SpreadSpectrumcommunication_Matlab

matlab第12章内容其他部分正在上传请稍后(matlab other parts of chapter 12 is uploaded please wait)

数字基带传输系统的MATLAB仿真实现 function [sampl,re_sampl]=system_1(A,F,P,D,snr,m,N) 输入变量A ,F,P分别为输入信号的幅度、频率和相位，D为量化电平数，snr 为信道信噪比，N为D/A转换时的内插点数；输出变量sampl为抽样后的输入 信号，re_sampl为恢复出的输入信号。 数字基带传输系统的MATLAB仿真实现 [sampl,quant,pcm]=a_d_1(A,F,P,D) [changed_ami]=signal_encod_1(pcm) [ami_after_channel]=channel_1(changed_ami,snr) [adjudged_ami]=adjudg_1(ami_after_channel,m) re_pcm=signal_decod_1(adjudged_ami) [re_voltag,re_sampl,re_sampl1]=d_a_1(re_pcm,sampl,D,N)(Digital baseband transmission system implementation MATLAB simulation function [sampl, re_sampl] = system_1 (A, F, P, D, snr, m, N) input variables A, F, P, respectively, for the input signal amplitude, frequency and phase , D to quantify the number of electric-ping, snr for the channel signal to noise ratio, N to D/A converter when the interpolation points output variables for the sample after Sampl input signal, re_sampl for the restoration of the input signal. Digital baseband transmission system simulation MATLAB implementation [sampl, quant, pcm] = a_d_1 (A, F, P, D) [changed_ami] = signal_encod_1 (pcm) [ami_after_channel] = channel_1 (changed_ami, snr) [adjudged_ami] = adjudg_1 (ami_after_channel, m) re_pcm = signal_decod_1 (adjudged_ami) [re_voltag, re_sampl, re_sampl1] = d_a_1 (re_pcm, sampl, D, N))

基于Matlab的时域卷积的动态演示的实现，对进行DSP工作的通知可能有一定帮助。欢迎下载(Matlab-based time-domain convolution of the realization of the dynamic presentation of the work carried out to inform the DSP may have some help. Welcome to download)

二 维 时 域 有 限 差 分 法MATLAB 代 码(Two-dimensional finite difference time domain method MATLAB cod)

用于离散多径信道的均匀间隔TDL模型.由于多普勒原因引起的衰落对在离散多径信道上传输的QPSK信号的影响(For discrete multipath channel uniformly spaced TDL model)

说明：  本程序包设计了一个利用Matlab编写的基于EKF的SLAM仿真器，可用于机器人的路径规划的仿真实验设计。(This package designed a written Matlab, the SLAM EKF-based simulator can be used for robot path planning simulation design.)

说明：  粒子群优化算法(Particle Swarm optimization,PSO)又翻译为粒子群算法、微粒群算法、或微粒群优化算法。是通过模拟鸟群觅食行为而发展起来的一种基于群体协作的随机搜索算法。通常认为它是群集智能 (Swarm intelligence, SI) 的一种。它可以被纳入多主体优化系统(Multiagent Optimization System, MAOS)。粒子群优化算法是由Eberhart博士和kennedy博士发明。(The probabilistic neural network has a simple structure and is easy to design Particle Swarm Optimization (PSO) is translated as Particle Swarm Optimization, Particle Swarm Optimization, or Particle Swarm Optimization. It is a random search algorithm based on group collaboration developed by simulating the foraging behavior of birds. It is generally considered to be a type of swarm intelligence (SI). It can be incorporated into Multiagent Optimization System (MAOS). The particle swarm optimization algorithm was invented by Dr. Eberhart and Dr. Kennedy.)

遗传算法的Matlab程序，用于数值优化(GA Matlab procedures for Numerical Optimization)

这是现代通信系统书上付的程序 包括了通信的方方面面 非常全面(This is a modern communication system, paid for the book procedures, including all aspects of communication is very comprehensive)

雷达系统仿真雷达系统仿真雷达系统仿真雷达系统仿真(雷达系统仿真雷达系统仿真雷达系统仿真雷达系统仿真雷达系统仿真)