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技术资料 Sphinxbase是卡内基梅隆大学著名的sphinx语音识别工程的公用库
·详细说明：sphinxbase是卡内基梅隆大学著名的sphinx语音识别工程的公用库，里面实现了语音的AD处理，端点检测，去噪等功能.文件列表: 67506257sphinxbase-0.1.tar
Linux/Unix编程 gcclib This gcc 1.40 suits for Linux kernel 0.11 - 0.95 Installtion hints -----------------
gcclib
This gcc 1.40 suits for Linux kernel 0.11 - 0.95
Installtion hints
-----------------
This suit contains include.taz, local.taz and this README file.
You must download the bootimage and rootimage and install them first.
The include.taz contains all the include files for using with gcc 1.40 ...
网络 Suck Wrappers are a set of UNIX script files that sets up inn, an NNTP server, on a local machine so
Suck Wrappers are a set of UNIX script files that sets up inn, an NNTP server, on a local machine so that suck can communicate with a News server supplied by an ISP . It also installs a set of wrapper scripts (based on the sample scripts provided with the suck tar ball) that call suck with the corre ...
网络 QT是目前Linux上最知名的窗口环境系统
QT是目前Linux上最知名的窗口环境系统，除了桌上型电脑之外，PDA上的Linux系统也大都是以QT当作窗口环境。 目前QT在Linux PDA上必须安装的程序包括QT/Embedded与QT/Palmtop两者，并且QT公开其原始码与发展环境。 本程序主要希望在Linux PDA上藉由RS-232通讯与手机沟通，并且能够收发简讯。 采用的发展环境为QT/Embedded 3.0 ...
加密解密 LOKI算法
LOKI算法，包括：
LOKI97加密解密算法 18k cref.zip
LOKI97加密解密算法文档 67k loki97spec.ps.gz
LOKI89、LOKI91加密解密算法 15k loki-3.0.tar.gz
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 ...
matlab例程 In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve r
In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: ...
数学计算 This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps t
This demo nstrates 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 details are presented in: Christophe Andrieu, N ...
数学计算 This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hier
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that n ...
Linux/uClinux/Unix编程 嵌入式烧写
1、 把内核解压到根目录下
tar jxvf xxxxxxxx.tar.bz2
2、 把demo.c 放到drivers/char目录下
3修改Kconfig、Makefile文件，如下