TheapplicationofMatlabinphrasecontrolledantennaarr

我搜集的一些关于无刷直流电机建模的文章,一共4篇都是写得比较好的。(I have collected some of the brushless DC motor model on the article, a total of four are well-written.)

参数化双谱估计,用语对参数进行估计.可以等同ARMA模型构造.可以()

matlab进行数字信号处理.经典最常用到的一些模块...对学数字信号的肯定有很大帮助...(matlab digital signal processing. The most commonly used in some of the classic ... of learning modules of the digital signal must be of great help ...)

fir滤波器，7、8、13、14，对信号进行alpha、betagamma滤波，调用方法 Hd = fir_alpha 滤波后信号 = filter(Hd,原信号) 得到的信号是时域信号，plot直接显示(Fir filter, 7, 8, 13, 14, alpha filter for signal method is called Hd = fir_alpha After filtering signal = filter (Hd, the original signal) Signal is time domain signals, the plot showed directly)

An algorithm for famous activities problem

说明：  在三维空间中画泡泡,可以指定在三维空间中的x,y,z的坐标以及泡泡的半径r和颜色c(RGB).(BUBBLEPLOT3(x,y,z,r), where x, y, z and r are four vectors of the same length, plots bubbles of radii r in 3-space with centers at the points whose coordinates are the elements of x, y and z. If r is a matrix of size numel(x)x3, BUBBLEPLOT3 produces ellipsoids with centers x(i),y(i),z(i) and radii r(i,1), r(i,2) and r(i,3). BUBBLEPLOT3(x,y,z,r,c), where c is a rgb-triplet array (in [0,1]) with numel(x) rows, plots bubbles with colours specified by c. )

转移矩阵法解任意势阱薛定谔方程的Matlab源程序，很适合该方法的学习。(transfer matrix method for solving schrodinger equation)

electric motor with torque speed control

多目标优化 相对传统多目标优化方法, PSO在求解多目标问题上具有很大优势。首先, PSO的高效搜索能力有利于得到多目标意义下的最优解 其次, PSO通过代表整个解集的种群按内在的并行方式同时搜索多个非劣解,因此容易搜索到多个Pareto 最优解 再则, PSO的通用性使其适合于处理所有类型的目标函数和约束 另外, PSO 很容易与传统方法相结合,进而提出解决特定问题的高效方法。就PSO 本身而言,为了更好地解决多目标优化问题,必须解决全局最优粒子和个体最优粒子的选择问题(Compared with the traditional multi-objective optimization of multi-objective optimization method, PSO in solving multi-objective problem has a great advantage. First, PSO is conducive to the efficient search capabilities are more objective sense of the optimal solution Secondly, PSO representative of the entire solution set through the population by way of the inherent parallel search multiple non-inferior solution, and this can easily search for the most number of Pareto optimal solution Furthermore, PSO' s versatility make it suitable for handling all types of objective function and constraints addition, PSO is easy to integrate with the traditional method, and then propose an efficient way to solve specific problems. The PSO itself, in order to better address the multi-objective optimization problems, the need to address the global best particle and the individual selection of the optimal particle)

MERCHEL教授研究声场合成时使用的源码，非常有参考价值，和大家共享一下(Professor MERCHEL occasion to study the use of sound source, a very valuable reference, and share what)