assign_2_a

动态模型参数的极大似然辨识及其MATLAB实现范例(Dynamic model parameters of maximum likelihood identification and implementation examples of MATLAB)

数字信号处理，很多种变换，可以直接在matlab中运行，很好用(Digital signal processing, it is a variety of transformations, can be run directly in matlab, very good use)

说明：  在MATLAB平台上，编译自适应算法的M文件，进行系统仿真，并对滤波器的阶数、收敛步长、跟踪速度和稳态误差进行了详细的分析和研究。( On the MATLAB platform, the M file is written and system simulation experiment is put on. The main parameters such as number of filter exponent, step-size, track-speed, errors and so on are discussed, that provided a solid foundation for the hardware realization of adaptive filters.)

吉它效果器-娃音器的滤波器分析,用MATLIB实现(Guitar effects- WAH sounds filter analysis using MATLIB achieve)

演变过程 自抗扰控制器自PID控制器演变过来，采取了PID误差反馈控制的核心理念。传统PID控制直接引取输出于参考输入做差作为控制信号，导致出现响应快速性与超调性的矛盾出现。(In the process of evolution, ADRC evolves from PID controller and adopts the core idea of PID error feedback control. Traditional PID control directly draws the output from the reference input as a control signal, which leads to the contradiction between response speed and overshoot.)

《精通matlab7》 电子工业出版社，王正林，刘明编著，原版光碟。()

说明：  四轮驱动电动汽车动力学理论与控制研究，电控方面很好的论文(Theory of four-wheel drive electric vehicle dynamics and control)

包括欧拉梁单元，杆件梁单元，Truss单元，边界处理等。可通用，里面有变量说明。详细可参考THE FINITE ELEMENT METHOD USING MATLAB(Euler beam element)

comfac算法是三线性模型常见的数据检测方法。它首先将三线性数据通过tucker3模型压缩，然后通过最小二乘的方法不断更新数据，直到收敛，得到估计值( The algorithm works by first compressing the data using a Tucker3 models. Subsequently the PARAFAC model is fitted to the compressed array, either initialized with DTLD (~ESPRIT) or with PARAFAC-ALS. The solution is de-compressed to the original space, and a few safe-guard PARAFAC-ALS steps are performed. Further optimization of this algorithm is possible, e.g. if the data are very large, if the profiles are very correlated or if the noise is huge. This 、 has not been pursued here, in order to have a generally applicable algorithm)

在信噪比不断变化，给出虚警概率的前提下，当给定一信噪比值后，检测概率的变化情况。(Signal-to-noise ratio changing, given the premise of the probability of false alarm, when given a signal-to-noise ratio values, the probability of detection of changes.)