Section_3_ZF_homogeneous_MISO

说明：  对原始的EZW算法德扫描顺序进行改进，使得每个方向上的零树根增多，大大增加了压缩率。(EZW algorithm on the original scan order to improve Germany, so that each direction of the zero roots increased, greatly increased the compression ratio.)

simulation on the iterative method on MIMO ssyetem

对数据进行reof处理，得到数据的空间模态和时间系数(Matlab function of reof)

说明：  小世界网络路径求法，以及聚集度的求法，开发环境是matlab(small world)

QPSK是通信信道中一种很好的调制方式，对于其性能参数进行了仿真，信道以及噪声选择可以根据代码自由改动。对学习无线编码很有用处。(QPSK is a good communication channel modulation, the performance parameters for the simulation, channel and noise free choice can be altered according to the code. Learning wireless encoding useful.)

线性调频连续波测距测速仿真雷达与恒虚警检测(lfmcw cfar)

LPC sample code 5 matlab

matlab入门到提高，全面讲解了matlab的使用(Introduction to matlab improved overall on the use of the matlab)

BP神经网络预测公路运量 1.问题的描述 公路运量主要包括公路的客运量和公路货运量两个方面。据研究，某地区的公路运量主要与该地区的人数、机动车数量和公路面积有关，表1给出了20年得公路运量相关数据，表中人数和公路客运量的单位为万人，机动车数量单位为万两，公路面积的单位为万平方千米，公路货运量单位为万吨。 根据有关部门数据，该地区2010年和2011年的人数分别为73.39和75.55万人，机动车数量分别为3.9635和4.0975万辆，公路面积将分别为0.9880和1.0268万平方米。请利用BP神经网络预测该地区2010年2011年得公路客运量和公路货运量。 (BP neural network to predict the road traffic (1) description of the problem of road traffic including road passenger and road freight volume two. According to research, an area of ​ ​ road traffic and the number of the region, the number of motor vehicles and road area, Table 1 shows the 20 years have to road traffic-related data, the table number and road passenger traffic units for people , million two units of the number of motor vehicles, road area in square kilometers, the highway freight volume was 10 000 tons. According to relevant data, the number of people of the region in 2010 and 2011 were 73.39 and 75.55 million, the number of motor vehicles were 3.9635 and 4.0975 million units, the road area were 0.9880 and 1.0268 million square meters. Please use the BP neural network in the region in 2011, 2010 have highway passenger volume and road cargo.)

pk_alfabetta_dq coordinate converter