DIT_FFT_WAWS-for-tower

用Pisarenko谐波分解法估计一组实验数据的正弦频率及幅度。得出真实功率谱密度。(Pisarenko harmonic decomposition method with a set of experimental data estimate the sinusoidal frequency and amplitude. The true power spectral density obtained.)

face recognition uisng somme prsribed algorithms

说明：  原创_levinson_dubin递推算法，现代谱估计的一种算法(Original _levinson_dubin recursive algorithm, Modern Spectral Estimation Algorithm)

灰色预测模型，用于预测人口及各种预测模型(Gray forecasting model used to predict the population and various predictive models)

一个用于三相电源的Park变换的说明程序(Park conversion for three-phase power )

SecVibratPSO :用二阶振荡粒子群优化算法求解无约束优化问题 (SecVibratPSO: optimization algorithm for solving unconstrained optimization problems with second-order oscillating particle swarm)

针对传统α － β 滤波算法不够有效跟踪机动目标的问题， 详细分析了其内在原因， 提出一种改进的α － β 滤波算法。该算法不需要假定目标的机动模型， 而是将目标的机动加速度作为滤波状态直接估计出来， 将估计加速度作为输入控制量引入到传统α － β 滤波器的状态估计方程中进行机动目标的跟踪。然后将它与传统α － β 滤波算法进行比较， 证明了新的算法不仅具有传统算法计算量小的优点， 而且还可以对机动目标进行实时跟踪。仿真结果表明， 新算法在综合性能上明显优于传统算法。(In view of the problem that the traditional alpha beta filtering algorithm is not effective in tracking the maneuvering target, the internal reason is analyzed in detail, and an improved alpha beta filtering algorithm is proposed. In this algorithm, the maneuvering model of the target is not assumed, but the maneuvering acceleration of the target is estimated directly as the filter state, and the estimated acceleration is introduced into the state estimation equation of the traditional alpha beta filter to track the maneuvering target in the state estimation equation of the traditional alpha beta filter. Then compared with the traditional alpha beta filtering algorithm, it is proved that the new algorithm not only has the advantages of small computation in the traditional algorithm, but also can track the maneuvering target in real time. The simulation results show that the new algorithm is superior to the traditional algorithm in terms of comprehensive performance.)

模糊PID控制系统开发,大家可以自己的实际应用修改代码部分. 这个系统是二输入三输出的fuzzy pid控制(Fuzzy PID control system development, we can own part of the practical application of amendments to the code. The system is the second input and three output fuzzy pid control)

在传感器中数据采集后的椭圆拟合算法matlab编程实现(After the sensor data acquisition in the ellipse fitting algorithm matlab programming)

Most of the algorithms presented in the literature and in this chapter are basically intuitive and are intended to work with ECG signals in accepted clinical conditions, i.e. SNR higher than 18 dB.