CADApps

基于MATLAB的霍夫曼编码。包括MATLAB界面下生成的结果图。程序较C语言易懂，由于在MATLAB下实现，程序简洁。(Huffman coding based on MATLAB. Including the MATLAB interface to generate the results of Fig. Procedures easy to understand language than C, because under MATLAB, the program simple.)

soft reed solomon decode matlab

基于MATLAB的岩体地质2维结构面网络模拟代码。(Based on MATLAB rock geological 2-dimensional network simulation code.)

matlab code for Electromagnetic Waves & Antennas Toolbox

降低OFDM峰均功率比的硕士优秀论文，内容比较全面，值得参考(Reduced OFDM PAPR outstanding master s thesis, content more comprehensive, it is also useful)

考虑L的三个不同值：L＝256（3个数据段），L＝128(7个数据段)和L=64（15个数据段）。各自的谱估计图如上图所示。可以明显的看到，加窗明显的减小了频谱上的假谱峰，但也更加进一步平滑了谱峰。所以，对于L＝64的情况，在ω＝0.8π的谱线可以很确定的辨认，但是那两个靠近的谱峰不容易区分。对于L＝128的情况，这种情况提供了在分离和检测间最好的均衡。当然，对于在L＝256时的情况，效果是更好的，能够从谱估计图上明显的分辨出三条谱线的存在以及它们幅度关系的强弱。 除了Welch法外，还可以采用对多个周期图求平均的功率谱估计方法的其他方法如Bartlett法等等，在功率谱估计上也能取得较好的结果。(consider three different values : L = 256 (3 data), L = 128 (7 data) and L = 64 (15 data). Their spectral estimation map as shown in Fig. It is clear to see that increase significantly decreasing window of the spectrum of false peaks, but much more to further smooth the peaks. Therefore, L = 64, in the case = 0.8 spectrum can determine the identification, but that the two peaks around is not easy to distinguish. L = 128 for the situation, which provided the separation and detection among the best balanced. Of course, L = 256 in the case, the effect is better, from the spectral estimation map clearly distinguish between the three lines of the existence and their relationship to the rate of strength. In addition to Welch law, but also can be used to map multiple cycle for the average power)

EMD算法，经验模态分解，信号处理与分析方面用到，算法很简单，中文(EMD algorithm, the empirical mode decomposition, signal processing and analysis used, the algorithm is very simple, Chinese)

本代码是对Henon 映射的编写及恢复，可以完成一定大小的图像处理。(This code is written and recovery Henon map, you can complete a certain size of image processing.)

detection defect for tiles pinhole use matlab function

A program written for PSO