signpost_recognize_fog

matlab教程 英文版 MATLAB_Primer_7th_Ed(matlab tutorial English version MATLAB_Primer_7th_Ed)

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)

水果图像识别,识别不同的水果，将图像进行特征检测，边缘提取，(Fruit and image recognition, recognition of different fruits, the image feature detection, edge extraction,)

粒子滤波的MATLAB源代码,内有5个独立源代码，带注解 (MATLAB source code particle filter, there are five independent source code, annotated)

说明：  MATLAB高级编程,MATLAB工程数学,MATLAB实用教程,MATLAB图形图像等源码集锦(MATLAB high-level programming, engineering MATLAB mathematics, MATLAB practical guides, such as MATLAB graphics source Collection)

说明：  非线性李雅普诺夫指数计算，PPT，大学教程，可用那个matlab编程计算(The nonlinear LYAPUNOV index)

水文时间序列 每旬的极端事件计算，该指标用于混沌计算前期处理(Hydrologic time series of extreme events is calculated every ten days, the index is used to calculate the pre-treatment of Chaos)

here some matclab code writtten by me and related on wireless sensor network are uploaded

讲用MATLAB画三维图像的，很实用。我想对大家肯定会很用(About three-dimensional image drawn by MATLAB, and very practical. I want to I am sure you will be using)

Optimization In cooperative spectrum sensing in Cognitive radio network