Bus-suspension-control-in-matlab

LMS算法和NLMS算法的比较。模拟的是回声消除。但没办法消除回声，只能做有限的处理。(LMS algorithm and NLMS algorithms. Simulate the echo cancellation. But no way to eliminate echo, can do only limited processing.)

a file for fft (fast Fourier transform)

所有关于Leach协议Matlab仿真都可运行，(Matlab simulation of all on the Leach agreement can be run)

本人写的用MATLAB实现卡尔曼滤波，希望大家指导(I write MATLAB Kalman filtering, we hope guidance)

IIR RLS algorithm demo

nutrient prediction for baby. this function can predicted baby nutrient with 90 accurated

参考别人的水平集方法检测图像，供大家交流学习(Others reference level set method for detecting the image, for the exchange of learning)

提出的蚱蜢优化算法（GOA）在数学上模拟和模拟蚂蚁群体在自然界中的行为以解决优化问题。(The proposed Grasshopper Optimisation Algorithm (GOA) mathematically models and mimics the behaviour of grasshopper swarms in nature for solving optimisation problems.)

在机动目标跟踪中，机动目标模型是机动目标跟踪的基本要素之一，一般希望机动目标模型能准确表征目标机动时的各种运动状态。比较常用的模型有匀速运动(CV)模型、匀加速运动(CA) 模型、时间相关模型（Singer）和机动目标“当前”统计模型。上述模型均采用机动频率表征目标的机动情况。在应用当中，通常采用固定的机动频率，这就表示机动目标的机动时间是一定的，而实际上机动目标的机动时间是不断变化的，也就是说机动频率是不断变化的，采用固定机动频率必然会带来误差。采样周期在0.5—2S时，机动频率越小跟踪精度越高[1]，但机动频率仍然是固定值。本文提出的基于神经网络的机动频率自适应调整方法可以使机动频率随机动而变化，从而提高状态估计的准确性，提高跟踪精度。本文将小波神经网络用于机动目标跟踪中机动频率的自适应调整，该算法对机动目标“当前”统计模型中的机动频率进行实时修改, 从而自适应的改变机动频率,使跟踪算法与目标的真实状态更接近。该算法采用小波神经网络的离线训练，实时性好。(The maneuver of the maneuvering target is uncertain. The maneuvering frequency is constantly changeable, but traditionally it is beforehand determined as a constant based on the target state estimation in the state model of the maneuvering target. The maneuver of the maneuvering target makes the kinematics equation of the target model mismatch with the practical motion model and the tracking error will be increased. Based on the advantages of the self-learning, the rapid convergence rate and the nonlinear approximation ability of the wavelet neural network, it was put forward to be used in the field of target tracking in the paper. The new residual is used as the input of the wavelet neural network, the output of the network is used to adjust adaptively the maneuvering frequency of the CS model. The algorithm is more close to the real state of the target. The simulation results showed that tracking error can be reduced and the tracking accuracy can be improved.)

说明：  求模极大值的程序MATLIB源码,可以用此方法来判断时间序列的奇异点,并根据它来恢复信号.(modulus maxima for the procedure MATLIB source, you can use this method to determine the time sequence of singular point, and according to restore its signal.)