EE6617Detection and Estimation - Theory and Applications in Communications

这门课学什么

课程简介

The course provides students with principles in three areas of Estimation and Detection: - Estimation and Detection theory - Statistical signal processing and optimization - Applications in Communications.

校方 PDF 第 2 页 · Abstract

课程内容

Fundamentals Vector spaces, linear subspaces, random variables, probability density function, cumulative distribution function, statistical signal representation. Detection and estimation theory Hypothesis testing, Neyman-Pearson criterion, minimum probability error detector, non-coherent detection, parameter estimation, minimum variance estimation, Cramer-Rao bound, maximum likelihood estimation, least squares, Bayesian estimator Applications to communications and signal processing The mini-projects are designed to supplement the lecture aspects of the course, and will provide practical learning experience on how various detection and estimation techniques are applied to design communication and signal processing systems.

校方 PDF 第 5–6 页 · Keyword Syllabus

预期学习成果

查看校方学习成果与对应条件

CILOs                                                 Weighting (if DEC-A1       DEC-A2          DEC-A3
                                                                     app.)
1              Engage in exploring and discussing the general                       x           x
               frameworks in detection and estimation through
               interactive learning activities, enhancing
               conceptual understanding.
2              Collaboratively identify detection and                               x           x
               estimation problems, applying mathematical
               formulations, statistical signal processing skills,
               and optimization tools in group problem-solving
               scenarios.
3              Apply detection and estimation techniques                            x           x               x
               to practical problems in communications
               and signal processing through hands-on
               applications, fostering critical thinking and
               practical skills.

校方 PDF 第 2 页 · Course Intended Learning Outcomes (CILOs)

我能不能修这门课

先修、建议先备和并修要求分别查看；等同及互斥条件也会影响选课。and 表示同时满足，or 表示备选；组合条件按下方原文分组阅读。

先修条件

无（校方注明 Nil）

校方 PDF 第 1 页 · Prerequisites

建议先备知识

EE3210 Signals and Systems; or EE3008 Principles of Communications; or Courses in Signal Processing and Communications

校方 PDF 第 1 页 · Precursors

并修要求

该版官方课纲未列明该项。

其他修读要求

该版官方课纲未列明该项。

等同课程及条件

无（校方注明 Nil）

校方 PDF 第 1 页 · Equivalent Courses

互斥课程及条件

无（校方注明 Nil）

校方 PDF 第 1 页 · Exclusive Courses

怎么考，怎样才算通过

考核方式

Continuous Assessment (%): 50; Examination (%): 50; Examination Duration (Hours): 2

查看校方原始考核表与使用要求

ATs                          CILO No.                     Weighting (%)   Remarks (e.g. Parameter
                                                                                         for GenAI use)
1              Tests (min.: 2)              1, 2, 3                      30
2              #Assignments (min.: 3)       1, 2, 3                      20

校方 PDF 第 3 页 · Continuous Assessment (%),Examination (%),Examination Duration (Hours)

通过条件

Remark: To pass the course, students are required to achieve at least 30% in course work and 30% in the examination. # may include homework, tutorial exercise, project/mini-project, presentation

校方 PDF 第 4 页 · Additional Information for ATs