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fastica
国外、国内的最多的fastica程序，很好用，参数不用改，直接用默认的即可。(fastica)
- 2010-12-02 10:14:45下载
- 积分：1
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advisor2002
电动汽车动力性，爬坡性，续驶里程等性能仿真(The electric car performance simulation
)
- 2013-09-10 15:28:20下载
- 积分：1
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The-solution-of-nonlinear-equations
该例是个解非线性方程组的很有用的方法，解非线性方程组是个很大的难题。(The solution of nonlinear equations。and the solution is called muldNewton，and it is vary useful。
)
- 2011-11-07 17:24:41下载
- 积分：1
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dft
学习matlab的傅里叶变化小程序，没问题额(Fourier transform of small learning matlab program, the amount is no problem)
- 2011-09-27 08:31:13下载
- 积分：1
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Des2ktop
【谷速软件】二维图像Gabor滤波源代码 可以做为参考使用 ([Valley] speed two-dimensional image Gabor filtering software source code can be used as a reference to use)
- 2014-12-18 22:33:38下载
- 积分：1
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Archive
4) 创建一个名为Complex的类，进行复数的算术运算。复数的形式为：
realpart+imaginarypart*i
用浮点变量表示类的private数据。提供构造函数，能够对所声明的该类对象进行初始化。在不提供初始化值的情况下，该构造函数应包含默认值。针对以下功能，分别提供一个public成员函数。
（1）两个复数相加；
（2）两个复数相减
（3）用（a, b）的形式打印复数，其中a为实部，b为虚部。
(4) Create a class called Complex, and perform complex arithmetic operations. Plural form: realpart+imaginarypart* i said private data class with floating point variables. Provide a constructor, the object can be declared for the class is initialized. In the case do not provide initialization values, the constructor should contain default values. For the following functions, which provide a public member function. (A) two complex numbers (2) the subtraction of two complex (3) (a, b) in the form of plural printing, where a is the real part, b is the imaginary part.)
- 2013-12-18 15:14:46下载
- 积分：1
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PID_Simulink
PID控制的仿真,<<PID控制与应用>>课程的作业.SIMULINK格式(PID control of the simulation,)
- 2007-04-27 10:08:45下载
- 积分：1
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signal-process
信号检测很有用的参考资料，很全。非常适合自学者(signal processing ,good for newer)
- 2013-12-06 15:38:31下载
- 积分：1
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x1x5
基于状态空间的预测控制算法，可通过运行算法生成mpc预测控制器进行仿真(Predictive control algorithm based on State space can be generated by running the algorithm for simulation of MPC controller)
- 2016-01-07 22:42:46下载
- 积分：1
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Character-Recognition(Lib-SVM)
支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)
- 2011-05-22 08:57:15下载
- 积分：1
