by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection
Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern.
9:62-66 1979). Thresholds are computed to maximize a separability
criterion of the resultant classes in gray levels.
OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the
corresponding Iseg is therefore a binary image. The pixel values for
Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ...
[Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability
criterion within the range [0 1]. Zero is obtained only with images
having less than n gray level, whereas one (optimal value) is obtained
only with n-valued images.
- 2009-03-17 17:57:51下载
- 积分:1