multiscaledbased

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)

a file i uploaded, if you want more, come and get it

filtre active parallèle pour la qualité d énergie

这时一个电磁场仿真程序，使用Matlab，编写了TM波的二维仿真程序，用FDTD方法(This is a simulation about two-dimensional of TM using the FDTD method)

将图片数据格式转为avi视频数据格式的源码，绝对好用，内附数据及程序。程序内有详细的解释。(The image data format to avi format video data source, absolutely easy to use, containing data and procedures. Program with detailed explanation.)

newmark b 方法计算地震动反应谱(Newmark b method to shock response spectrum)

采用非线性动态逆与全程滑模变结构控制相结合的思路，建立了一类具有不确定性和外界干扰的仿射非线性系统的强鲁棒性控制策略。(A robust controller design combining the dynamic inversion method and global sliding-mode variable structure control for a class of uncertain affine nonlinear systems is considered.)

本程序是用matlab编写的瞬时频率估计，供参考学习！(This program is written in matlab instantaneous frequency estimation for information to learn!)

bpsk modulation matlab code

说明：  基于Philipp Steurer源码上改进的线性预测编码，共大家参考(An improved voice-excited LPC that can output better speech quality。)