ECEN 4652/5002
Communications Lab
Spring 2014
2-23-15
P. Mathys
Lab 7: Amplitude Modulation with Suppressed Carrier
1
Introduction
Many channels either cannot be used to transmit baseband signals at all, or pass signal
energy very ineciently, except for a
MATCHED FILTERS
The matched filter is the optimal linear filter
for maximizing the signal to noise ratio (SNR)
in the presence of additive stochastic noise.
Matched filters are commonly used in radar,
in which a signal is sent out, and we measure
the refl
Matched Filters
1. Consider the signal s (t ) shown in Fig. 1.
(a) Determine the impulse response of a filter matched to this signal and sketch it as
a function of time.
(b) Plot the matched filter output as a function of time.
s1 (t )
A/ 2
T /2
T
t
A/ 2
Overview of AMC in LTE
Gwanmo Ku
Adaptive Signal Processing and Information Theory Research Group
Jun. 15, 2012
Outline
2/17
LTE Basic
Why LTE
LTE Network / Resources / Frame Structure
LTE in US (Verizon)
AMC in LTE
Why AMC?
Channel Condition : CQI Report
University of Waterloo
Coding & Signal Transmission Laboratory
Department of Electrical & Computer Engineering
Waterloo, Ontario, Canada, N2L 3G1
Technical Report UW-E&CE#2002-15
Adaptive Modulation and Coding in 3G
Wireless Systems
James Yang, Amir K. Kh
Matched-Filter Detection on Mac
27. Matched-Filter Detection
Random Signals Through Linear Systems Consider the effect of passing a random signal (message or noise) through a linear system with a transfer function H(f), as shown in Figure 27.1 (a). Let G
1
International Journal of Communication Networks and Information Security (IJCNIS)
Vol. 1, No. 2, August 2009
Adaptive Modulation for OFDM Systems
J.Faezah1, and K.Sabira2
1
Centre for Foundations Studies and Extension Education, Multimedia University,
7
Cross-Layer Combining of
Adaptive Modulation and
Coding with Truncated ARQ
over Wireless Links
IEEE Transactions on Wireless Communications, 2004
Authors : Q. Liu, S. Zhou and G. Giannakis
Outline
Overview
Motivation
System & Channel Model
Truncated A
Adaptive Modulation and Coding with Hybrid-ARQ
for Latency-constrained Networks
Tania Villa , Ruben Merz , Raymond Knopp , Uday Takyar
Eurecom
Telekom Innovation Laboratories
EPFL, School of Computer and Communication Sciences
tania.villa@eurecom.fr, r
TSG-RAN Working Group 1 Meeting #18
TSGR1#18(01)0031
Boston, USA
January 15-18, 2001
Source:
Title:
Agenda Item:
Document for:
Panasonic
Proposal of bit mapping for type-III HARQ
AH24 (HSDPA)
Discussion
1. Introduction
In this contribution we propose a bi
Experiment 3: Double Sideband Modulation (DSB)
This experiment examines the characteristics of the double-sideband (DSB) linear modulation process.
The demodulation is performed coherently and its strict requirement for a perfect synchronization to the
ca
Part-I
Experiment- 4 Double Sideband Suppressed
Carrier(DSB SC).
1
1.
1.1
Introduction
Objectives
This experiment deals with the basic of various amplitude modulation techniques for analog communication. The student will
learn the basic concepts of amplit
EE 179
Digital and Analog Communication Systems
Homework #2 Solutions
April 21, 2014
Handout #16
1. Operations on signals (Lathi & Ding 2.3-3). For the signal g(t) shown below, sketch:
a. g(t 4);
b. g(t/1.5);
c. g(2t 4);
d. g(2 t).
Hint: Recall that repla
MCS 320
Introduction to Symbolic Computation
Spring 2008
MATLAB Lecture 7. Signal Processing in MATLAB
We have seen how to t data with polyt and how to design shapes with spline. In this lecture we
cover another way to deal with approximate data, which is
EE 179, Lecture 4, Handout #6
Review of Last Lecture
Signals can be categorized:
real-valued vs. complex-valued
analog vs. digital
continuous time vs. discrete time
deterministic vs. random
Signals can be measured:
mathematically, by functionals
physicall
EE 179, Lecture 5, Handout #7
Review: Fourier Series of Square Wave
Square wave with period 2.
1
0.5
0
8
6
4
2
0
2
4
6
8
Square wave with period 2 is determined by values in [, ]:
w(t) =
1 |t| < /2
0 < |t| < /2
Square wave is a 1-bit quantization of cosin
EE 179, Lecture 6, Handout #9
Review: Fourier Series Notations
Trigonometric series:
an cos n0 t + bn sin n0 t
a0 +
n=1
or
n=1
n=1
bn sin 2nf0 t
an cos 2nf0 t +
a0 +
Compact trigonometric series:
Cn sin(2nf0 t + n )
C0 +
n=1
Exponential Fourier series:
Dn
EE 179
Digital and Analog Communication Systems
Homework #3
Due Wednesday, April 23
April 16, 2014
Handout #13
1. DSB-SC modulator (Lathi & Ding 4.2-3). You are asked to design a DSB-SC modulator to generate
a modulated signal km(t) cos(c t + ), where m(t
EE 179
Digital and Analog Communication Systems
Homework #2
Due Wednesday, April 16
April 9, 2014
Handout #8
1. Operations on signals (Lathi & Ding 2.3-3). For the signal g(t) shown below, sketch:
a. g(t 4);
b. g(t/1.5);
c. g(2t 4);
d. g(2 t).
Hint: Recal
EE 179, Lecture 7, Handout #10
Important Fourier Transforms
Shifted impulse (t t0 ):
Fcfw_(t t0 ) =
(t t0 )ej2f t dt = ej2f t0
This is a complex exponential in frequency. By duality,
Fcfw_ej2f0 t = (f f0 )
Sinuoids:
1
Fcfw_cos 2f0 t = Fcfw_ 1 (ej2f0 t +
2. Double-Sideband Suppressed Carrier Modulation (DSB-SC)
In full AM (DSB-AM), the carrier wave c(t) is completely independent of the message signal
m(t), which means that the transmission of carrier wave represents a waste of power.
This points to a shor
Math 1234
Spring 2012
Exam 2
3/28/12
Time Limit: 50 Minutes
Name (Print):
Teaching Assistant
This exam contains ? pages (including this cover page) and ? problems. Check to see if any
pages are missing. Enter all requested information on the top of this p
1. Codification
a. FASB Codification - Topic#330, Subtopic#10 Overall is the primary authoritative guidance for the
accounting for inventories. The predecessor literature that governed accounting for inventories is
Accounting Research Bulletins (ARB) No.4
Managerial Communication Writing Exercise
In this exercise I was given two different examples to critique. I will list all my changes below on how I
think each of these could be changed to make them better. Example one is feel is written better than
examp
Experiments in Sampling, Reconstruction, and Filtering
KST, 4/2002
Introduction
This note describes some simple experiments in MATLAB to illustrate the sampling and reconstruction
processes, and the implementation of filtering concepts.
The required theor