DSP_MATLAB

有限元程序集，非常全面，方便阅读，希望你们能喜欢 (Finite element assembly, is very comprehensive, easy to read, I hope you will enjoy)

Main Three Phase Program

matlab code of wireless comunication

说明：  一些matlab运用中的实例，对初学MATLAB的朋友可能会有些帮助(Some examples of the use of matlab for MATLAB beginner friends may be helpful in)

Content Based Image Retrieval

说明：  典型的实验函数,可以用来测试算法的性能!(Typical experimental function, can be used to test algorithm performance!)

说明：  其主要内容包括：MATLAB 入门及基本操作，数 组、矩阵的使用及数据可视化方法，脚步文件及函数的编写，以及仿 真、图形用户界面入门等。(Its main contents include: MATLAB Introduction and basic operation, array, matrix use and data visualization methods, the pace of preparation of documents and functions, as well as simulation, graphical user interface, such as entry.)

分析了影响多雷达组网对目标跟踪精度的因素以及与单雷达的差异,提出了定义雷达网目 标定位精度,以及评估多雷达组网后在目标定位精度方面带来增益的方法。推导了雷达网对目标定 位精度和相应评估指标的估计公式。该文方法不要大量的计算机仿真就可以方便地评估2-D、3- D以及混合雷达网的目标定位精度和效能。通过应用实例说明了该文方法的优点和有效性。 (The factors that affect the location accuracy of target tracked by multi-radar are analyzed.The method to define target location accuracy and the metrics to evaluate the accuracy improvement efficiency of a radar net- work are presented.The analytical expressions are developed to estimate the target location accuracy and the effi- ciency metricsof a radar network.The presented method is convenient to evaluate the target location accuracy and the efficiency of 2-D,3-D as well as the heterogeneous radar network instead of the tedious computer simula- tions.The advantages and the validity of the method are demonstrated by an application. )

计算米粒大小的总体分布对图像进行增强，结果显示该算法效果很好(rice detection matlab)

详细介绍了多种图像处理的案例，包括原代码！用于进行图像处理、分析、可视化和算法开发。可用其对有噪图像或退化图像进行去噪或还原、增强图像以获得更高清晰度、提取特征、分析形状和纹理以及对两个图像进行匹配。(Introduced a variety of image processing of cases, including the original code! Used for image processing, analysis, visualization, and algorithm development. Its noisy image can be used or degraded image denoising or restore, and enhance in order to obtain higher resolution images, extract features, analyze shapes and textures as well as the two images to match.)