Assignment and marking criteria added in that
Assignment 1 and Submission Guidelines School School of Information Technology and Engineering Course Name Master of Engineering (Telecommunications) Unit Code ME606 Unit Title Digital Signal Processing Assessment Author Dr. Reza Berangi Assessment Type Assignment 1(Individual) Assessment Title Study of decimation and interpolation techniques Unit Learning Outcomes covered in this assessment a., c., d. Weight 10% Total Marks 100 Word/page limit 10 Release Date Week 4 Due Date Week 8 Submission Guidelines All work must be submitted on Moodle by the due date along with a completed Assignment Cover Page. The assignment must be in MS Word format, single line spacing, 11-pt Calibri (Body) font and 2 cm margins on all four sides of your page with appropriate section headings. Reference sources must be cited in the text of the report, and listed appropriately at the end in a reference list using IEEE referencing style for School of Business and School of Information Technology and Engineering respectively. Extension If an extension of time to submit work is required, a Special Consideration Application must be submitted directly through the AMS. You must submit this application three working days prior to the due date of the assignment. Further information is available at: http://www.mit.edu.au/about-mit/institute-publications/policies-procedures- and-guidelines/specialconsiderationdeferment Academic Misconduct Academic Misconduct is a serious offence. Depending on the seriousness of the case, penalties can vary from a written warning or zero marks to exclusion from the course or rescinding the degree. Students should make themselves familiar with the full policy and procedure available at: http://www.mit.edu.au/about- mit/institute-publications/policies-procedures-and-guidelines/Plagiarism- Academic-Misconduct-Policy-Procedure. For further information, please refer to the Academic Integrity Section in your Unit Description. http://www.mit.edu.au/about http://www.mit.edu.au/about http://www.mit.edu.au/about-mit/institute-publications/policies-procedures-and-guidelines/special-considerationdeferment http://www.mit.edu.au/about-mit/institute-publications/policies-procedures-and-guidelines/special-considerationdeferment http://www.mit.edu.au/about-mit/institute-publications/policies-procedures-and-guidelines/special-considerationdeferment http://www.mit.edu.au/about-mit/institute-publications/policies-procedures-and-guidelines/special-considerationdeferment http://www.mit.edu.au/about-mit/institute-publications/policies-procedures-and-guidelines/special-considerationdeferment http://www.mit.edu.au/about-mit/institute-publications/policies-procedures-and-guidelines/special-considerationdeferment http://www.mit.edu.au/about-mit/institute-publications/policies-procedures-and-guidelines/special-considerationdeferment http://www.mit.edu.au/about-mit/institute-publications/policies-procedures-and-guidelines/special-considerationdeferment http://www.mit.edu.au/about-mit/institute-publications/policies-procedures-and-guidelines/special-considerationdeferment http://www.mit.edu.au/about-mit/institute-publications/policies-procedures-and-guidelines/special-considerationdeferment http://www.mit.edu.au/about-mit/institute-publications/policies-procedures-and-guidelines/special-considerationdeferment http://www.mit.edu.au/about-mit/institute-publications/policies-procedures-and-guidelines/special-considerationdeferment http://www.mit.edu.au/about-mit/institute-publications/policies-procedures-and-guidelines/Plagiarism-Academic-Misconduct-Policy-Procedure http://www.mit.edu.au/about-mit/institute-publications/policies-procedures-and-guidelines/Plagiarism-Academic-Misconduct-Policy-Procedure http://www.mit.edu.au/about-mit/institute-publications/policies-procedures-and-guidelines/Plagiarism-Academic-Misconduct-Policy-Procedure © MIT/SITE | ME606 Digital Signal Processing Laboratory Exercise 4 Page 2 of 4 ME606 Assessment 1 1 Introduction The objective of this assessment is for each student is to undertake an investigative review of the literature and study and familiarize with the techniques of decimation and interpolation. 2 Part A: Review of Decimation and Interpolation techniques In this part, student must review some of the basic interpolation techniques. The student must select one of the following study areas: 1- A detailed review of algorithms for image interpolation using Discrete cosine transform (DCT) and fast Fourier transform (FFT). 2- A detailed review of polynomial interpolations techniques (including spline) and their applications. 3- A detailed review of Inverse Distance Weighting interpolation (IDW) and Kriging method and their applications. Compare and contrast the various methods in use in a written report of not less than four (4) A4 pages with single line spacing length. Do not use Wikipedia for this assessment. 3 Part B: Signal decimation Using Matlab 1. Load the signal “x” into your workspace by using the command “load original_signal.mat”. “x” has 200000 samples with a sampling frequency of 24 Mega samples per second taken from a modulated baseband signal. 2. Plot the first 2000 samples of this signal. 3. Decimate the signal by 3 times using the command “y=x(1:3:end);” 4. Find the power spectrum of “x” and “y” using the MATLAB periodogram and draw them in dB on one axis. Set the FFT size 512. Discuss the similarities and differences of the spectrums. % power sperctrum of the signal x Fs=24e6; [pxx,fxx] = periodogram(x,hanning(length(x)),512,Fs,'power'); figure;plot(fxx,10*log10(pxx)) % power sperctrum of the signal y Fs=Fs/3; [pxx,fxx] = periodogram(y,hanning(length(y)),512,Fs,'power'); hold on;plot(fxx,10*log10(pxx)) 5. Zero pad (up-sample) the “y” signal sample with 2 zeros in the middle of adjacent samples to increase the sampling frequency by 3 times. And call the resultant signal “zy”. % sample code [loop based] zy=[]; for k=1:length(y) zy=[zy y(k) 0 0]; end © MIT/SITE | ME606 Digital Signal Processing Laboratory Exercise 4 Page 3 of 4 % similar sample code [vector based] zy0=[y;zeros(2,length(y))]; zy=reshape(zy0,1,length(y)*3); 6. Load a root raised cosine filter impulse response, h, from the given file “rrc_filter.mat” into your workspace using the command “load rrc_filter.mat;” 7. Filter your signal (“zy”) using the command “yzf=conv(x,h);”. 