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FANGFANGBOforDSP
- 基于DSP的fangbo.asm 利用定时器Timer0在XF脚产生周期1s的的方波 此程序采用100Mhz的时钟频率，产生的方波-DSP-based fangbo.asm use timer Timer0 XF feet produced in a cycle of the square's procedure using 100 Mhz clock frequency of the square wave
xf
- 二维三角网格细分，并同时建立新的三角网格的拓扑结构-2D triangular mesh subdivision, and at the same time establishing a new triangular mesh topology
33XF
- dsp33的XF的测试程序，可用来测试pcb板以及仿真器运行是否正常，特别适合初学者-dsp33 XF of the test procedure can be used to test and simulation pcb board for normal operation. particularly suitable for beginners
TestXF
- 在DSP开发板上调试通过的XF引脚测试程序，可以使发光二极管交替闪烁-in DSP development board debugging XF pin through the test procedure can alternately blinking LED
EMdemo
- 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
rjMCMCsa
- 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
RaoBlackwellisedParticleFilteringforDynamicBayesia
- 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 stat
ParticleFilteringforDynamicConditionallyGaussianMo
- 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
EMfor_neural_networks
- 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 Co
On-Line_MCMC_Bayesian_Model_Selection
- 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 a
Reversible_Jump_MCMC_Bayesian_Model_Selection
- 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 paramete
MCMC_Unscented_Particle_Filter_demo
- The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eri
1.2
- 本手册为XF－S3011嵌入式语音合成芯片的开发指南手册，包含芯片的各项特点功能说明、软硬件开发接口以及供客户参考的设计样例。
XF-S3011developguidev1.5
- 科大讯飞语音芯片XFS3011的开发指南，平时只能见到数据手册，只有用户或者公司内部人员才能知道开发指南
CpuTimer
- 在c5402上已实现的定时器程序，通过xf引脚输出控制led闪烁
gpiotest
- ti公司TMS320VC5509 DSP XF管脚电平控制程序，可用于测试DSP系统是否正常，或使用XF管脚生成复杂方波或高低控制电平等。
led_flash
- 5402 DSP 对XF的一个简单操作，同时实验TIMER的使用
XF_Test
- 控制XF引脚周期性变化，了解DSP程序的结构，熟悉XF引脚的功能。
nefcon
- 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 STA
high-performance-server_src
- High Performance TCP/IP Server using C#.NET