EE511 FALL 2004

INTRODUCTION TO COMMUNICATION SYSTEMS

12-16-04

SYLLABUS

 

FINAL PROJECT RESULTS

FIRST PLACE: GrouptoBeat

SECOND PLACE: Ramrod

THIRD PLACE: Second Year Seniors

 

GROUP                                                                                 BITS/PACKET          DATE                         COMMENT

 

GrouptoBeat: Alicia Mylin, Tony Tzouanakis                                 47654                     12-15-04
Daniel Sullivan, Justin Butcher 

Ramrod: Luke Feinauer, Jacob Croley,                                            43690                     12-14-04
Jeannette Djigbenou, Zak Hays
 
Second Year Seniors:                                                                       42500                     12-15-04                dated 8:38pm
John Cooper, Isaac Fedyniak, Tim Arrowsmith
 
A Team: Justin Woodson, Jonathon Parker,                                     22000                     12-15-04
Stephen Hitchcock, Ian Tomblinson.                 

 

JEBY: Chris Jenkins, Brian Elmer,                                                   17476                     12-15-04
Taylor Begley, Jonathan Yagel
 
ThunderCats:Tarik Aweimrin,Jake Watson,                                   8192                       12-15-04
Maraud Gorjian, Brandon Thompson  
 
IntheRunning: David Dressman, Nate Gay, Karthik                      8192                       12-16-04                late
 
Icebox: Mike Day, Colin Finucane, Brent Sundheimer                    16                           11-17-04                need MATLAB signal processing subroutine

 

EE51104                                                                                             8192                12-14-04                     BASELINE SYSTEM

 

 

 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

70 = A * 8192 + B

where Nbmax is the highest number of bits transmitted and received without error.

PROTOCOL for FINAL PROJECT

updated 11-12-04

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 "Bgen04.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=524288=65536*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, channel04.m, on vector s). The channel will do three things, lowpass plus bandpass filter and then add noise. The signal vector s0 is convolved with the Butterworth low pass filter of order 8 and fc=(N/16)/5, yielding a bandlimited signal vector s. Added to this is a bandpass component with bandwidth of about (N/16) and center frequency of 3*(N/16). The noise is based on the value sigma=0.2*(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, bitcheck04.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

Home work and class schedule

Graders: Please return grades, by email, on XLS form provided below.  Visualizations are treated as one homework problem. Homework grade should be between 0 and 100 points.  I suggest weighting everything equally, including the individual problem parts.  Also, to expedite the grading, grade each problem part as correct (full credit), partially correct (half credit) or completely wrong (0 credit).  You will receive 2 copies of the solutions, keep one and put one in the library ee511 folder. In addition to dropping your lowest homework, for grading, you will be allowed to drop 2 more homeworks, one must be the one you grade and then the other is which ever is lowest.

Class Roster and Grader Assignment

V2 Data (ABlist04.m)

V2 DSSS Description

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.