Lucas_Kanade

说明：  演示小球沿预定轨道滑动的matlab程序(Demonstration of small ball sliding along the orbit of the matlab program)

ac motor speed control simulation and text mmmmm nnnn nbbbb hhhh ddddd sssw wwww w ww w w w w w w w www

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)

多轴车辆全轮转向转向中心位置，转角比例以及最优控制反馈矩阵求法。(All-wheel steering)

这个是matlab下的全部时频分析在信号处理中的代码(this is the whole of Matlab time-frequency analysis in signal processing code)

DigSilent Powerfactory 14 Tutorial

用MATLAB作切比雪夫-1型低通滤波器设计(Using MATLAB for-1 Chebyshev-type low-pass filter design)

通信系统仿真以及应用详解，包括信源、编译码、调制解调...一应俱全。值得收藏。(Detailed simulation of communication systems and applications, including source, encoding and decoding, modulation and demodulation ... everything. Worthy of collection.)

基于Matlab环境编写的一些神经网络PID控制和模糊PID控制源代码，其中包含BP pid，CMAC PID,RBF PID，BP数值逼近算法，BP预测控制以及模糊PID。(Matlab-based environment for the preparation of a number of neural network PID control and fuzzy PID control of the source code, which includes BP pid, CMAC PID, RBF PID, BP Numerical approximation algorithm, BP predictive control and fuzzy PID.)

Local binary patterns for images