boilerdigital

经典的使用Kalman filter的程序，快速掌握kalman的技术 (classic easy program for kalman filter)

matlab版水蒸气性质表 查询饱和蒸汽物性值(matlab version of steam-table query the nature of the value of saturated steam properties)

快速wds-map算法定位，对wds-map算法的改进。(Rapid WDS-map location algorithm, the WDS-map of the improved algorithm.)

说明：  收集的powerdesigner的物理数据模型资料(PowerDesigner collected information on the physical data model)

对图像进行arnold变换以实现图像之乱(great)

说明：  (1)按残差方差定阶，(2) AIC准则，(3)按残差白色定阶，(4)零点—极点消去检验定阶，(5)利用行列式比定阶，(6)利用Hankel矩阵定阶。课件为学习系统模型定阶的方法，希望对大家有用。((1) the residual variance given order, (2) the AIC criteria, (3) order determination of residual white, (4) Zero- Pole to eliminate test order determination, (5) use of a determinant than the fixed-order, (6)Hankel matrix order determination. Courseware for learning the method of the system model order and the hope that useful.)

说明：  提出的方法(DC-ADMM-P)采用了一种新的策略，即使用consensus ADMM来解决DC-DOPF-CET的对偶问题，而只揭示相邻子系统之间的边界分支信息。此外，通过减少双乘子的误码率和采用改进的乘子更新步骤，提高了DC-ADMM-P的收敛性能。(the ADMM-based distributed approaches disclose boundary buses and branches information among adjacent subsystems. As opposed to these methods, the proposed method (DC-ADMM-P) adopts a novel strategy which uses consensus ADMM to solve the dual of DC-DOPF-CET while only disclose boundary branches infor-mation among adjacent subsystems. Moreover, the convergence performance of DC-ADMM-P is improved by reducing the num-ber of dual multipliers and employing an improved update step of the multiplier.)

lingjian.m-----蒙特卡罗方法 lingjian.m使用零件初始值，用蒙特卡罗方法算出总费用。其中使用了自己编制的正态分布随机数发生器产生正态分布随机数。lingjian.m是对蒙特卡罗方法的一次练习。 accyouhua为标定值的函数，而lingjian不是一个函数，在其中已给出了一组标定值的值。 退火确定标定值/unitanneal()----模拟退火 连续型多个变量组合优化问题 这是对模拟退火方法的一次练习，结果证明模拟退火确实是一个行之有效的方法。 当参数选择较好时（一般也伴随着运行时间的加长），模拟退火的结果较好，然而用MATLAB的FMIMCON()一般可达到更高的精度。(lingjian.m----- Monte Carlo method lingjian.m part the initial value, using the Monte Carlo method to calculate the total cost. The use of the preparation of their own normal distribution random number generator to produce a normal distribution of random numbers. lingjian.m yes to the first practice of the Monte Carlo method. accyouhua calibration function, and lingjian is not a function, which has given the value of a set of calibration values​ ​ . Annealing to determine the calibration value/unitanneal ()---- Simulated Annealing Combinatorial optimization problem of continuous multiple variables This is a practice of simulated annealing method, the results show that simulated annealing is an effective method. Parameter selection is better (usually accompanied by longer running time) the results of simulated annealing, however the MATLAB FMIMCON () generally achieve higher accuracy. )

Texture classifier using wavelet and ANN

sir/mam,,pls prvide me some matlab codes