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streamfuncml
Code for solving the different functions and equations for the stream function wave theory. The package contains a few different code to solve for the different equations and variables.
- 2013-04-05 07:28:07下载
- 积分：1
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ode
用各种方法求解初值问题微分方程，并分析误差。(Use various methods to solve the initial value problem of differential equation, and the error analysis.)
- 2011-12-14 22:43:31下载
- 积分：1
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Input_filter
Module for filtering input digital signal
- 2015-03-05 16:53:07下载
- 积分：1
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dsjzb_peizhun
参数估计是图像处理的一个很重要的环节 将坐标转化为对数极坐标可以有效的实现参数的估计 (Image processing parameter estimate is a very important part of the coordinates into polar coordinates on the number of parameters can be estimated to achieve effective)
- 2011-01-17 18:31:22下载
- 积分：1
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ABmethod
Use Adams-Bashforth second-order method to solve a system of first-order ODEs y =f(x,y).
- 2020-07-01 07:40:02下载
- 积分：1
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DesignPatterns
this is a cours about the disgn pattern
- 2016-12-30 05:54:44下载
- 积分：1
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time-S-Pre
用于时间序列的去噪以及预测，基于独立成分分析的最小二乘时间序列方法。(Noising for time series and forecasting, time series least squares method based on independent component analysis.)
- 2013-11-28 12:15:29下载
- 积分：1
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541201
车牌定位 MICROSOFT FOUNDATION CLASS LIBRARY : TypeRec(License plate location MICROSOFT FOUNDATION CLASS LIBRARY: TypeRec)
- 2009-06-16 01:52:13下载
- 积分：1
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lms
通过对典型RLS与LMS信号（应器进行信号分析与处理仿真，结果表明，Matlab软件用于信号分析与处理是成功的。(Typical RLS and LMS signal (signal analysis and processing simulation results show that the Matlab software for signal analysis
And treatment is successful.)
- 2012-03-24 15:52:00下载
- 积分：1
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SVM_matlab
利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息，所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析，最终拟合的结果是：均方误差MSE=2.35705 e-005，平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。(Make use of SVM linear regression testing. For the market index can predict the observed changes in the stock market as a whole to provide a strong information, so it makes sense to predict the Shanghai index. Through the Shanghai Composite Index opened daily from 1990.12.20-2009.08.19 number of regression analysis, the results of the final fit are: mean square error MSE = 2.35705 e-005, the square of the correlation coefficient R = 99.9195 . SVM fitting result is quite satisfactory.)
- 2014-01-20 22:14:03下载
- 积分：1
