电子科技大学：《贝叶斯学习与随机矩阵及在无线通信中的应用 BI-RM-AWC》课程教学资源（课件讲稿）04 Asymptotic Spectrum Theorems（2/4）

1. Continuing Mapping Theorem 2. Silverstein Theorem

6.1 Non-asymptotic Analysis: Concentration inequality 6.2 Non-asymptotic Analysis: extreme singular values

电子科技大学：《贝叶斯学习与随机矩阵及在无线通信中的应用 BI-RM-AWC》课程教学资源（课件讲稿）07 Analysis of neural networks - a random matrix approach

电子科技大学：《贝叶斯学习与随机矩阵及在无线通信中的应用 BI-RM-AWC》课程教学资源（课件讲稿）05 Free Probability

电子科技大学：《先进计算机网络技术》课程教学资源（课件讲稿）Introduction（冯钢）

 What and why is traffic shaping and traffic policing  Leaky Bucket  Token Bucket Traffic  Generic Cell Rate Algorithm (GCRA) -Virtual scheduling algorithm implementati - Leaky bucket algorithm implementation

• Why packet drop • Classification of drop strategies • IP Active Queue Management(AQM) - RED - FRED - BLUE - RIO • Case study: Performance of Selective Discard

• Overview of QoS in IP networks • Integrated Service model (IntServ) • Resource Reservation Protocol (RSVP) • Differentiated Services model (DiffServ)

• Introduction to Traffic Engineering • Historical and Present Traffic Engineering Approaches • Recommendations for Internet Traffic Engineering • Contemporary TE Practices in Operational IP Networks