ofdmcode

it s used for beamforming adaptively

FIR 及 IIR低通滤波器的设计以及 正弦信号滤波前后的频谱分析 （不同窗函数截断）(FIR and IIR filter design and low-pass filter before and after sinusoidal signal spectrum analysis (different window function truncated))

根据蚁狮觅食行为启发而提出的一种群智能搜索算法，并进行标准函数测试，效果较好(A swarm intelligence according to the foraging behavior of ant lion heuristic search algorithm, and the standard test function, good effect)

一个非常好的基于MATLAB的飞机动态控制工具箱,对于从事该方面研究的读者非常有参考价值(a very good aircraft based on MATLAB Toolbox dynamic control, engaged in the study of readers very valuable reference)

使用MATLAB函数中的FFT命令计算离散时间信号的频谱，以加深对离散信号的DFT的理解及其FFT算法的运用。(using MATLAB function FFT calculation order discrete-time signal spectrum, to increase the discrete signals in the DFT and FFT algorithm understanding of the application.)

说明：  适用于任意混沌系统的李雅普诺夫指数计算方法，值得借鉴(The calculation method of Lyapunov exponent applicable to any chaotic system is worth learning)

多项式线性拟合，根据给出的（x，y）值，给出多项式的系数值。(Presented in this paper, according to polynomial linear fitting (x, y) value of polynomial coefficient values. )

电子通信系统的建模与仿真 第8章 扩频通信 仿真 8.1 扩频码相关性的讨论 8.2 扩频通信原理 8.3 扩频通信系统? 8.4 跳频通信系统(Electronic communications system modeling and simulation in Chapter 8 Simulation of spread spectrum communication spread spectrum 8.1 code related discussion 8.2 Principle 8.3 Spread Spectrum Communications Spread Spectrum Communication System ? 8.4 Frequency Hopping Communication System)

pq控制，恒功率控制，在微网中有一定的使用价值(pq control, constant power control, there is a certain value in the micro network)

去噪处理是图像处理中较为重要的环节。中值滤波是抑制图像的噪声的一个行之有效的办法，选择适当大小的中值滤波窗口可以在最大限度的保持图像精度的基础上去除图像噪声。本文在对中值滤波去噪算法的适用性特点进行研究的基础上，进一步研究了中值滤波去噪算法，同时对其他去噪算法，如均值滤波、低通滤波的小波变换进行分析研究，并做了相应的比较。(Noise reduction is one of the most important parts of image processing. Median filtering is a proven way to remove image noise. To select the appropriate size of the window can maximize to remove image noise on the basis of maintaining the accuracy of the image. On the basis of investigating the application of the median filtering algorithm denoising characteristics, we do further study of the median filtering algorithm denoising. At the mean time we analyzed the mean filtering and wavelet transform algorithm, and compared them.)