fdacoefs100

本文提出在数字移动通信中子带滤波器组处理可以提高不同阵元信号的相关性，从而能改善自适应阵列抑制码间干扰(ISI)和共信道干扰(CCI)的能力．在文[6]的基础上，本文研究了子带滤波器组在宽带自适应天线旁 瓣相消中的应用，对其原理进行了理论分析，提出了有效的子带处理方法．经研究表明，子带滤波器组处理能有效增加主、辅助天线信号的相关性，从而提高系统干扰相消比．而且适当的过采样能使系统干扰相消比进一步提高．计算机仿真结果和实测雷达数据处理结果证实了子带处理方法的有效性和理论分析的正确性．()

说明：  自己编写的用模拟退火算法求解TSP问题的matlab程序(I have written with simulated annealing algorithm matlab program for TSP)

MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(MUSIC algorithm is a matrix decomposition method based on feature space. From the geometric point of view, the observed spatial signal processing can be decomposed into signal subspace and noise subspace, it is clear that the two spaces are orthogonal. The signal received by the array to the subspace of the covariance matrix of the signal component corresponding eigenvectors, the noise subspace of the covariance matrix of all by the smallest eigenvalue (noise variance) eigenvectors corresponding to the composition. MUSIC algorithm is the use of orthogonal properties between these two complementary space to estimate the spatial orientation of the signal. Noise subspace of all vectors are used to construct the spectrum, all the spatial orientation of the spectrum corresponding to the peak position of the signal wave direction. MUSIC algorithm greatly improves the resolution measurements, while the antenna array adapted to any shape, but the prototype MUSIC algorithm requires to wave sign)

用于描述图形周围GVF力场分布图，必须有前置的GVF源码，这个代码才能发挥作用(GVF force field used to describe the graphics around the map, must have front of the GVF source, this code can play a role)

Blind Sources Separation code

基于matlab m文件识别白车，过滤黑车 希望对大家有用(Identification of white cars, black cars would like to filter useful)

通过将余弦电流脉冲分解，直观描述余弦电流脉冲分解图像(The cosine current pulses through decomposition, intuitive description of the current pulse resolution image cosine)

说明：  能够实现LMS滤波器的算法,实现LMS的仿真(LMS)

采用matlab编写的常微分方程的数值解法，有算例，以及改进龙格库塔方法。(The numerical solution of ordinary differential equation by using Matlab prepared, with examples, and the improvement of the Runge Kutta method.)

通信系统链路可靠性和节点可靠性的计算并将两者综合(Communication link reliability and node computing system reliability and a combination of both)