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matlab-in-bearing-fault-diagnosis
说明： 在机械故障诊断中，采集数据和进行信号处理，利用MATLAB实现滚动轴承的状态监测(Mechanical fault diagnosis, data collection and signal processing, using MATLAB to achieve the status of monitoring of rolling bearings)
- 2011-03-02 13:50:59下载
- 积分：1
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rayleigh_fading
对无线通信信道中的瑞利衰落进行MATLAB仿真(of wireless communications channel for the Rayleigh fading MATLAB simulation)
- 2006-05-23 16:36:11下载
- 积分：1
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boil
对于蒸发冷凝的相变UDF，给与大家参考,希望与大家多多交流(For evaporation condensation phase transition UDF, give your reference)
- 2013-12-09 23:14:08下载
- 积分：1
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median-filter-matlab-source-code
matlab中值滤波源代码，对于图像处理的人员有一定的参考意义。。(median filter matlab source code for image processing personnel have some reference value. .)
- 2013-12-11 15:16:58下载
- 积分：1
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2ask
2ask的调制解调，包括相干解调和非相干解调，并有两者的性能分析(2ask modem, including coherent demodulation and non-coherent demodulation, and performance analysis of both)
- 2015-04-02 09:42:29下载
- 积分：1
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ADC15_Matlab
sigma-delta ADC的信噪比等的计算(the calculation of SNR、SNDR and so on of sigma-delta ADC)
- 2009-11-06 20:06:01下载
- 积分：1
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synthesize_sgy
代码为本人为写毕业论文，编写的几个合成地震记录的代码，包括cdp道集，共炮点道集以及一个简单的一层的地质模型对应的合成地震记录。(Man-made code-based write theses, prepared by several synthetic seismogram code, including cdp gathers a total of shot gathers, as well as a simple layer of the geological model of the corresponding synthetic seismogram.)
- 2007-07-17 21:42:50下载
- 积分：1
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HarmonicSpring
this is a mass-spring system that show the animation of mass on vertical spring by changing the initial values
- 2010-12-26 06:15:13下载
- 积分：1
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yuzhi
基于阈值的脑磁共振图像分割，其中的所有代码。(Brain magnetic resonance image segmentation based on the threshold, all code.)
- 2012-12-30 10:14:52下载
- 积分：1
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ExtendedKalmanFilter
Extended Kalman Filter Tracking Object in 3-D(Assume that we want to track an object moving in 3-D space with constant velocity. Our instruments observe bearing, range and high(cylindrical coordinates). However, of an interest are rectangular coordinates. Since transformation is non-linear this requires use of extended Kalman filter.
Because transformation is non-linear between X,Y and Range,Bearing and linear between Z and high(Z is height), this problems serves as a good comparason of how well extended Kalman filter can perform. By comparing its linear estimation error in Z to non-linear estimations in X and Y, we can judge how non-familiarities effect estimation. )
- 2012-05-14 22:14:04下载
- 积分：1
