PART1
AxiomsofProbability
1.1 Introduction
1.2 Sample Space and Events
1.3 Axioms of Probability
1.4 Basic Theorems
1.5 Continuity of Probability Function
1.6 Probabilities 0 and 1
1.7 Random Selection of Points from Intervals
EE 571
1
1.1:Introduction
Ov
Chapter3
ConditionalProbabilityandIndependence
3.1 Conditional Probability
3.2 Law of Multiplication
3.3 Law of Total Probability
3.4 Bayes Formula
3.5 Independence
Conditional 3-1
3.1ConditionalProbability
Definition
IfP(B) > 0,theconditionalprobabilityo
Chapter 6
The Cellular Concept
System Design
By KF Tsang, Kenneth Woo, Tony
Chan
Chapter 6
1
1
Technical Challenges of Mobile
Communication
This chapter brings you real life
experience !
2
Outline
Technical Challenges of 3G and 4G LTE
Link Budgets 3G an
1st question: How to capture transmission
Television - the art of image an image and
Early days, camera adopted line scanning
convert it into an electrical signal?
and reception
CAMERA
TELEVISION
To scanning required now, need to
No understand scanning, w
Engineers in Society Presentation and Report Topics
Topic 1
Concerning the public image of an engineer there are at least four classic sources of
confusion: (a) the matter of science versus engineering; (b) people who perform as
engineers but possess none
Principal Components
Analysis (PCA)
Tommy W S Chow
Dept of EE
CityU
Jan 2014
1
Outline
What is feature reduction and Why?
Feature reduction algorithms
What is PCA?
Basic definitions
Computation analysis of PCA
Examples and applications
Summary
2
What is h
Mobile Communication
Examples
Example 6.2
If a signal-to-interference ratio of 15 dB is required for
satisfactory forward channel performance of a cellular
system, what is the frequency reuse factor and cluster
size that should be used for maximum capacit
Lecturer: Dr. Peter Tsang
Room: G6505
Phone: 34427763
E-mail: eewmtsan@cityu.edu.hk
Websource:Blackboard
Reference Books
Ronald K. Jurgen, Digital
Consumer Electronics Handbook,
McGraw Hill, 1997.
S.K. Chang, Principles of Pictorial
Information System D
Classification: Supervised learning,
and LDA
Introduction to Discriminant Analysis
(DA), Classification, and Linear DA
Tommy W. S. Chow
January 2014
1
RecallPCA
InPCA,themainideatore-expresstheavailabledatasettoextractthe
relevantinformationbyreducingther
Properties of Musical Sound
Subjective
Objective
Pitch
Frequency
Volume
Amplitude/power/intensity
Timbre
Overtone content/spectrum
Duration in beats
Duration in time
Direct Sound
Sound waves that travel directly from the source to the listener.
Direct Sou
Multi-dimensional Scaling (MDS)
Tommy W S Chow
CityU HK
Jan 2014
1
Multi-dimensional Scaling (MDS)
Multi-dimensional scaling (MDS) is a method that represents measurements
of similarity (or dissimilarity) among pairs of objects as distances between
points
Classification: Supervised learning,
and Model Evaluation
Classifier KNN, DT
Feb 2014
Tommy W. S. Chow
K Nearest Neighbors
lK
l
Nearest Neighbors (KNN)
Advantage
l
l
l
l
l
Nonparametric architecture
Simple
Powerful
Requires no training time
Disadvantage
l
PART1
AxiomsofProbability
1.1 Introduction
1.2 Sample Space and Events
1.3 Axioms of Probability
1.4 Basic Theorems
1.5 Continuity of Probability Function
1.6 Probabilities 0 and 1
1.7 Random Selection of Points from Intervals
EE 571
1
1.1:Introduction
Ov