sheffield_gatbx

matlab源代码 主要是进行有限元计算的(matlab source code is mainly carried out finite element calculations)

matlab画圆形，然后四周涂成其他颜色--换言之，可以画出口面场的分布情形，非常形象逼真(matlab draw round, and then painted the other colors around- in other words, can draw the distribution of farm export side, a very vivid)

实现点对点的迫零、最小均方误差和奇异值分解的预编码(point-to-point pre-coding including ZF,MMSE,SVD.)

this is the qr code gen code

平面桁架和刚架的有限元计算程序，能计算指定个数的桁架和刚架(Plane truss and frame of the finite element program, to calculate the number of truss and frame specified)

matlab code for example 3-4 adaptive control astrom

The code assembles various member stiffness matrices of a Q-4 element

说明：  也在找关于这方面的资料着~~我是有matlab程序，但是在Java里没法触发调用它~~ 付上matlab程序，有需要的自己拿吧。 function BinaryIntegerProg(f_file_name, A_file_name, b_file_name, Aeq_file_name, beq_file_name,write_file_name) f = load(f_file_name) A = load(A_file_name) b = load(b_file_name) Aeq = load(Aeq_file_name) Beq = load(beq_file_name) x = bintprog(f, A, b, Aeq, beq) fp = fopen(write_file_name, w ) fprintf(fp, d\n ,x) fclose(fp)(good daima!)

该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。(The algorithm used for autoregressive input model, it is a kind of iterative algorithm. The basic idea is based on data to conduct a filtering processing, after using ordinary least square method to identify the data filter, and then obtain unbiased consensus estimates. But when the process output signal-to-noise ratio is larger or model parameters are too, this kind of data white processs reliability will drop, identification results tend to be biased estimate. Data should fully, otherwise the identification accuracy down. Model order time shoulds not be too high. Initial value to identification results have great influence on.)

三相逆变桥【做的有点渣，请见谅【二十字二十字二十字二十字(Three-phase inverter bridge)