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单片机开发  MC68HC908QT2 Brushless DC Fan application use freescale MC68HC908QT2

MC68HC908QT2 Brushless DC Fan application use freescale MC68HC908QT2

https://www.eeworm.com/dl/648/284001.html

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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 ...

https://www.eeworm.com/dl/665/284182.html

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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: ...

https://www.eeworm.com/dl/665/284186.html

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单片机开发  The LM628/LM629 are dedicated motion-control processors designed for use with a variety of DC and b

The LM628/LM629 are dedicated motion-control processors designed for use with a variety of DC and brushless DC servo motors

https://www.eeworm.com/dl/648/284654.html

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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 ...

https://www.eeworm.com/dl/641/284866.html

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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 ...

https://www.eeworm.com/dl/641/284868.html

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汇编语言  x86 asm piano use internal speaker

x86 asm piano use internal speaker

https://www.eeworm.com/dl/644/285302.html

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Java书籍  learn to use eclipse by example

learn to use eclipse by example

https://www.eeworm.com/dl/656/285973.html

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邮电通讯系统  This example describes how to use the ADC and DMA to transfer continuously converted data from ADC

This example describes how to use the ADC and DMA to transfer continuously converted data from ADC to a data buffer. The ADC is configured to converts continuously ADC channel14. Each time an end of conversion occurs the DMA transfers, in circular mode, the converted data from ADC1 DR register to t ...

https://www.eeworm.com/dl/690/287771.html

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VHDL/FPGA/Verilog This example shows how to use CortexM3 Bit-Band access to perform atomic read-modify-write and read

This example shows how to use CortexM3 Bit-Band access to perform atomic read-modify-write and read operations on a varaible in SRAM.

https://www.eeworm.com/dl/663/287774.html

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