职称:副教授
单位:山东科技大学
部门:电子信息工程学院
职位:系主任
主讲教师:Quan-Quan Liang (梁泉泉)、Bin Yan (颜斌)、Jian-Jun Hao (郝建军)、Gao-Yang Zhu(朱高阳)、Lin Shao (邵林)
教师团队:共5位
学校: | 山东科技大学 |
开课院系: | 电子信息工程学院 |
专业大类: | 电子信息 |
开课专业: | 通信工程 |
课程英文名称: | Random Signal Processing |
课程编号: | 211121110502 |
学分: | 2 |
课时: | 32 |
The purpose of the course "random signal processing" is analyzing and utilizing the underlying structure in random signals. These types of signals are pervasive in communication, control and signal processing. The basic tools we utilize are probability models and statistical inference. Probability models are used to describe the uncertainty and structure in random signal. Based on this model, statistical estimation and hypothesis testing can be utilized to estimate signal parameters, filter signals and detect signals. For the major of Communication Engineering, this course is a prerequisite of the following courses: Principles of Communication, Wireless Communication, and Multimedia communication, Information Theory and Coding.
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1.1 课程简介 Introduction to Random Signal Analysis |
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1.2 概率论复习 Review of Probability I |
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1.3 概率论复习 Review of Probability II |
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1.4 Concept of R.V. and Discrete R.V. |
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1.5 Continuous R. V. - Part 1 |
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1.6 Continuous R.V. - Part 2 |
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1.7 习题讲解 Problem Session |
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2.1 统计平均1 Statistical Average I: Expectation and Moments |
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2.2 统计平均2 Statistical Average II: Estimating Probability |
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2.3 自相关 Correlation |
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2.4 最小均方误差估计 MMSE Estimation |
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2.5 Central Limit Theorem |
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2.6 Sum of Random Variable |
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3.1 随机变量到随机过程 From Random Variable to Random Process |
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3.2 随机过程类型 Classification of R.P. |
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3.3 平稳随机过程 Stationary R. P. |
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3.4 随机过程的各态历经性 |
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3.5 功率谱密度 Power Spectral Density |
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3.6 高斯随机过程 Gaussian Random Process |
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3.7 白噪声 White noise |
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3.8 习题讲解 |
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4.1 多随机信号关系 Multiple Random Process: Cross Correlation Function |
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4.2 随机过程的微分和积分 |
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4.3 随机过程通过线性时不变系统 |
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4.5 习题例题讲解-课本第五章 |
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5.1 窄带随机过程的表示方法 |
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5.2 解析信号与Hilbert变换 |
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5.4 窄带噪声中的正弦信号 |
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5.5 窄带噪声的包络和相位分布 |
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6.1 Markov链 |
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6.2 泊松过程 |
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7.1.2 Discrete random variable |
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7.1.3 Continuous random variable |
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7.1.4 Your work |
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7.2.1 实验指导 |
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7.3.1 实验指导 |
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7.4.2 实现及仿真测试 |
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7.5.2 实现及仿真测试 |
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9.1 Exam paper from previous lectures |
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