📚 tri-state技术资料

📦 资源总数：247

💻 源代码：60359

探索TRI-state技术的精髓，掌握数字电路设计的关键。TRI-state门以其独特的高阻态特性，在总线系统、多路复用器及复杂逻辑控制中发挥着不可替代的作用。通过深入学习TRI-state相关资源（共247个），您将能够构建更加灵活高效的电子系统。无论是初学者还是资深工程师，这里都有适合您的资料，助您在嵌入式开发、微处理器接口等领域游刃有余。立即加入我们，开启您的专业成长之旅！

🔥 tri-state热门资料

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HMM(Hidden Markov Model)

HMM(Hidden Markov Model)，狀態數目N=3，觀察符號數目M=2，時間長度T=3。 (a) Probability Evaluation: 給定狀態轉換機率A、狀態符號觀察機率B、和起始機率，求觀察序列出現的機率。 (b) Optimal State Sequence:...

📅 2014-08-28 👤 heart520beat

Hidden Markov Model HMM

county, random population coordinates were generated using the complete spatial randomness (CSR) fun

county, random population coordinates were generated using the complete spatial randomness (CSR) function in S-PLUS. Then, the background information ...

📅 2014-01-18 👤 hn891122

coordinates population randomness generated

this demo is to show you how to implement a generic SIR (a.k.a. particle, bootstrap, Monte Carlo) fi

this demo is to show you how to implement a generic SIR (a.k.a. particle, bootstrap, Monte Carlo) filter to estimate the hidden states of a nonlinear,...

📅 2014-11-10 👤 caozhizhi

a.k.a. bootstrap implement particle

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 interpr...

📅 2013-12-17 👤 zsjzc

filtering particle Blackwellised conditionall