work

说明：  BP神经网络预测,用于预测将来可能出现的情况，并给出警示。(PREDICTION OF BP ANN)

这是一个经典的形变模型实施,在一个单一的文件用简单的可以理解的代码。 功能包括两部分一个简单的弱分类器和一个促进部分: 弱分类器试图找到最佳阈值的数据维数对数据进行分离成两个阶级1和1 要求的进一步提高分类器部分迭代,每一步是变化分类权重miss-classified例子。这造成了一连串的“弱分类器”,表现得像一个“强大分类器” (This a classic AdaBoost implementation, in one single file with easy understandable code. The function consist of two parts a simple weak classifier and a boosting part: The weak classifier tries to find the best threshold in one of the data dimensions to separate the data into two classes-1 and 1 The boosting part calls the classifier iteratively, after every classification step it changes the weights of miss-classified examples. This creates a cascade of "weak classifiers" which behaves like a "strong classifier" . )

在Matlab配件过滤器测​ ​ 振幅响应资料使用invfreqz。(Fitting Filters to Measured Amplitude Response Data Using invfreqz in Matlab )

It is Simulink model for Double-sideband transmitter.

Demo showing the versatility of sound programs in Matlab computes the convolution of two sound signals, and plays a remixed version of Mary had a little lamb using the resulting signal.

说明：  MATLAB 仿真MLSE，DFE，FFE均衡效率比较。(MATLAB simulation of MLSE, DFE, FFE balance efficiency comparisons.)

利用remez设计rrc滤波器,通过迭代算法实现(use the remez to design rrc filter)

压缩感知的贪婪迭代算法，算法使用最小二乘估计来重构信号(Greedy iterative algorithm compressed sensing algorithms to reconstruct the signal using a least squares estimation)

芬兰作者提出的FastICA算法，用以解决盲源分离问题，我编写了一个主程序，调用其已经编写好的功能函数，可以查看仿真结果。(Finland FastICA algorithm proposed by the authors to solve the blind source separation problem, I wrote a main program, calling its already written performance function, you can view the simulation results.)

压缩感知代码！小波分析理论与MATLAB(Compressed sensing code! Wavelet analysis theory and MATLAB)