RF-Design-and-Analysis

说明：  MATLAB语言是一种广泛应用于工程计算及数值分析领域的新型高级语言，自1984年由美国 MathWorks 公司推向市场以来，历经十多年的发展与竞争，现已成为国际公认的最优秀的工程应用开发环境。MATLAB功能强大、简单易学、编程效率高，深受广大科技工作者的欢迎(MATLAB language is a widely used engineering calculation and numerical analysis of the new high-level language, since the United States in 1984 by the MathWorks to market since the company, after ten years of development and competition, has become internationally recognized best engineering applications development environment. MATLAB powerful, easy to learn, programming efficiency, greatly welcomed by the vast numbers of scientific and technological workers)

本光盘为《详解MATLAB快速入门与应用》一书的配套光盘，包括以下内容： 1.“sample”文件夹：提供了本书各章范例的源程序。(The CD is " Getting Started with MATLAB Detailed application," a book supporting the CD, including the following:. 1 " sample" folder: each chapter provides examples of the book source.)

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matlab basic exercise in korean

学会MATLAB编程； 学会用单纯型法求解线性规划； 学会用对偶单纯型法求解线性规划；(Institute of MATLAB programming learn how to use simple method to solve linear programming learn how to use dual simplex method to solve linear programming )

sparse multinomial logistic regression

A basic matlab code for image blurring this code can be used to blur the given image and the blurred image can be used for comparing restoration algorithms

基于卡尔曼滤波的雷达目标跟踪，对运动轨迹进行滤波(Kalman filter-based radar target tracking, trajectory filtering)

qpsk调制 信道仿真 采用蒙特卡洛 信号和噪声随机生成，莱斯信道(qpsk modulation and channel simulation using Monte Carlo signal and noise randomly generated, Rice channel)

实测一组机械系统的振动信号，记录采样频率、采样点数，估计该组振动信号的均值、均方值、方差、自相关函数和功率谱，其中功率谱估计对比频率平滑与分段平滑的效率，针对分段平滑、分析不同平滑次数对功率谱估计的影响(Found a mechanical vibration signal system, the recording sampling frequency, sampling points, the estimated mean the set of vibration signals mean square value, variance, autocorrelation function and power spectrum, wherein the power spectrum estimation and comparison of frequency smoothing piecewise smooth efficiency for piecewise smooth, analyze the impact of different smooth frequency power spectrum estimation)