ditonglvboqi

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)

说明：  自适应滤波器代码，适用于研究生阶段数字信号处理课程。(Adaptive filter code, suitable for the postgraduate stage of digital signal processing courses. )

motor dc control whith matlab

图像的光流法计算的matlab程序,计算多重分形非趋势波动分析，基于人工神经网络的常用数字信号调制。( Image optical flow calculation matlab program, Calculate the multifractal trend fluctuation analysis, The commonly used digital signal modulation based on artificial neural network.)

2009 Multimedia GroupT 工程师学院全英文教程，详细讲述了声音和图像两部分，此部分为（上）。(2009 Multimedia GroupT Engineers in English tutorials, detailed account of the sounds and images of two parts, this part is (above).)

一种使用边缘检测方法进行的图像分割算法程序，改程序算法简单效果也不错，初学者可以使用(A kind of using edge detection method for image segmentation algorithm procedures, change program algorithm is simple the result is right also, beginners can use)

matlab五子连珠小游戏，回味经典，简单易学(Matlab Five game, a classic, easy to learn)

基于matlab的新型信号处理算法集。包括模拟退火、遗传算法、反向传播神经网络、小波变换等等，对于统计信号处理很有参考价值。(Matlab based on a new type of signal processing algorithms. Including simulated annealing, genetic algorithm, back-propagation neural network, wavelet transform, etc., for statistical signal processing useful reference value.)

FAST ICA，fast independent component analysis，用于分解独立的component(FAST ICA, fast independent component analysis, independent component used to decompose)

fun with arrays and learning