Ofdm

直接扩频系统常用函数，有助于对直接扩频系统的算法研究。(functions for Direct spread spectrum system,guod referense for the study for Direct spread spectrum system)

deep learning一般是学习的层次结构，它也是有一定理论依据的，即模拟人脑的大脑皮层工作，因为大脑皮层的视觉区域也是分层次工作的，越底层的视觉皮层对那些底层特征就越敏感。综上所述，feature learning有这么多应用需求的驱动和生物神经理论上的支持，注定它能够在AI领域中发挥一定的作用。一些实验表明，有些feature learning学习到的特征几乎比所有其它的特征效果要好，比如本文中的ISA模型就是其中一个。(deep learning hierarchy of learning, it is also a certain theoretical basis that simulate the human brain' s cerebral cortex, visual areas of the cerebral cortex is hierarchical work, the more the bottom of the visual cortex is more sensitive to those underlying characteristics . In summary, feature learning so many application needs the support of the drive and biological neural theoretically doomed it to be able to play a certain role in the field of AI. Some experiments show that some feature learning learning to feature almost better than all the other features of the effect of the ISA model such as this is one.)

matlab基础训练题及答案，矩阵运算等适合初级学习者。(the simple exercise of matlab,for new learner)

有限差分法实验报告 用Matlab中的有限差分法计算槽内电位； 对比解析法和数值法的异同点； 选取一点，绘制收敛曲线； 总的三维电位图(Finite difference method for the experiment report Matlab finite difference method for calculating the slots in the potential Comparative analytic method and numerical method the differences and similarities between Select a bit, draw convergence curves General 3 d potential figure )

输入信号为方波信号+高斯白噪声，方波信号基 频为1kHz，幅值为1，高斯白噪声方差为0.2， 均值为0，采样频率为20kHz。试用周期图法和 ARMA谱估计法(SVD-TLS)估计此信号的功率 谱，并分析比较其结果(The input signal is a square wave signal+ Gaussian white noise, square wave signal fundamental frequency 1kHz, amplitude is a Gaussian white noise variance is 0.2, the mean is 0, the sampling frequency is 20kHz. Try periodogram and ARMA spectral estimation method (SVD-TLS) estimate the power spectrum of this signal, and the analysis and comparison of the results)

matlab 经典的ICP点云配准算法 ，已经通过测试，下载即可运行，可以很好的帮助你理解ICP算法(matlab classic ICP point cloud registration algorithm has been tested download to run can be very good to help you understand the ICP algorithm)

一本结合模糊推论系统matlab code源码的电子书，是学习模糊控制最佳用书。(This file contains code for solving some exercises, design problems, and examples in the book:Kevin M. Passino and Stephen Yurkovich, Fuzzy Control, Addison Wesley Longman, Menlo Park, CA)

digital image processing about filters

本程序基于实测的LFM脉冲信号回波数据，进行脉冲压缩处理，实现MTI/MTD/Matched Filter等功能，主要完成以下具体功能 1.脉冲压缩的实现以及结果处理， 2.固定目标的对消的实现方法、作用以及必要性分析， 3，脉冲积累的时机、实现方式、效果及必要性分析， 4,动目标检测的实际含义、具体实现方案及结果分析， 5,对目标距离、速度、数量的回答及旁瓣抑制的必要性分析 ( This program echo LFM pulse signal based on the measured data, the pulse compression processing, realize MTI/MTD/Matched Filter, and other functions, mainly to complete the following specific functions 1. The realization of pulse compression and processing results, 2. Cancellation of the realization method of the fixed target, function and the analysis of the necessity, 3, the timing of the pulse accumulation, implementation method, effect and necessity analysis, 4, the actual meaning of the moving target detection, the concrete implementation plan and result analysis, 5, the target distance, speed, number of answer and the analysis of the necessity of the sidelobe suppression )

在matlab下有关s函数的应用，自抗扰控制器的S-function(S function in matlab under the application of Auto-Disturbance Rejection Controller S-function)