资源列表
m
- Mean Shift 这个概念最早是由Fukunaga等人[1]于1975年在一篇关于概率密度梯度函数的估计中提出来的,其最初含义正如其名,就是偏移的均值向量,在这里Mean Shift是一个名词,它指代的是一个向量,但随着Mean Shift理论的发展,Mean Shift的含义也发生了变化,如果我们说Mean Shift算法,一般是指一个迭代的步骤,即先算出当前点的偏移均值,移动该点到其偏移均值,然后以此为新的起始点,继续移动,直到满足一定的条件结束.-Mean Shift the conc
PT2262-2272
- 本资料详细的解说了超再生无线接收传送数据方面的解码资料，难得资料！-Detailed explanation of the information super-regenerative radio receiver to decode the information transmitted data, rare information!
is687
- 包括压缩比、运行时间和计算复原图像的峰值信噪比,是国外的成品模型，光纤无线通信系统中传输性能的研究。- Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Foreign model is finished, Fiber Transmission wireless communication system performance.
小波理论及其在图形图像处理中的应用
- 小波理论及其在图形图像处理中的应用-wavelet theory and image processing the application
XSCKHDHKBJWT
- 这是一本详细显示作为窗口或对话框背景的位图书籍，全面的讲述了vc编程的一些深层次的知识-This is a detailed display as a window or dialog background background books, a comprehensive descr iption of the vc programming some deep knowledge
bwnfn
- 分形维数计算的毯子算法matlab代码,是学习PCA特征提取的很好的学习资料，可以提取一幅图中想要的目标。- Fractal dimension calculation algorithm matlab code blankets, Is a good learning materials to learn PCA feature extraction, Target can be extracted in a picture you want.
TDMPON
- TDM OFDM PON TDM OFDM PON TDM OFDM PON TDM OFDM PON-TDM OFDM PONTDM OFDM PONTDM OFDM PONTDM OFDM PONTDM OFDM PONTDM OFDM PONTDM OFDM PON
final101
- a matlab program for simulation of wsn
about_send_msg_interProcess
- 一个关于进程间发送消息的文档，对于初学者来说非常有用。-A document of the process of sending a message, very useful for beginners.
Http-and-Socket-difference
- 主要介绍了http协议和socket通信机制的区别，对学习socket的学生能加深对其机制的理解。-Focuses on the http protocol and the difference between socket communication mechanism, to learn its socket students to deepen understanding of the mechanisms.
nybiw
- 是本科毕设的题目，可以动态调节运行环境的参数，混沌的判断指标Lyapunov指数计算。- The title of the commercial is undergraduate course you Can dynamically adjust the parameters of the operating environment, Chaos indicator for Lyapunov index calculation.
mrjgb
- v Matlab for beginner students will help, PLS PLS toolbox, Application of small area variance comparison, simple procedures.