article--Analysis-and-Simulation-of-Five-Phase

synthetic aperture radar signal processing with matlab algorithms 英文书的附带源代码，书是全英文的，作者是Mehrdad Soumekh。我没有电子书，只有复印的。 此成像算法包括一维距离像、条带式、聚束式等多种模式的SAR成像。可以作为有一定SAR基础的同行的编程参考。 友情提供(synthetic aperture radar signal processing with matlab algorithms English books with source code, book is in English, the author is Mehrdad Soumekh. I do not have e-books, only a photocopy was made. The imaging algorithm includes a one-dimensional range profile, band type, spotlight SAR imaging a variety of modes. SAR can be used as the basis of a certain peer programming reference. Friendly offer)

四点定位，声源定位，可连续模拟多个声源进行定位模拟(Four-point positioning, sound source localization, continuous simulation of multiple sound source localization simulation)

说明：  用数字滤波器进行脑电信号处理，可以滤除脑电信号中的无用成分，达到对脑电信号去噪的效果。(Brain with digital signal processing filter can filter out unwanted components in the EEG, to the effect on EEG denoising.)

也是自适应的波束形成，有中文注解,好好看，应该能看懂的(adaptive beam forming)

B样条曲线曲面的生成与显示，用matlab实现(B-spline curve and surface generation and display, using matlab implementation)

程序包含的设置包括：列数、样本总个数、建模样本数、预报因子数、预报对象数、学习因子、 动量因子、训练次数、总体误差、隐节点数。(Contains the settings include: the number of rows, the total number of samples, sample size modeling, forecasting factor number, forecasting the number of objects, learning factor, momentum factor, training frequency, the overall error, hidden nodes.)

《无线通信系统仿真——C++实用模型》一书的源码(" Wireless communication system simulation- C++ utility model" a source book)

说明：  本篇文章介绍了基于Matlab环境下的地面模型构建，采用了合适的插值拟合函数实现了构建。(This article describes an environment based on Matlab model of the ground, using a suitable fitting function interpolation building.)

simulink搭建的风速模型,可以模拟风速，仿真使用(Simulink model of wind speed, to simulate wind speed, the simulation using)

图像的平面微分平方和能够反映图像高频分 量的能量。用计算平面微分平方和的方法在空间域上计算相邻像素亮度差值的平方和，对应于在频率域上计算图像高频分量的能量和，此值越大，图像对焦越准确(Differential square image plane and the image can reflect the energy of high frequency. Computational method of Planar Differential squares calculated in the space domain to the square of the difference between the brightness of adjacent pixels and corresponds to the image in the frequency domain calculation of high frequency energy and, this value is larger, the more accurate the image focus)