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jinjin3
数据处理及误差分析采用了matlab软件来实现，它的界面虽然没有VB等直观简便，但其可调用的函数多，实现起来比较方便，程序中已经实现的功能有：
（1）求算术平均值；
（2）求残余误差（绝对误差）；
（3）求标准差；
（4）判断粗大误差，如果发现粗大误差,剔除粗大误差后再进行计算；
（5）判断数据是否具有线性误差或者周期性误差。
(Data processing and error analysis using matlab software to achieve, its intuitive interface, while not VB so simple, but its function can be called many realize it was easier, the program has been implemented features are: (1) Find the arithmetic mean (2) Find the residual error (absolute error) (3) Find the standard deviation (4) to determine gross error, if found to gross error, calculated after excluding gross error (5) to determine whether data has linear error or Periodic error.)
- 2010-07-13 20:36:57下载
- 积分：1
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NF
说明： this is a good code for newton-rafson
- 2011-01-03 17:18:21下载
- 积分：1
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Fault1_PCA
利用主成分分析方法，对TE模型产生的故障数据故障1进行故障检测(Using principal component analysis, on the TE model failure data generated by a fault detection fault)
- 2010-05-27 10:06:52下载
- 积分：1
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PN_LMS_ECHOcanceller
基于PN序列的数字直放站中回波抵消matlab实现代码，信号源采用OFDM调制信号，并有详细的注释说明，可以供大家参考借鉴(Digital repeater stations based on PN sequence in echo offset matlab code, signal source using OFDM modulation signal, and a detailed annotation, can for your reference)
- 2014-08-23 11:29:24下载
- 积分：1
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FourMethodsOfPeriodogramEstimate
非参数的功率谱估计包括四个，周期图法，Blackman-Turkey,Welch-Bartell,改进的周期图法，输入信号为白噪声通过切比雪夫滤波后的信号(Non-parametric estimation of the power spectrum consists of four, periodogram, Blackman-Turkey, Welch-Bartell, improved cycle diagram method, the input signal is white noise ratio of the signal by cutting Schiff filtered)
- 2013-12-10 19:41:14下载
- 积分：1
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simuzeta
zeta电路仿真
利用matlab/simulink对电路输出波形分析(the zeta circuit simulation matlab/simulink circuit output waveform analysis)
- 2020-11-30 15:49:27下载
- 积分：1
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edgefold
edge fold function in communication
- 2013-05-07 01:59:40下载
- 积分：1
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photoprocess
数字图象处理系统，使用MATLAB的GUI模块，可实现图象的直方图均衡、灰度化、二值化、缩放、边缘检测、增加噪声、图像变换、去噪等功能。使用时请将fig文件和m文件和图像放在一个文件夹内(photo process system,use matlab)
- 2009-05-22 12:02:41下载
- 积分：1
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KNN
Implement the K nearest neighbor algorithm by your own instead of using available software.
2. Use K-fold cross validation to generate training and testing datasets. You should try different K values (3~8) to see how they affect your result.
3. Train the classifier using your training dataset, and test the classifier using your testing dataset.
4. Repeat the experiment (Step 2 and Step 3) 30 times. For each time, you need to record the training data accuracy and testing data accuracy. Finally, you can obtain the average training data accuracy and average testing data accuracy.
- 2013-05-11 11:46:54下载
- 积分：1
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IM_1
Induction Machine modeling source Code:
without using simulink, these codes can numerically model th IM.
- 2009-06-03 15:47:14下载
- 积分：1
