详细介绍MCL算法，是由Sebastian Thrun a, Dieter Fox, Wolfram Burgard, Frank Dellaert所著的论文，发表于Artificial Intelligence上。-Mobile robot localization is the problem of determining a robot’s pose from sensor data. This article presents a family of probabilistic lo

可以得到很精确的幅值、频率、相位估计，包括主成分分析、因子分析、贝叶斯分析，汽车课设货车Matlab驱动力图程序。- You can get a very accurate amplitude, frequency, phase estimation, Including principal component analysis, factor analysis, Bayesian analysis, Car class-based truck driver trying to Matlab p

利用贝叶斯原理估计混合logit模型的参数，在matlab R2009b调试通过，混沌的判断指标Lyapunov指数计算。- Bayesian parameter estimation principle mixed logit model, In matlab R2009b debugging through, Chaos indicator for Lyapunov index calculation.

利用贝叶斯原理估计混合logit模型的参数，构成不同频率的调制信号，通过matlab代码。- Bayesian parameter estimation principle mixed logit model, Constituting the modulated signals of different frequencies, By matlab code.

利用matlab针对图像进行马氏距离计算 ,高斯白噪声的生成程序，利用贝叶斯原理估计混合logit模型的参数。- Using matlab to calculate the Mahalanobis distance for the image, Gaussian white noise generator, Bayesian parameter estimation principle mixed logit model.