xiebo

This is modeling VSC and PLL

基于matlab的多道地震信号合成，涉及雷克子波与反射系数，还有地震信号的加噪与去噪(Multichannel seismic signal synthesis based on matlab involves Rayleigh wavelet and reflection coefficient, as well as noise addition and denoising of seismic signal.)

K均值聚类法基于lab颜色空间分割图像，并用霍夫变换检测圆(K means clustering method is based on lab color space segmentation image and Hough transform to detect circles with)

用Kmeans方法用于软件开发成本类比估算，使用Desharnais数据集(Kmeans method is used for estimating software development costs by analogy. the dataset is Desharnais.)

一个用matlab写的贪吃蛇游戏，很经典哦(Using matlab to write a game of Snake, Oh very classic)

this paper talks about ofdm synchronization,hope it to be of help to evrybody

多目标检测，可用于视频监控，视觉目标跟踪，运动检测，及其它图像处理中的相关应用。(This code contains multiple object detection adaptable to visual surveillance, visual object tracking, motion estimation and other image processing applications.)

练习1：查找内存错误 练习2：阅读书籍高质量ç 编程指南.PDF林锐（林锐）P95，回答问题4。 练习3：阅读代码sizeof.rar。不运行它，它的分析和写入输出。(Practice 1: Finding Memory Bugs Practice 2: Read book 高质量C编程指南.pdf  by Lin, Rui(林锐) P95, answer question 4. Practice 3: Read the code in sizeof.rar. Without running it, analysis it and write the output.)

matlab reading file & segmentation example

Mammography is one of the available techniques for the early detection of masses or abnormalities which is related to breast cancer. Breast Cancer is the uncontrolled of cells in the breast region, which may affect the other parts of the body. The most common abnormalities that might indicate breast cancer are masses and calcifications. Masses appear in a mammogram as fine, granular clusters and also masses will not have sharp boundaries, so often difficult to identify in a raw mammogram. Digital Mammography is one of the best available technologies currently being used for the early detection of breast cancer. Computer Aided Detection System has to be developed for the detection of masses and calcifications in Digital Mammogram, which acts as a secondary tool for the radiologists for diagnosing the breast cancer. In this paper, we have proposed a secondary tool for the radiologists that help them in the segmentation and feature extraction process.