1. 11/22/2015J. M. Sebeson ECET-430 Advanced Digital Signal Processing

2. 11/22/2015J. M. Sebeson Important Information zYour professor: John Sebeson zPhone: (630)-652-8299 zEmail: jsebeson@devry.edu or sebeson@aol.com zWeb page: http://jsebeson.webs.comhttp://jsebeson.webs.com zThis course does not use the eCollege shell zOffice hours: see my faculty web page

3. 11/22/2015J. M. Sebeson Course Resources Web Page zCourse syllabus zAssignment calendar zLab Exercises zHomework coversheet zOther important information and files

4. 11/22/2015J. M. Sebeson ECET-430 Advanced Digital Signal Processing zA sequel to ECET-350. zCovers techniques used in many current applications of DSP. zAssumes concepts learned in ECET-350 (or EET- 350) and familiarity with MATLAB. zLab involves MATLAB computational exercises zSome homework assignments require MATLAB.

5. 11/22/2015J. M. Sebeson Text and other requirements zJ. Kronenburger and J. Sebeson, “Analog and Digital Signal Processing: An Integrated Computational Approach with MATLAB,” Thompson Delmar Learning (Cengage Learning), 2008. ISBN 1418041734 zScientific graphing calculator (TI-89 recommended) zMATLAB 7.0 or higher with Signal Processing Toolbox (available on Citrix)

6. 11/22/2015J. M. Sebeson Selected ECET-430 Topics Review of key DSP concepts Discrete Fourier analysis of sampled signals Phase distortion and linear phase filters Impulse response of ideal filters Linear-phase FIR filter design Windowed ideal response Sampling method Optimal Parks-McClellan method IIR filter design Digital oscillators Notch filters Analog prototypes by the bilinear transformation Multi-rate techniques Digital anti-aliasing Decimation and interpolation Noise power density and sampling Noise-shaping, delta-sigma quantization Correlation and auto-correlation of signals Adaptive filters Image processing Wavelets Case Studies

7. 11/22/2015J. M. Sebeson ECET-430 Lab zLab consists of 8 MATLAB computational exercises emulating the problems of a typical DSP engineer. zYou are expected to complete the lab exercises on your own initiative, just as a DSP engineer would. zLabs are not “cookbook.” You may need to study lecture notes, textbook MATLAB user guides, and MATLAB help documentation to complete them. zLate labs will not receive credit. zNo labs are dropped.

8. 11/22/2015J. M. Sebeson Grading Weights zHomework: 20% zQuizzes: 20% zMidterm Exam: 20% zFinal Exam: 20% zLab: 20%

9. 11/22/2015J. M. Sebeson Grading Scale zEach element (and the total grade) is based on a point system (rounded to the nearest point) where: y90 to 100 = A (e.g. 89.51=90.0=A) y80 to 89.5 = B (e.g. 89.49 =89.0=B) y70 to 79.5 = C y60 to 69.5 = D yBelow 60 = F

10. 11/22/2015J. M. Sebeson Why Learn DSP With MATLAB? zDigital Signal Processing is the dominant technology today, and into the future, for small-signal electronic systems (i.e., just about everything) zMATLAB has become one of the standard design environments for DSP engineering zTechnology students need to be literate and skilled in this environment: knowledgeable in both DSP and MATLAB

11. 11/22/2015J. M. Sebeson MATLAB in DSP Product Development Develop and Test Algorithms in MATLAB SIMULINK Simulation Code Composer DSP Processor Platform MATLAB + PC = DSP Processor!! (just less efficient)

12. 11/22/2015J. M. Sebeson My Background zEducation: yB. S. Physics, 1969, Michigan State University yM. S. Electrical Engineering, 1971, Northwestern University yM. S. Materials Science and Engineering, 1973, Northwestern University yPh.D. Candidacy (ABT) Materials Science, 1978, Northwestern University zProfessional Experience: (1969 to Present) y2000 – Present: Professor, ECET, DeVry University y1989 - 2000: Hardware Development Director, Switching and Access Solutions, Lucent Technologies y1985 - 1989: Head, Computer Engineering Information Department, AT&T Data Systems Group y1979 - 1985: Technical Manager, Data Switching Product Engineering Group, Bell Laboratories y1969 - 1979: Member of Technical Staff, Bell Laboratories

13. 11/22/2015J. M. Sebeson Areas of R&D z No. 5 Electronic Switching System tm z AT&T 3B tm Computers z No. 2 Signal Transfer Point z Common Channel Signaling (CCIS) z 1A Processor (No. 1A ESS tm and No. 4 ESS tm ) z Computer Aided Design z Signaling link encryption systems z Hybrid integrated circuit fabrication and testing z Magnetic bubble memory devices z Laser holographic mass memory systems z Reliability theory z Solid state surface physics z Molecular kinetics