mypuma

联合CMA+DDLMS盲均衡算法的研究，两种模式的结合达到了更好的效果(Joint CMA+ DDLMS blind equalization algorithm, a combination of two modes to achieve better results)

《MATLAB图像处理实例详解》源代码 第五章( MATLAB image processing example explanation Source Code Chapter)

本文件提供了在线的雷达数据导入IPIX matlab算法，主要是用于验证目的,包括导入程序和IPIX雷达数据下载地址，做SAR和图像遥感的必备资料。(This document provides the online radar data import the IPIX matlab algorithm for authentication purposes, including import procedures and IPIX radar data download address, must do the SAR and images of remote sensing.)

about mini Project of Cancer identification

说明：  matlab 图论 中所有程序 求最短路。。最小生成树。。网络最大流等。。。(matlab graph theory for the short-circuit all the procedures. . Minimum spanning tree. . Network, such as maximum flow. . .)

说明：  计算模糊熵值，在样本熵的基础上进行改进的模糊航，计算时间序列的复杂性(Computable Fuzzy Entropy Value.An improved fuzzy navigation based on sample entropy is used to calculate the complexity of time series.)

数字视频技术的实验,关于穷尽块匹配算法的matlab程序及实验报告.(digital video technology experiments on the exhausted block matching algorithm and experimental procedures Matlab report.)

不可多得的安卓入门图书！由Mark Murphy编著，手把手教你实现你的第一个安卓应用程序(Getting Andrews rare books! Edited by Mark Murphy, taught you how to achieve your first Android application)

一篇遗传算法的论文，有详细的汉语和英语对照翻译(A genetic algorithm paper, a detailed comparison of Chinese and English translation)

“Fast Tracking via Dense Spatio-Temporal Context Learning,” In ECCV 2014的源代码，效果非常好。(In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-temporal relationships between the object of interest and its local context based on a Bayesian framework, which models the statistical correlation between the low-level features (i.e., image intensity and position) from the target and its surrounding regions. The tracking problem is posed by computing a confidence map, and obtaining the best target location by maximizing an object location likelihood function. The Fast Fourier Transform is adopted for fast learning and detection in this work. Implemented in MATLAB without code optimization, the proposed tracker runs at 350 frames per second on an i7 machine. Extensive experimental results show that the proposed algorithm performs favorably against state-of-the-art methods in terms of efficiency, accuracy and robustness.)