costw207channelmodel

神经网络的实例 ，用于图象的处理和模式识别(examples of neural networks for image processing and pattern recognition)

MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster than with traditional programming languages, such as C, C++, and Fortran. You can use MATLAB in a wide range of applications, including signal and image processing, communications, control design, test and measurement, financial modeling and analysis, and computational biology. Add-on toolboxes (collections of special-purpose MATLAB functions, available separately) extend the MATLAB environment to solve particular classes of problems in these application areas. MATLAB provides a number of features for documenting and sharing your work. You can integrate your MATLAB code with other languages and applications, and distribute your MATLAB algorithms and applications.

MATLAB辅助小波分析与应用,讲的还是非常好的。(MATLAB Wavelet Analysis and Application of Auxiliary)

仿真实现了MUSIC、Beamformer、Capon功率谱，并未实现线性预测功率谱估计（未找到方法）。由实验结果我们可以得出结论MUSIC的估计效果最好，它可以区分800、850处来波，其他角度也可区分。(Simulation of MUSIC, Beamformer, Capon power spectrum, did not realize the power spectrum estimation linear prediction (not way to find). From the experimental results, we can draw the conclusion MUSIC best estimate of the effect, it can be distinguished to wave at 800, 850, other angles can also be distinguished.)

Compare FDM and FEM method in 1D

Conical flow field solver

APM飞控程序，Ardupilot3.2.1(Flight control program of the APM, Ardupilot3.2.1 )

自编的奇异值分解消噪程序，在消噪的同时可实现对不同频率信号分量的分离。(Own the singular value decomposition de-noising procedure, de-noising can be achieved at the same time on different frequency signal component separation.)

simple code for inserting the pilots

基于模型的压缩感知工具箱，MATLAB代码，内有相关文章(This package contains Matlab implementations of various CS recovery algorithms that have been developed using the framework described in the above paper。Each folder in the package essentially consists of a CS recovery algorithm based on a particular signal model, and a script that tests that recovery algorithm.)