mp2d

matlab code for NMDL

cognitive radio system matlab simulation

无刷电机的仿真模型，取合适的参数，模型仿真结果很逼真,(Simulation model of the brushless motor, take the appropriate parameters, the model simulation results are realistic,)

说明：  MGM(1,1)模型预测及精度检验，可直接使用(MGM (1,1) model prediction and accuracy test can be used directly)

this is solar cell matlab prog

In this section, the PAPR performance of the proposed algorithms is shown. To evaluate the PAPR performance, the CCDF is employed. The specification detail of simulation parameters is given in TABLE I. In Fig. 5 is shown the PAPR with a PTS method (U = 8) and conventional PTS (U = 4) are improved 4.3 dB and 2.6 dB from ordinary MIMO-OFDM signal when CCDF = 10− 4 respectively and Fig. 6 is shown the PAPR with an optimal PTS method in case of 128 subcarriers.

基于循环前缀的同步链路，包括调制解调等流程(Cyclic prefix based synchronization link, including the modulation and demodulation process)

说明：  模糊算子5种方法，应该有点用吧。能求出综合评价(There are 5 ways of using fuzzy operators. We can figure out the comprehensive evaluation)

用matlab编程实现MIMO中Alamouti算法，2个发射天线2个接收天线(fullfill Alamouti algorithm in MIMO(2X2) using matlab)

首先从n个数据对象任意选择 k 个对象作为初始聚类中心；而对于所剩下其它对象，则根据它们与这些聚类中心的相似度（距离），分别将它们分配给与其最相似的（聚类中心所代表的）聚类；然后再计算每个所获新聚类的聚类中心（该聚类中所有对象的均值）；不断重复这一过程直到标准测度函数开始收敛为止。一般都采用均方差作为标准测度函数. k个聚类具有以下特点：各聚类本身尽可能的紧凑，而各聚类之间尽可能的分开。(First, a data object from the n choose k objects as initial cluster centers and for the rest of the other objects, according to their similarity with the cluster center (distance), respectively, assign them to their most similar (represented by cluster center) clustering then calculated for each cluster center received a new clustering (all objects in the cluster mean) repeats this process until the convergence criteria begin until the measure function. Standard deviation is generally used as a standard measure function. K a cluster has the following characteristics: the cluster itself as a compact, but separated as much as possible between each cluster.)