2012-IEEE-MATLAB-A-Novel-Data-Embedding-Method-Us

用matlab编写的一个扩频通信的一个仿真，很好的说明了扩频系统的工作原理！(communication simulation systems, including the analysis of Spread spectrum)

4阶经典Runge-Kutta格式解常微分方程,Romberg(龙贝格）法求函数的积分,三阶样条插值（一阶导数边界条件）,定步长梯形法求函数的积分,矩阵A的伴随矩阵, Lagrange插值法数值求解,Newton迭代法解非线性方程f(x)=0(Fourth-order Runge-Kutta classic format solution of ordinary differential equations, Romberg (Romberg) method for function points, third-order spline interpolation (first derivative boundary conditions), fixed-step trapezoidal method for integrating functions, matrix A adjoint matrix, Lagrange interpolation method for numerical solution, Newton iterative method for solving nonlinear equations f (x) = 0)

dv-hop定位算法，用最小二乘法实现节点的定位。(Dv-hop localization algorithm, using the least square method realize the positioning of the node. )

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)

inverted parabola is a matlab source code to simulate antenna gain

单频信号作为探测信号的匹配滤波处理程序源码 包括信号产生并验证通过(Single frequency signal as a detection signal matched filtering processes, including signal generating source and verified by)

灰色无偏GM（2,1）模型源代码 需要利用搜索工具箱求解参数(Unbiased Grey GM (2,1) model of the source code need to use the toolbox to solve the search parameters)

matlab 非负矩阵工具箱 官网下载 保证质量(Non-negative matrix matlab toolbox official website to download quality assurance)

有CDF三角函数曲线/三维曲线图，阵列信号处理的高分辨率估计，本程序的性能已经超过其他算法。( There CDF trigonometric curve/3D graphs, High-resolution array signal processing estimates, This program has exceeded the performance of other algorithms.)

matlab-rtw实验例程matlab-rtw实验例程matlab-rtw实验例程(matlab real time)