simulink

This is documentation of robot learning simulation

形成MVDR波束，并且计算数字序列的自相关矩阵(MVDR beam formation)

To support wireless communication : MIMO

simulink实现SVPWM调制,建立三相锁相环的设计和单相锁相环设计，保留必要的PI控制器等模块。(simulink realize SVPWM modulation, phase-locked loop is designed to establish a three-phase and single-phase locked loop design to retain the necessary PI controller modules.)

GSA优化算法，主要用于抽水蓄能电站参数优化和仿真。(GSA optimization algorithm, mainly used for pumped storage power plant optimization and simulation parameters.)

Acoustic Echo Cancellation using Adaptive LMS

功能描述： 小数延迟FIR滤波器，对参考阵元信号signal_ref进行 length(tau) M次延迟，分别得到M个阵元的采样信号 关键问题： 若τ 1.2Ts,则Delay(i) 2,tau_valid(i) 0.2Ts 若τ 0.6Ts,则Delay(i) 1，tau_valid(i) -0.4Ts 当tau_valid(i)>0或<0时，从卷积后的数据y_FIR_delay中取值启示位置不同 函数能够实现输入任意延时tau，输出信号波形与理想波形之间误差很小。( Description: fractional delay FIR filter array element of a reference signal signal_ref performed length (tau) M delay times, respectively, to obtain a sample signal array element M key question: if τ 1.2Ts, then Delay (i ) 2, tau_valid (i) 0.2Ts if τ 0.6Ts, then Delay (i) 1, tau_valid (i) - 0.4Ts when tau_valid (i)> 0 or < 0, the volume data y_FIR_delay product after the Enlightenment values at different positions function can be realized enter any delay error between tau, the output signal waveform and the ideal waveform is small.)

说明：  era函数，求频率，阵型，阻尼比,用于模态分析的数据处理，等等(era,frequency,damping ratio)

布尔萨、莫洛金斯基、武测模型的7参数解算(Bursa, Molodensky, seven model parameters measured Wu solver)

卡尔曼滤波算法是一种状态估计算法，它是最小二乘法的特殊形式，所以，卡尔曼滤波算法也能做系统辨识，这个代码是自己写的，基于卡尔曼滤波算法的系统辨识，希望对大家有用(Kalman filter algorithm is a state estimation algorithm, which is a special form of least squares method, so the Kalman filter algorithm can do system identification, this code is to write their own, based on Kalman filtering system identification algorithm, we want to useful)