ROOT LOCUS

Finds motifs and the optimum width via Gibbs sampling. No toolboxes required.

matlab code for hmm understanding

需求预测算法,时间序列中移动平均算法.matlab编写,代码全. 待整理(Demand forecasting algorithm, time series moving average algorithm Matlab to write code for the whole to be processed)

相关分析过程的matlab方法，采用累计贡献率的方法，混沌的判断指标Lyapunov指数计算。( Correlation analysis process matlab method, The method of cumulative contribution rate Chaos indicator for Lyapunov index calculation.)

matlab下的离散系统仿真模型和相关事例,具有很好的参考价值(matlab under the discrete system simulation model and related stories are very good reference value)

matlat程序用于计算带金属覆层的一维光子晶体的反射率(procedures used to calculate the matlat metal cladding with the one-dimensional photonic crystal reflectivity)

降压Buck电路闭环matlab仿真，分享供大家使用(Buck Buck circuit closed-loop simulation matlab share for everyone to use)

通过 matlab 编程实现捷联惯导系统初始对准、惯导解算的全过程。 1）初始自对准：利用前10分钟实验车静止的数据进行惯导系统的自对准。采用前2分钟数据进行解析粗对准，后8分钟数据用五状态Kalman滤波器实现精对准；为了验证精对准性能，可在粗对准结果上把航向角人为加一定幅度（如10度）的误差，观察精对准的收敛性能。 2）纯惯导解算：对准结束后转入纯惯性导航解算，要求进行双子样的圆锥和划摇补偿，即每20ms完成一次导航解算，输出完整的导航结果包括三个姿态、两个水平速度和两个水平位置（天向通道发散不必输出），并给出姿态、速度、位置随时间的变化曲线以及位置误差曲线。(The whole process of initial alignment and inertial navigation solution of strapdown inertial navigation system is realized by matlab programming.)

说明：  BCJR算法是在Turbo码的译码中广泛使用的一种重要算法。程序实现了BCJR的具体译码方法。程序是MAP-LOG的实现算法。(BCJR Algorithm for Turbo decoding is widely used in a key algorithm. The specific procedures implemented BCJR decoding method. MAP-LOG program is the realization algorithm.)

A working setup that focuses on dimensional prediction of emotions from spontaneous conversational head gestures. It maps the amount and direction of head motion, and occurrences of head nods and shakes into arousal, expectation, intensity, power and valence level of the observed subject as there has been virtually no research bearing on this topic. Preliminary experiments show that it is possible to automatically predict emotions in terms of these five dimensions (arousal, expectation, intensity, power and valence) from conversational head gestures. Dimensional and continuous emotion prediction from spontaneous head gestures has been integrated in the SEMAINE project [