psk_16_awgn_rs

灰色gm(1,1)模型，当做函数可以调用，中间注释写得很详细，稍加修改即可成为灰色系统中别的算法。(Gray gm (1,1) model, as a function can call the Notes between very detailed, a little modification to the system as a gray-level algorithm.)

communication project with matlab.

遗传算法 求下列函数的最大值 obj(x)=x.*(10-x).*sin(2*pi*x), xin[0,10].(Optimization problem by genetic algorithm of a function obj(x)=x.*(10-x).*sin(2*pi*x), xin[0,10].)

this is a matlab function that can be given to the genetic algorithm tool box to chose the best 10 positions of 1 s beside the original 6 in the upper left corner 1 s in the dct quantization matrix

实现聚类K均值算法： K均值算法：给定类的个数K，将n个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。 缺点：产生类的大小相差不会很大，对于脏数据很敏感。 改进的算法：k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心 的作用，这样的一个medoid就标识了这个类。步骤： 1，任意选取K个对象作为medoids（O1,O2,…Oi…Ok）。 以下是循环的： 2，将余下的对象分到各个类中去（根据与medoid最相近的原则）； 3，对于每个类（Oi）中，顺序选取一个Or，计算用Or代替Oi后的消耗—E（Or）。选择E最小的那个Or来代替Oi。这样K个medoids就改变了，下面就再转到2。 4，这样循环直到K个medoids固定下来。 这种算法对于脏数据和异常数据不敏感，但计算量显然要比K均值要大，一般只适合小数据量。(achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n will be assigned to target K to 000 category, making target category of the similarity between the largest category of the similarity between the smallest. Disadvantages : class size have no great difference for dirty data is very sensitive. Improved algorithms : k-medoids methods. Here a selection of objects called mediod to replace the center of the above, the logo on a medoid this category. Steps : 1, arbitrary selection of objects as K medoids (O1, O2, Ok ... ... Oi). Following is a cycle : 2, the remaining targets assigned to each category (in accordance with the closest medoid principle); 3, for each category (Oi), the order of selection of a Or, calculated Oi Or replace the consumption-E (Or))

宽带天线的表面电流，辐射功率和方向图的计算，包含频率扫描(wideband antenna: surface currents,radiation pattern and the calculation of power, including the frequency sweep)

说明：  un ejemplo de contar caracteres en leng ensambalador

erbium dopped fiber amplifier with length

信号相干时MUSIC算法与改进MUSIC的比较仿真源代码(Signal coherence between MUSIC algorithm and improved MUSIC simulation source code)

bpsk bit and symbol generation