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电机控制matlab仿真模型，来源于某驱动公式，有一些库文件没有，但还是有很高的参考价值的(Matlab simulation model of motor control, from a formula-driven, there are no library files, but there is still a very high reference value)

说明：  A matlab code for computer generated hologram.

说明：  二分法检索（binary search）又称折半检索，二分法检索的基本思想是设字典中的元素从小到大有序地存放在数组（array）中， 　　首先将给定值key与字典中间位置上元素的关键码(key)比较，如果相等，则检索成功；(Dichotomy search (binary search), also known as binary search, the basic idea of ??dichotomy is set to retrieve the dictionary from small to large elements stored in an orderly array (array), the first key the given value on the middle element of the dictionary The key code (key) comparison, if they are equal, then the retrieval success )

MATLAB Codes of Adaptive Filter Theory 4th edition by Simon Haykin

说明：  该存储库包含雷达合成孔径雷达成像的软件模拟，包括线性调频（LFM，合成孔径雷达成像中使用的基本信号）、简单的点目标合成孔径雷达成像（您可以了解合成孔径雷达是如何工作的）以及实际数据处理（原始数据处理后获得图像）。(This repository contains the software simulation of Radar SAR imaging,including the Linear Frequency Modulation(LFM, basic signal employed in SAR imaging), the simple SAR imaging with Dots Targets(you may learn how SAR works), and finally the real data processing( An image is obtained after the processing of raw data.)

无线通讯系统的matlab仿真程序；主要包括同步，均衡，信道估计，调制解调(Wireless communications systems matlab simulation program mainly include synchronization, balance, channel estimation, modulation and demodulation)

风电叶片设计，利用Glauert公式计算诱导因子a，b(Glauert formula to calculate the induced factor a and b)

mat lab code .. applying pca on any matrix of matlab. feature vector will give the featuevector change the dimentional matrix

利用MATLAB自带的TIMER函数处理多个线程(TIMER own use of MATLAB function handle multiple threads)

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)