应用随机过程——期末复习笔记 [参考教材]：刘次华.随机过程（第五版）[M].武汉:华中科技大学出版社,2014 考试形式：八道大题，5道简单题(每题10分)，2道解答题(每题20分)，1道证明题(10分，证明题一般为证明平稳过程) 预备知识 特征函数 \[ g(t)=E[e^{itx}]=\int_{-\infty}^{+\infty} e^{itx}dF(x) \]

Lecture 10 电波传播的基本原理

电力线缆的寿命预测模型 电力线缆的寿命预测模型可以分为如下几类：阿伦尼乌斯模型(Arrhenius model)、逆幂律模型(Inverse Power Low)、指数衰减模型(exponential decay model) <span class="hint--top hint--rounded" aria-label="Chinh Dang, J. . -L. Parpal

多目标遗传算法：NSGA和NSGA-II N. Srinivas and K. Deb, "Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms," in Evolutionary Computation, vol. 2, no. 3, pp. 221-248, Sept. 1994,

Logic Gate Characteristics The Tristate Gate Tristate gate, has three output states. - An additional control input. - The control input is at logical 1 the gate behaves as an ordinary logic gate.

Programmable Logic A dedicated logic circuit will only perform the function it was designed to implement. A combinational circuit behaves according to its truth table, whereas a sequential circuit

Sequential Logic 2: Circuit Design Next State Feedback Logic The sequenctial logic circuit operating the external inputs and internal state, feedback to form internal inputs, which is called next

多目标优化遗传算法综述 Multi-objective optimization using genetic algorithms: A tutorial. Abdullah Konak, et al. 帕累托最优理论 在数学上，多目标优化问题可以被公式化为如下表述： 如果多目标问题的每一种解都可以使用\(n\)维空间\(X\)中的一个的向量进行表示：\(\boldsymbol{

并行遗传算法 A Survey of Parallel Genetic Algorithms, Erick Cantu-Paz. 并行化的基本思想是将一个任务分解为彼此独立而且可以同时解决的若干个子任务。遗传算法的执行流程具有潜在的可以将整个任务独立分解为多个独立子任务的特性，这样的性质称为隐式并行性。目前并行的遗传算法可以大致分为三类： 主从遗传算法(master-slave GA

Sequential Logic 1: Types of Flip-Flops Sequential logic circuit A sequential logic system with feedback connections from the output called internal inputs. User cannot control the internal input