8. Find the power spectrum of “yzx” and “yz” in dB and draw them on one axis. 9. Discuss the zero-padding and filtering effects on the signal spectrum. 10. Use the cubic spline interpolation in MATLAB to interpolate the signal “y” using the command “ys= interp1(1: length(y), y,1:1/3:length(y), ‘spline’);”. 11. Draw the spectrum of “ys” and compare it with the result of section 8. 12. Repeat section 10 and 11 by changing the method to ‘linear’ and ‘nearest’. 13. Filter the signals “ys” in section 12 with the given filter and find and draw the spectrum and discuss the result. 14. Give an overview of the work you have done and discuss the strength and weakness of each used interpolation methods in Part B. 4 Format of Report Your report should be in three parts: Part I, literature review report; Part II detail of your Matlab code works and Part III an overview of the work you have done on Part B and discuss on the strength and weakness of each used interpolation methods. Your report should have a reference list at the end of the report. The report should not be more than 10 A4 pages long (11-point font size using Calibri font type). Marking criteria Part I, II and III: Marks are allocated as follows: Section to be included in the report Description of the section Marks Literature Review on one of the 3 study areas 1- A detailed review of algorithms for image interpolation using Discrete cosine transform (DCT) and fast Fourier transform (FFT) 2- The polynomial interpolations techniques (including spline). 3- The Inverse Distance Weighting interpolation (IDW) and the Kriging method 30 decimation and interpolation (body of your work) Working Matlab code for decimation, and interpolation demonstration in Part B 30 Discussion Detailed discussion on the result obtained on Part B 20 © MIT/SITE | ME606 Digital Signal Processing Laboratory Exercise 4 Page 4 of 4 Reference style Correct IEEE referencing 10 Poor writing Poor writing style, not putting captions and figure numbers, not numbering equations, copy and pasting of figures without referencing them, inability to explain concepts, wrong grammar and typographical errors will lead to loss of marks. 10 Plagiarism Type of plagiarism - Copying of Matlab codes - Copy of other peoples works and journal articles - Contract cheating -100% Marking Rubric for Exercise Answers Grade Mark HD 80%+ D 70%-79% CR 60%-69% P 50%-59% Fail< 50% excellent very good good satisfactory unsatisfactory evaluation logic is clear and easy to follow with strong arguments consistency logical and convincing mostly consistent and convincing adequate cohesion and conviction argument is confused and disjointed sophistication and effectivity the presented solution demonstrated an extreme degree of sophistication the presented solution demonstrated a high degree of sophistication the presented solution demonstrated an average degree of sophistication and effectivity to secure the presented solution demonstrated a low degree of sophistication and effectivity to secure the presented solution demonstrated a poor degree of sophistication and effectivity to secure explanation all elements are present and well integrated. components present with good cohesion components present and mostly well integrated most components present lacks structure. reference style clear styles with excellent source of references. clear referencing/ style generally good referencing/style unclear referencing/style lacks consistency with many errors report structure and report presentation proper writing. professionally presented properly written, with some minor deficiencies mostly good, but some structure or presentation problems acceptable presentation poor structure, careless presentation the end 50%="" excellent="" very="" good="" good="" satisfactory="" unsatisfactory="" evaluation="" logic="" is="" clear="" and="" easy="" to="" follow="" with="" strong="" arguments="" consistency="" logical="" and="" convincing="" mostly="" consistent="" and="" convincing="" adequate="" cohesion="" and="" conviction="" argument="" is="" confused="" and="" disjointed="" sophistication="" and="" effectivity="" the="" presented="" solution="" demonstrated="" an="" extreme="" degree="" of="" sophistication="" the="" presented="" solution="" demonstrated="" a="" high="" degree="" of="" sophistication="" the="" presented="" solution="" demonstrated="" an="" average="" degree="" of="" sophistication="" and="" effectivity="" to="" secure="" the="" presented="" solution="" demonstrated="" a="" low="" degree="" of="" sophistication="" and="" effectivity="" to="" secure="" the="" presented="" solution="" demonstrated="" a="" poor="" degree="" of="" sophistication="" and="" effectivity="" to="" secure="" explanation="" all="" elements="" are="" present="" and="" well="" integrated.="" components="" present="" with="" good="" cohesion="" components="" present="" and="" mostly="" well="" integrated="" most="" components="" present="" lacks="" structure.="" reference="" style="" clear="" styles="" with="" excellent="" source="" of="" references.="" clear="" referencing/="" style="" generally="" good="" referencing/style="" unclear="" referencing/style="" lacks="" consistency="" with="" many="" errors="" report="" structure="" and="" report="" presentation="" proper="" writing.="" professionally="" presented="" properly="" written,="" with="" some="" minor="" deficiencies="" mostly="" good,="" but="" some="" structure="" or="" presentation="" problems="" acceptable="" presentation="" poor="" structure,="" careless="" presentation="" the="">