Two-dimensional-matlab-simulation

经典书籍《通信系统仿真原理与无线应用》配套源代码，用MATLAB编写的(classic books "communications system simulation and wireless applications principle of" complementary source code, prepared by using MATLAB)

curvature test for fitting model.

Distance between two lines

A. Fusion at the Feature Extraction Level The data obtained from each sensor is used to compute a feature vector. As the features extracted from one biometric trait are independent of those extracted from the other, it is reasonable to concatenate the two vectors into a single new vector. The primary benefit of feature level fusion is the detection of correlated feature values generated by different feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy [14]. The new vector has a higher dimension and represents the identity of the person in a different hyperspace. Eliciting this feature set typically requires the use of dimensionality reduction/selection methods and, therefore, feature level fusion assumes the availability of a large number of training data.

产生shepard tone，用matlab(Produce shepard tone, using matlab)

OFDM中的关于快速傅立叶变换的个人设计的MATLAB的算法，比较经典的 ！(OFDM on the Fast Fourier Transform personal design MATLAB algorithm, more classic!)

神经网络，用于神经网络的机理模型和建立经验模型．(neural network, for the mechanism of neural network models and model building experience.)

本代码用matlab编写Runge-Kutta算法程序，并且用ode45函数的编写代码进行对比分析。(The code is written using Runge-Kutta algorithm matlab program, and were analyzed by writing code ode45 function)

用matlab简单实现傅里叶变换的源程序(Easy to use matlab implementation of the Fourier Transform source code)

Resolution of the Cronig-Penney s predator and victim problem wrote in Matlab v6.5.