搜索资源列表
RefactoringMartinFowler
- Refactoring: Improving the Design of Existing Code by Martin Fowler, Kent Beck (Contributor), John Brant (Contributor), William Opdyke, don Roberts 这是一本相当好的书-Refactoring: Improving the Design of Existing Code by
LIF
- 一个新的主动轮廓模型算法，简化了传统的实现过程，性能也有所提高。相关论文(Active Contours Driven by Local Image Fitting Energy)发表在Pattern Recognition 2009上。-A new active contour model algorithm, simplifying the traditional implementation process, performanc
Oracle-by-tom
- Oracle-by-tom，tom 大师，值得学习。-Oracle-by-tom
getpoly_bm
- 利用BM算法求解线性移位寄存器生成多项式-get LFSR sequence prime Polynomial by BM algorithm
getpoly_bm1
- 利用BM算法求解线性移位寄存器生成多项式-get LFSR sequence prime Polynomial by BM algorithm
CODES_SAS_Functions_by_Example
- SAS Functions by Example的书籍的随书SAS源码。 /* This material is provided "as is" by SAS Institute Inc. There */ /* are no warranties, expressed or implied, as to merchantability or */ /* fitness for a particular purpose r
decode
- program simulation LDPC codes by matlab
RTC_PIC
- interface Pic18F4550 with IC RTC DS1307 by modul I2C.
pmd
- simulation fiber optical pmd by matlab
BY
- 蜂鸣器响声频率测试程序 作用：因为蜂鸣器在市面买回来频率相近，但不同批次与不同厂家都有分别， 导致一个通用的程序无法发出量理想的响声，而且多是不在最佳频率 时响声就变得很小。本程序就是通过串口从PC中手动输入不同的值, 得到清脆响亮的最佳参数。使用时直接用该参数取代A即可，程序中 已有详细中文注释，非常方便。（常用值在88左右） 作者：泊浪 时间：2010-01-18-Buzzer so
LinuxSocketProgramingbyExample.tar
- 实战Linux socket编程（Linux+Socket+Programming+By+Example）配套源代码-Actual source code for Linux socket programming package Linux+Socket+Programming+By+Example
Ms-Visual-C-Sharp-2005-Step-By-Step-2005
- Ms Visual C Sharp 2005 Step-By-Step (2005)
amorph
- Owing to the broad application value of audio watermarking in remote transmission and mobile extraction, it is very important to study watermarking approaches against A/D and D/A conversion. Based on wavelet deco
(rbot)x0n3-Satan-v1.0-Priv8-By-CorryL{x0n3-h4ck}.
- IRC Bot by x0n3-h4ck , very nice , working spread ftp to! -xd
timer
- timer made by me perfect for pic
QueryByHumming
- Query By Humming System In Matlab
Telecommunications.Demystified.by.Carl.R.Nassar.r
- Telecommunication demystified by Carl Nassar
2DLDAwiththeSVM-basedfacerecognitionalgorithm
- 二维线性鉴别分析(2DLDA)算法能有效解决线性鉴别分析(LDA)算法的“小样本”效应，支持向量机 (SVM)具有结构风险最小化的特点，将两者结合起来用于人脸识别。首先，利用小波变换获取人脸图像的低频分量，忽 略高频分量：然后，用2DLDA算法提取人脸图像低频分量的线性鉴别特征，用“一对多”的SVM 多类分类算法完成人脸 识别。基于ORL人脸数据库和Yale人脸数据库的实验结果验证了2DLDA+SVM算法应用于人脸识别的有效
inpaintingMatlab
- Object Removal by Exemplar-Based Inpainting implementation by Matlab
forconv2
- 实现两个指数信号的卷积，通过绘制出两个输入的指数信号的图形进行卷积后的图形说明卷积的作用。-Convolution of two exponential signals to achieve, by drawing out the index of the two input signals after convolution graphics graphic illustration of the role of convolutio