chapter9-image-transform-domain

用来生成分形山的matlab程序，直接运行既是用中点法，迭代生成分形山，非常好用(Health ingredients to the matlab procedure Katayama, both directly run by the mid-point method, iterative Katayama Health ingredients, very easy to use)

文章对几种常用的基于循环前缀(CP)的最大似然同步算法进行了分析，并对其频偏估计方差进行了比较；同 时针对基于CP 的同步算法在多径衰落信道下性能较差的情况，提出了一种改进的CP 同步算法并进行了仿真，结果表明相比 于原ML 算法，文中算法在多径信道下可有效提高频偏估计性能。(】This paper does some research on multiple maximum-likelihood (ML) algorithms based on cyclic prefix (CP) and compares variances of frequency-offset estimation After the analysis of the bad performance of CP based algorithms in multi-path fading channels, an improved CP algorithm is proposed and the simulation shows that this algorithm can improve its performance effectively in multi-path fading channels.)

基于快速傅里叶变换的MATLAB实现，内附有源程序(MATLAB based on fast Fourier transform implementation, enclosing a source)

solution of matlab project based on numercal methods

denoise the bayez noise of image wavelet

对于移动通信系统主要有两类衰落：大规模衰落和小规模衰落。大规模衰落表示由于大范围内移动而引起的平均信号能量的减少或路径损耗。而小规模衰落则表现为两种机制：信号的时延扩展和信道的时变特性。对于无线应用，信道的时变特性是由于发射机和接收机相对移动而造成传输路径的变化。这些传播条件的变化速率影响衰落率。如果存在大量反射路径而不存在视行信号分量，此时的小规模衰落称为瑞利衰落(Rayleigh fading)，接收信号的包络由瑞利概率分布函数统计描述。这种衰落也就是这次实验我准备研究的(system for mobile communications fading there are two main categories : large-scale and small-scale fading fading. In view of large-scale decline of large scale movement of the average energy of the signal path to reduce or loss. And the decline of small-scale, it was manifested as two mechanisms : signal delay expansion and channel time-varying characteristics. For wireless applications, channel time-varying characteristics as transmitter and receiver relative movement caused transmission path changes. These conditions spread of the rate changes affect the rate of decline. If there is a large number of pathways exist without depending on the signaling component, At that time, the decline of small-scale known as Rayleigh fading (Rayleigh fading). The received signal envelope from Rayleigh )

Fundermental of radar Measurement

阵列信号处理中的空时自适应处理算法的MATLAB实现代码(MATLAB Implementation Code of Space-Time Adaptive Processing Algorithms in Array Signal Processing)

这是一种求解微分方程的高精度数值方法，对解决很多非线性问题有很大优势，由钟万勰院士首创(This is a high-precision numerical solution of differential equation methods, to solve many nonlinear problems has great advantages, from the first academician Zhong Wanxie)

钟麟《Matlab仿真技术与应用教程》学习用(Zhong Lin Matlab Simulation Technology and Application Guide)