EE511 FALL 2008
INTRODUCTION TO COMMUNICATION
SYSTEMS
12-22-08
SYLLABUS
Home work and
class schedule
V2 Data
(ABlist05.m)
V2
DSSS Description
V4
Flat Top Sampling Model
V6
ISI Instructions
Additional
Problem
HW 7: Nodal Analysis of BPF
LECTURE NOTES
Lecture 1
Lecture 2
Lecture 3
Lecture 4 FT continued
Lecture 5 FT
Convolution Proof
Lecture 6 FT
continued
Lecture 7 PSD
and Orthogonality
Lecture 8 Fourier Series
Expansion
Lecture 9 More
Fourier Transforms and Fourier Series Expansions
Lecture
9B Linear Systems and Power Transfer Function
Lecture 10 Discrete Fourier
Transform
Lecture 11
SamplingTheoryImpulseSampling
Lecture
12 AntiAlieasingNaturalSampling
Lecture 13 Time
Division Multiplexing
Lecture
14 Eye Diagrams, Differential Coding, Cosine Rolloff and Pulse Width Modulation
Lecture
14B Integrate and Dump, Delta Modulation
Lecture 14C
Active Filter Design
Lecture 14D
Nodal Analysis of Active Filters
Lecture 15 Double Side
Band Suppressed Carrier Modulation
Lecture 15B
Signal Distortion Measures
Lecture 16 Phase Lock Loop
Lecture 17
Super-heterodyne Receiver
Lecture 18 Single Side
Band
Lecture 19 Hilbert
Transform and Vestigal Side Band
Lecture 20 Quadrature
Modulation
Lecture 21 FM and PM
Modulation
Lecture 22 FM Stereo
Lecture 23
Binary Modulation Methods
Lecture
Optional Weavers Method
FINAL PROJECT
RESULTS
FIRST PLACE:
Demodulasaurus_Rex: 262143 12-18-08
Christopher Leedy and Mike Pawelczyk
SECOND PLACE:
HS: 65536 12-18-08
Harikrishnan Unnikrishnan and Satoru Tagawa
GROUP
BITS/PACKET
DATE
NUMBER GRADE
EE51108 Baseline 32768 12-17-08
Demodulasaurus_Rex: 262143 12-18-08
Christopher Leedy and Mike Pawelczyk
HS: 65536 12-18-08
Harikrishnan Unnikrishnan and Satoru Tagawa
vgunkp08: 32768 12-11-08
Venkatesh
Gutta and Narendra Kumar Polani
swebhav08: 32768 12-15-08
Swetha
Sree Nimmagadda and Durga-Bhavani Mupparty
shrianu08 32768 12-16-08
Shripriya Poduri and Anusha Raghunathan
SCORING:
This
is a competitive format so the scoring is based on a dynamic scale. The score
is SCORE = A * Nbit + B where A and B
are determined from the following two equations:
100
= A * Nbmax + B
75
= A * 32768 + B
where
Nbmax is the highest number of bits transmitted and received without error. The
baseline ran at 32768 bits.
PROTOCOL
for FINAL PROJECT
Student sends the bit matrix size,
modulator and demodulator m files to instructor. All the files sent to the
instructor have the "groupname" as a prefix so the instructor can
keep the track of the individual group m files and data.
1. BIT MATRIX SIZE (student sends
this to instructor): The student is ranked by the total number of bits that can
be transmitted through the channel. The bit matrix is 2 dimensional. It has a
length Nbit (column dimension) and a width of Nseq (row dimension). These
values, named "Nbit" and "Nseq", along with a character
string containing "groupname", they are stored in a file called "groupname_Bsize.mat."
An example m file is "groupname_createBsize.m".
Group sends instructor this m file to initiate test.
2. BIT MATRIX (instructor generates
this based on groupnameBsize values): The bit matrix is generated and stored in
a file called groupname_B.mat and the matrix is called B. A sample code that
will generate a Nseq x Nbit bit matrix B is "Bgen08.m." I will use Bgen to generate
a random sequence of bits of the size specified by the student in
"groupnameBsize.mat."
3. MODULATOR (student sends the
modulator m file to the instructor): A modulator m file by the name "groupname_modulator.m"
will be sent to the instructor. Its input is the file named
"groupname_B.mat." The program will create a 1 x N real vector
"s" and a Nseq x N, bit check matrix, called "Bcheck." The
signal vector will be stored in "groupname_signal.mat" and the bit
check matrix is stored in "groupname_Bcheck.mat." The length is
N=1048576=131072*8. The Bcheck matrix (Nseq x N) has 3 element values +1 for a
bit value of "1" to be present, -1 for a bit value of
"0" to be present and 0 for "don't care."
4. CHANNEL (instructor will run
this program, channel08.m, on vector s). The channel will do
two things, lowpass filter and then add noise. The signal vector s0 is convolved
with the Butterworth low pass filter of order 8 and fc=(N/32), yielding a
bandlimited signal vector s. It also has a bandpass componet centered at
f0=N/8. The noise is based on the value sigma=0.1*(max(s)-min(s)) and is
generated by w=sigma*randn(1,N). The noisy vector is sn=s+w. The output of the
channel will be a real one dimensional vector, "r", of size 1xN. This
r vector will be stored in groupname_r.mat.
5. DEMODULATOR/BINARIZER (student
sends the demodulator.m file to the instructor): A demodulator file by the name
"groupname_demodulator.m"
will be sent to the instructor. Its input file is groupname_r.mat. Its
output will be a Nseq x N real matrix. Each row of the matrix will represent
the demodulated and binarized bit stream defined in B. This output will be
stored in "Bs" and saved to the file groupname_Bs.mat. NOTE: The
demodulator should also binarize the signals in Bs to have values of either 1
or 0.
6. BIT CHECK (instructor will run
bitcheck, bitcheck08.m, to test the students data for
errors): The instructor will run a program that will input the groupname_B.mat
file, groupname_Bcheck.mat file and the groupname_Bs.mat file. The program will
go to each value of 1 or -1 in the Bcheck matrix and see if the associated
element in the Bs matrix is (1) if Bcheck is 1, then Bs value must be 1 (above
0.5), (2) if Bcheck is -1, then Bs must be 0 (below 0.5). For each element of
Bcheck that is 0 (between -0.5 and +0.5) the associated value in Bs is ignored.
The resulting values will be verified with the B matrix. To be acceptable,
there must not be any errors in either the number of ones and zeros or the
specific bit values when compared to B. The results will be posted on the
web.
Additional
m files include:
binarize.m
irect.m
lp_butterworth_oN_dft.m
bp_butterworth_oN_dft.m
V7
Mixer and DSBSC Description
FAQs
MATLAB:
- Where
is a manual for MATLAB? Try the library first. Most students only use the
manual in the very beginning of their MATLAB experience. Once into it, the
language is intuitive enough and there are enough sample M files that
learning MATLAB is somewhat self-sustaining without manuals. Type
"matlab" to execute intepreter, "help ?" to see listing
of operators, "help" for listing of functions, "who"
to see active variables, "what" for listing of M files and
always use "clear" to start over again.
- How do
you initialize the dimension of a variable? One way is to initialize its
values by zeros(M,N) or ones(M,N). Ex: A=zeros(10,8) is a 10 x 8 matrix of
zeroes. Another function is "ones" which works the same way as
"zeros". Another method is nested loop, ie., 1:5 loops from 1 to
5 so A(1:5)=3:7 will store the values 3 to 7 in the first 5 elements of A.
