power_dstatcom_pwm

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：  1、以不同的视角观察球面 和圆柱面 所围区域。2、画出s(t)=cos(2/3πf0t)的曲线及其付氏变换的曲线.设:f0=1KHz,时域分辨率 dt=0.01ms, 采样点数 N=2k, k>10.（均为M文件）(One to observe the different angles of spherical and cylindrical surface region by Wai. 2, draw s (t) = cos (2/3πf0t) curve and its Fourier transform curve. Established: f0 = 1KHz, time-domain resolution of dt = 0.01ms, sampling points N = 2k, k)

matlab的基础教学，对于从来没有学习过matlab的同学，该文档可以提供由浅入深的详细介绍与说明。(matlab basis for teaching, never studied matlab for students, the document provides a detailed description and explanation progressive approach.)

A novel constant false alarm rate(CFAR)detection algorithm is proposed in this paper．The Biparameter CFAR detection is applicable tO Gaussian noise in non—coherent integration for radar dim target detection algorithm．The paper analyzed the probability of false alarm in theory．Monte—Carlo simulations demonstrate that the Biparameter CFAR processor has achieved about 5 dB SNR gains in detection performances comparable to the conventional cell—averaging CFAR processor．

NIT工具箱二重积分matlab工具箱matlab代做(NIT toolbox matlab toolbox matlab doing some double integrals)

2个用户的DS CDMA ，2个用户长度必须相等(multiple access b/w 2 users using DS CDMA user1 and user2 are vectors and they should be of equal length)

说明：  关于神经网络（matlab）归一化的见解(On Neural Networks (matlab) normalized view)

卡尔曼滤波轨迹跟踪target tracking using kalman(target tracking using kalman)

本程序包内用matlab编写数值计算方法中的插值的源代码，包括Newton插值法，拉格朗日插值法，在mainInt.m文件中测试，并与拟合函数进行比较。供学习数值计算的程序员参考。(This program package using matlab numerical method of interpolation of the source code, including the Newton interpolation, Lagrange interpolation method, tested in mainInt.m file, and compare with the fitting function. For learning numerical Programmer s Reference.)

维特比译码matlab仿真 详细过程有注释，方便学习使用，挺好用的，望保留实用(Viterbi decoding matlab simulation detailed process notes, facilitate learning to use, very easy to use, hope to retain the practical)