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Linux/Unix编程 hanterm-xf install file
hanterm-xf install file
嵌入式Linux 自己为XF-S4240语音合成芯片所写的驱动程序
自己为XF-S4240语音合成芯片所写的驱动程序，对应arm2410的开发板。通过iic总线来控制芯片。
学术论文 全双工无线互动MP3播放器
2005年上海市高校学生嵌入式系统创新设计竞赛获奖作品，论文摘要：该系统是基于ETOMS公司的USBICE开发平台设计而成的全双工无线互动MP3播放器，并兼有曲目名语音提示功能，由两个MCU完成对整个系统的全局控制。通过ET44M210开发板的USB应用接口设计U盘，将MP3文件从PC下载到MP3播放器（发送子系统）的FLASH，接收子系统）通 ...
人工智能/神经网络 模糊神经网络采用matlab编程 o install NEFCON follow these steps: 1. Unpack the tar file NEFCON.TAR into your MA
模糊神经网络采用matlab编程 o install NEFCON follow these steps: 1. Unpack the tar file NEFCON.TAR into your MATLAB working directory: tar xf NEFCON.TAR 2. Start MATLAB 3. Change to the installation directory. 4. Change to the NEFCON directory. 5. Start the STARTUP M-file to initialize NEFCON. ...
DSP编程 1.可组合给定内容的程序
1.可组合给定内容的程序，利用示波器测量XF或LED0管脚的信号频率。
2.可修改定时器中断服务程序，使三个发光极管每隔1秒钟轮流点亮一次。
人工智能/神经网络 n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional inde
n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ...
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 ...
数学计算 The software implements particle filtering and Rao Blackwellised particle filtering for conditionall
The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generi ...
matlab例程 In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional ind
In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of th ...
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: ...