FFT

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这个是一个基于matlab实现傅里叶变换的一个小的程序，共大家学习使用。(This is a matlab-based Fourier transform to achieve a small program, we were learning to use.)

参考3GPP相关标准并根据LTE技术特征和关键特性，对下行链路级进行设计，包含以下步骤：比特生成、CRC校验、码块分割、编码、速率匹配、码块级联、加扰、调制、层映射、预编码、资源映射、OFDM符号生成和天线映射。为模拟无线传输信道，还需仿真相应的信道模型。收端则是发端的严格逆过程，对接收信号进行一系列处理，得到代表原始发送的信息并判决。(References 3GPP LTE technology standards and in accordance with characteristics and key characteristics of the downlink stage design, comprising the steps of: generating bits, CRC checksum, code block segmentation, encoding, rate matching, code block concatenation, scrambling, modulation , layer mapping, precoding, resource mapping, OFDM symbol generation and antenna mapping. Analog wireless transmission channel, the need to emulate the corresponding channel model. The receiving end is the inverse of the originator of the rigorous, a series of processing the received signal, the representation of the original transmitted information and judgment.)

Sheffield大学开发的matlab工具箱，内含实例。并附有《MATLAB遗传算法工具箱及应用》（西安电子科技大学出版社）对此工具箱及matlab7.0自带的GADS工具箱有详细介绍。(A matlab toolbox developed by Sheffield University, containing examples. Together with an introduction(Xidian University Press).)

matlab image reading

matlab有理分式多项式展开系数计算程序(matlab)

说明：  风电场随机注入功率潮流计算文件，在IEEE14节点下任意设置风电节点及其注入功率，即可进行潮流计算以及静态安全分析(The power flow calculation file of random injected power of wind farm can be used for power flow calculation and static safety analysis if the wind power node and its injected power are arbitrarily set under IEEE14 node)

adaptive control robotmanipulator in m file Matlap

一篇讲解FDTD中，隐式格式迭代，总场散射场分离的改进的论文，对于学习总场散射场有重要作用。(FDTD in a brief, implicit iteration, the total field scattered field improved separation of papers, total field scattered field for the study has an important role.)

产生 正态白噪声序列 (1) 打印出前50个数 (2) 分布检验 (3) 均值检验 (4) 方差检验 (5) 计算相关函数 Bx(i),i=0,±1,±2,…, ±10。 B(m)=1/1000 (Have a normal white noise sequence (1) print out the top 50 the number of (2) the distribution of test (3) the mean test (4) of variance test (5) calculating the correlation function Bx (i), i = 0, ± 1, ± 2 , ..., ± 10. B (m) = 1/1000)