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简单易懂的介绍最常用的UWB信号产生方法。(Easy to understand introduction to the most commonly used methods of UWB signal generation.)

MATLAB工具箱编写BP神经网络的非线性系统用于非线性函数拟合(Written MATLAB toolbox for nonlinear systems BP neural network for nonlinear function fitting)

说明：  基于置信传播算法和Viterbi检测的ISI信道估计，比较两种算法的性能(ISI channel is estimated based on the belief propagation algorithm and Viterbi detection, compare the performance of the algorithm)

一种求解基础矩阵的方法，matlab实现(Solving the fundamental matrix method, matlab achieve)

一个简单的调用matlab DWT函数进行离散小波变换的示例程序(A simple function call matlab DWT DWT sample program)

通过幅相误差存在的情况下MUSIC谱峰与未存在幅相误差时的比较，可以看出幅相误差对DOA估计还是有很大的影响。此程序中加入的幅相误差参数服从高斯分布(Through the case of amplitude and phase errors exist MUSIC peaks when compared with the amplitude and phase error does not exist, it can be seen amplitude and phase errors have a lot of influence on DOA estimates. Amplitude and phase errors of the parameters of this program by adding Gaussian distribution)

Matlab教学课程实例资料，仅供教学参考。(Matlab tutorial instance data, teaching and reference purposes only.)

This function implements kmeans clustering on an input RGB (m x n x 3) image.

Traditional single particle reconstruction methods use either the Fourier or the delta function basis to represent the particle density map. We propose a more flexible algorithm that adaptively chooses the basis based on the data. Because the basis adapts to the data, the reconstruction resolution and signal-to-noise ratio (SNR) is improved compared to a reconstruction with a fixed basis. Moreover, the algorithm automatically masks the particle, thereby separating it from the background. This eliminates the need for ad-hoc filtering or masking in the refinement loop. The algorithm is formulated in a Bayesian maximum-a-posteriori framework and uses an efficient optimization algorithm for the maximization. Evaluations using simulated and actual cryogenic electron microscopy data show resolution and SNR improvements as well as the effective masking of particle from background

数据挖掘中SVM算法实现（用MATLAB实现）(SVM data mining algorithm (MATLAB))