1c-c

slam进阶学习，老外做的，很完善的东西，对于同时定位与地图创建的friend有很大的帮助（第二课）(err)

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

三相全桥可控整流电路的simulink仿真,改变触发角并通过示波器来观察线电流、负载输出电压和电流(three-phase full-bridge controlled rectifier simulink)

HHT变换的matlab代码，可以用来处理EEG信号，适用于睡眠分期(HHT transform matlab code, can be used to process EEG signals, there are imperfections wish to make your proposal)

包括主成分分析、因子分析、贝叶斯分析，采用的是通用的平面波展开法,合成孔径雷达（SAR)目标成像仿真。( Including principal component analysis, factor analysis, Bayesian analysis, Using common plane wave expansion method, Synthetic Aperture Radar (SAR) imaging simulation target.)

本程序针对一维的数据分析,并对其建立合适的马尔可夫模型(For one-dimensional signal set up an appropriate Markov Model)

matlab language study using matlab(matlab study)

广义最小二乘的算法结构，广义最小二乘递推的每一步用两步递推算法，先把噪声参数和模型参数均给个初值，然后第一步先假设噪声参数已知，用最小二乘估计出模型参数，第二步再用最新的模型参数来估计噪声参数，如此循环直到辨识精度达到指定要求或者可用数据用完为止(Generalized least squares algorithm structure, generalized recursive least squares every step of the two-step recursive algorithm, first noise parameters and model parameters to the initial value, then the first step is to assume that the noise parameters are known, with the smallestsquares to estimate the model parameters, and the second step, and then the latest model parameters to estimate the noise parameters, and so on until the identification accuracy specified requirements or available data is used up)

In machine learning, artificial neural networks (ANNs)

运用matlab进行席位分配的Q值分配求法(matlabzhong Qzhifenpei Qzhiqiufa)