PF_MatLab

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)

sample code for image segmentation

this matlab program recognises the given telugu character and gives the corrsponding iscii code

基于DCT的信息隐藏算法，水印技术方面的，用matlab开发的(Information hiding algorithm based on DCT, the watermark technology, developed with matlab)

基于微分器的PD控制的源代码，需要的朋友看一看(Based differentiator PD control of the source code)

多种连续混沌系统及同步的仿真、混沌系统的离散化(A variety of continuous chaotic system and synchronized simulation discretization of chaotic systems)

说明：  基于PCA的人脸识别程序，可做学习用，是本人千辛万苦找到的，不错的！(PCA-based face recognition program, learning to do, is I worked extremely hard to find, good!)

matlab 的gui入门基础教程，适合初学者(matlab gui entry basis tutorial for beginners)

该程序利用空时二维自适应处理的原理，采用最优处理器的方法，对杂波矩阵进行处理，并能够绘制出二维杂波功率谱图，功率谱亮度图，特征谱图，二维频响图，以及最优化比较图(The program is the use of space-time two-dimensional adaptive processing principle, the optimal processor, clutter matrix processing, and be able to draw a two-dimensional clutter power spectrum, the brightness of the power spectrum diagram, characteristic spectra, two dimensional frequency response diagram, as well as the optimization Comparison)

fuzzy pid and pid with disturbance included