ECE 550
Channel Coding
Fundamental Limits of Performance
Shannons Channel Capacity Theorem
C = B log2cfw_1 + [S/(NoB)]
Noise density, W/Hz (const)
Received signal power, W
Bandwidth, Hz
Capacity (data
Chapter2
SignalandSystemsandFourierSeriesand
Transformation
Supplements
I.
The Properties of Delta Function
g (t )d (t  t0 ) = g (t0 )d (t  t0 )
1.
g (t )d (t  t )dt =g (t )
0
0

g
d
(t )d (t  t
Chapter7
RandomSignalsandNoise
1Page
1. Probability and Random Variable
Random phenomena: outcomes are random but demonstrate statistically properties.
Sample space is the union of all possible event
Chapter4
PulseModulation
1. Sampling Theorem
1) FourierTransformationofaperiodicsignal
As we know from Fourier series: a periodic signal can be expressed by a set of complex
exponentials.
n=
gT0 (t )
Chapter5
BasebandDataTransmission
1. Baseband Transmission of Digital Data
cfw_ak
y (t )
x(t )
s (t )
Tx filter
G(f)
Channel
H(f)
Rx filter
Q(f)
Tx
Channel
Rx
Demodulation
Figure 1 The diagram of bas
Digital Communications
Chapter 4. Optimum Receivers for AWGN Channels
PoNing Chen, Professor
Institute of Communications Engineering
National ChiaoTung University, Taiwan
Digital Communications. Cha
1
Digital Transmission
of Analog Data:
PCM and Delta Modulation
Required reading:
Garcia 3.3.2 and 3.3.3
CSE 3213, Fall 2010
Instructor: N. Vlajic
Digital Transmission of Analog Data
Digitization proc
Digital Communications
Chapter 3: Digital Modulation Schemes
PoNing Chen, Professor
Institute of Communications Engineering
National ChiaoTung University, Taiwan
Digital Communications: Chapter 3
Ve
336
TRANSACTIONS IRE
ON COMMtJNICATIONS SYSTEMS
,
December
On the Optimum Detection of Digital Signals in the Presence o White Gaussian Noisef A Geometric Interpretation and a Study of ThreeLBasicIDat
Part I
Signal Processing and Detection
1
Contents
I
Signal Processing and Detection
1
1 Fundamentals of Discrete Data Transmission
1.1 Data Modulation and Demodulation . . . . . . . . . . . . . . . .
Chapter2
SignalandSystemsandFourierSeriesand
Transformation
1. Basics of Signals and Systems
1) Definition
In communications, a signal represents a physical variable, such as electric voltage, electri