prbs.m

智能天线中CAPON最小方差法、DOA估计算法、延迟相加法的MATLAB实现(Smart Antenna CAPON minimum variance method, DOA estimation algorithm, the delay additive method of MATLAB Implementation)

使用matlab.m文件编写的画图程序，包括多条曲线的颜色设置、坐标设置、刻度设置、legend设置、以及图中的标注设置源代码。(The the Paint program using matlab.m documentation, including multi-curve color settings, coordinate setting scale settings, legend settings, as well as labeling settings in the source code.)

可实现银行排队论mmm，输出随机数matlab实现计算机模拟排队论(Bank of queuing theory can be realized mmm, the output random number matlab computer simulation of queuing theory to achieve)

Add for matlab.Can do orienting plus shraping.

Prima dijkstry algorithm in matlab.

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

Matrix determinant from plu

遗传算法是计算数学中用于解决最佳化的搜索算法，是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的，这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题，一定数量的候选解（称为个体）的抽象表示（称为染色体）的种群向更好的解进化。(Genetic algorithm is used to solve computational mathematics in optimizing search algorithm, an evolutionary algorithm. Evolutionary algorithm was originally borrowed evolutionary biology and developed a number of phenomena, these phenomena, including genetics, mutation, natural selection and hybridization. Genetic algorithms are usually implemented as a way of computer simulation. For an optimization problem, a number of candidate solutions (called individuals) abstract representation of the population (called chromosomes) to better solution evolution.)

針對單輸入與雙輸入模糊溫度控制系統，以C語言程式分別實現(For single-input and two-input fuzzy temperature control system to realize, respectively, C language programs)

matlab中的notebook工具是连接matlab和论文写作的重要工具，本文档摘录了设置方法(The notebook is connected to the matlab and thesis writing important tools in this document excerpt set)