matlab-programming

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)

biomedical stuffs...

说明：  该程序在MATLAB环境下编译，用于重构一维时间序列的相空间轨迹，并找出最佳的重构延迟步长或时间。(The program compiled in MATLAB environment for the reconstruction of time series of one-dimensional phase space trajectory, and the Reconstruction of the best step length or time delay.)

Articulo de Josh Smith, sobre como extraer imagenes embebidas en ficheros

语音信号````````````````DOA检测( directiong of array)

数值计算方法中求解方程根的算法 亲测可用 附带注释 MATLAB源程序( root-finding)

this is KMedoids clustering algorithem.

多输入多输出的模型预测控制，针对化工多输入多输出系统设计的模型预测控制(Multiple-input multiple-output model predictive control)

在matlab中运行可以生成高斯随机粗糙表面，可以作为粗糙面模拟的准备工作。(Run in matlab can generate Gaussian random rough surface, rough surface can be used as an analog preparations.)

自适应的LMS算法，MUSIC算法的matlab仿真。(Adaptive LMS algorithm: matlab simulation of MUSIC algorithm)