SARAutoFocus

将一幅M×N的灰度图像用3×3平均滤波器进行模糊，分别再加上一定的高斯 噪声和均匀噪声。然后，设计一个维纳滤波器对这两幅图像进行复原，分别 计算这两幅图像复原前后的PSNR。(Gray-scale image of a MN 33 average filter is vague, respectively, plus a Gaussian noise and uniform noise. Then, design a Wiener filter to recover these two images, the two images before and after the recovery of PSNR were calculated.)

用matlab实现了分形，效果还是不错的，是分形学习中的基础内容(Matlab realize the use of fractal, the effect is still good, is a fractal study based on content)

我改写后的graphbrian类，原本支持柱状图饼图和折线图的，现在添加了对这些图的风格调整，主要是增加了调整绘图区背景色和文本背景的功能，还增加了把图片保存为bmp文件的功能，以便用其他软件方便的打印。(I would then graphbrian category, which originally supported the pie chart histogram and line graph, and now added to adjust the style of these plans, the main adjustment is to increase the drawing area background color and text background function, but also an increase of the picture saved as bmp files, in order to use other software to facilitate printing.)

用于Landsat5 TM数据的辐射定标(Calibration for Landsat TM data using IDL)

【实例简介】本设计为基于MATLAB的火焰烟雾火灾检测系统。传统的采用颜色的方法，误识别大，局限性强。结合火焰是实时动态跳跃的，采用面积增长率，角点和圆形度三个维度相结合的方式判断是否有火焰。该设计测试对象为视频，通过下一帧和上一帧的差异发现是否有火情，并可发出语音报警。本设计带有一个人机交互式GUI界面，界面友好。是个不错的bishe选题。

说明：  基于gabor和chirp原子的匹配追踪算法论文简介！共同进步 又更多需要可以加610521482！(Comparing gaussian and chirplet dictionary.Matching pursuit method!)

SAR SIM 仿真软件，可以参考看看，主要用于SAR雷达的成像仿真(SAR SIM simulation software, can refer to the SAR SIM simulation software, can refer to see)

Large Deviations for Gaussian Queues - Modelling Communication Networks - Michel Mandjes

区域生长，基本处理方法是 以一组种子点开始来行程生长区域，即将哪些预定义属性类似于种子的邻域像素附加到每个种子上 (regional growth, the basic approach is based on a group of seed starting point to the growth of regional tour, What about predefined attributes similar to seed the neighborhood of each pixel additional seeds)

这是一个地震数据多尺度分析和处理的文章.内容相当丰富,不仅仅增加地质方面的知识,更重要的是可以学到很多数据处理和小波分析方面的知识.(This is a multi-scale seismic data analysis and processing of the article. Fairly rich, is not only increasing geological knowledge, the more important it is to learn a lot of data processing and wavelet analysis knowledge.)