MTA551E (CRN 13519)

DATA ACQUSITION AND SIGNAL PROCESSING

2021-2022 Autumn Term

 

OUTLINE OF THE COURSE

 

Lecturer

Prof. Dr. Kenan Y. Şanlıtürk, Mechanical Eng. Department, Office: 432

Tel: 0212 2931300, Extension 2781, sanliturk@itu.edu.tr

 

Assistant: Sevim Aycan Yetim, Office: 438, e-mail: yetim17@itu.edu.tr

 

Lectures

Wednesday 9:30-12:30

 

The course will consist of three components.  The lecture component will focus on theoretical aspects of Data Acquisition and Signal Processing. The second component will include on-line demonstrations, usually using a computer in the classroom.  The third component will take place in the laboratory where practical aspects of data acquisition will be demonstrated.  Student will also be able to make measurements and acquire experimental data for further processing.

 

Prerequisites Courses

None

 

Content

Introduction to data acquisition and signal processing. Types of signals. Components in the measurement chain. Sampling theorem.  Resolution and accuracy. Time Domain Processing: Statistical analysis, correlation, convolution and digital filtering.  Frequency Domain Processing: Fourier series, frequency resolution and windowing, Discrete Fourier analysis, aliasing, auto spectrum, cross spectrum, Frequency Response (Transfer) Function, Coherence, Envelope and Cepstrum Analyses, Digital filtering and design of filters.

 

Textbooks

 

- Stearns, S. D,  Digital signal processing with examples in MATLAB, CRC

                       Press, 2003

-  Blackburn, James A, Modern instrumentation for scientists and engineers, New York : Springer, 2001

- Simon Braun, Discover Signal Processing: An Interactive Guide for Engineers,

John Wiley & Sons Ltd., 2008.

-  Stearns S. D. and David, R. A., Signal Processing Algorithms in

         Matlab, Prentice-Hall Inc, 1996

- Lynn, P. A. Introductory Digital Signal processing With Computer

        Applications. John Wiley & Sons, 1994.

-  Ifeachor E.C. and Jervis B.W.  Digital Signal Processing: A Practical

    Approach, Addison-Wesley, 1997

 

Other Resources

- Newland, D. E. , An introduction to random vibrations and spectral

       analysis, 2nd edition, