双基地MIMO雷达波离角 波达角估计 二维ESPRIT算法

采用主动-被动的同步方案实现两个具有5涡卷蔡氏混沌电路系统同步(By active- passive synchronization scheme to achieve the two Chua' s chaotic circuit with five scroll synchronization)

matlab code for OFDM

说明：  ：图像增强是图像处理的一个重要分支，是图像边缘提取、图像分割等的基础．文章介绍了常用的图像增强技 术，并且以Madab为工具完成图像的直方图均衡化、巴特沃斯高通滤波器操作的示例，给出了处理前后的对照图像．重点介 绍了利用小波变换进行图像增强，获得了比较好的增强效果．(: Image enhancement is an important branch of image processing is the image edge extraction, image segmentation, etc. basis. This paper introduces the commonly used image enhancement technology, and to Madab as a tool to complete the image histogram equalization, Butterworth high-pass filter operation of an example is given before and after contrast images. Focuses on image enhancement using wavelet transform to obtain a relatively good enhancement.)

此文件介绍了matlab的基础知识，适合于初学者进行学习，希望对大家有所帮助(This document describes the basics of matlab, suitable for beginners to learn, we want to help)

相位解缠是INSAR数据处理的重要步骤，本文用基于FFT的最小二乘法实现实现相位解缠(Phase unwrapping)

这个程序是用来求解green function(This procedure is used to solve the green function)

2元BPSK调制加高斯信道硬判决统计误码率(2 yuan plus Gaussian channel BPSK modulation hard decision error rate statistics)

去噪为仿真信号建立； 去噪1为eemd去噪； 去噪2为形态滤波器； 去噪3为小波去噪，全局阈值，给定阈值（软阈值，硬阈值）； 去噪4为实际去噪(2 for morphological filter denoising Denoising 3 as the wavelet denoising, global threshold, the given threshold (soft threshold and hard threshold) 4 for practical denoising denoising)

基于Field开发环境，超声成像图像。波束宽度的求解以及各种发射和接收模式的成像效果图。(Field-based development environment, ultrasound imaging images. Solution of beam width and a variety of transmit and receive mode imaging map.)

Designs a frequency-domain and time-domain FIR equalizer for a single-input single-output (SISO) channel. Frequency-domain equalization uses a Chebychev criteria and is specified in terms of frequency response functions. It is a convex problem (which can be formulated as an SOCP): ( where H is the frequency response function and our variable is the filter impulse response h. Function G is the unequalized frequency response and G_des is the desired freq response. Time-domain equalization immediately designs the impulse response function by specifying the problem in time (it s an LP): minimize max_{t neq D} |g_tilde(t)| s.t. g_tilde(D) = 1 )