GA

动态PLS算法的matalb实现，是非常好的初学者入门资料(Matalb dynamic PLS algorithm implementation is very good information for beginners)

一种最大Lyapunov指数的改进算法，以交通流混沌判别为例(Improved algorithm for maximum Lyapunov exponent, for example in order to determine the chaotic traffic flow)

对受迫振动的非线性系统碰撞仿真，适合相关人员交流学习。可以针对不同刚度，频率，间隙进行调整。(Collision simulation of forced vibration of non-linear system is suitable for related personnel to communicate and learn.)

说明：  此程序是OCCAM2D反演程序，可用于大地电磁法中进行二维反演。(This program is occam2d inversion program, which can be used for two-dimensional inversion in magnetotelluric method.)

I have included a code to generate 3d model of DEM in Matlab. It also has the DEM data.

说明：  MATLAB实现Ovsf扩频解调，WCDMA(MATLAB implementation Ovsf Spread)

说明：  vitebi算法的程序， 用C语言实现。(vitebi algorithm procedures using C language.)

说明：  设计一个原型滤波器，以此为基础，可以设计出很好的滤波器组。(Design a prototype filter, as a foundation, you can design a good filter.)

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)

sobel edge detector using matlab