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Java编程 JAVA得到网卡物理地址(windows和Linux) ,当时觉得挺好,后来正好项目里有需要,就用了它,但好像有点问题.因为它是采用固定字符串搜索(if (line.indexOf("Physical
JAVA得到网卡物理地址(windows和Linux) ,当时觉得挺好,后来正好项目里有需要,就用了它,但好像有点问题.因为它是采用固定字符串搜索(if (line.indexOf("Physical Address") != -1) )获得MAC 地址的,后来在应用时出了问题,因为没有"Physical Address"这一项.后来在外网在查查了一下,后来发现老外有写一个这样的类,可能那样的 ...
编译器/解释器 TOOL (Tiny Object Oriented Language) is an easily-embedded, object-oriented, C++-like-language inter
TOOL (Tiny Object Oriented Language) is an easily-embedded, object-oriented, C++-like-language interpreter. The language, and indeed a significant part of the core of the TOOL engine, is based on the BOB project, a work that was originally developed by David Betz covered in previously published issu ...
DSP编程 The line echo canceller (LEC) is designed to provide the maximum attainable transparent voice qualit
The line echo canceller (LEC) is designed to provide the maximum attainable transparent voice quality for
de-echoing of a PSTN or POTS connection in voice-over-LAN systems with internal delays, or on a codec end of a telecom switch,基于TI 54X/55X平台
数学计算 An object-oriented C++ implementation of Davidson method for finding a few selected extreme eigenpai
An object-oriented C++ implementation of Davidson method for finding a few selected extreme eigenpairs of a large, sparse, real, symmetric matrix
其他嵌入式/单片机内容 It is siemens plc program,it is our work-shop of an assembly line turning out cars program.
It is siemens plc program,it is our work-shop of an assembly line turning out cars program.
DSP编程 dsPIC DSC Line Echo Cancellation Library
dsPIC DSC Line Echo Cancellation Library
嵌入式Linux samples for pipe line source code
samples for pipe line source code
VC书籍 候捷 inside object Oriented C
候捷 inside object Oriented C
TAPI编程 Demonstrates how to open a line and get general information
Demonstrates how to open a line and get general information
人工智能/神经网络 On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carl
On-Line MCMC Bayesian Model Selection
This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and deta ...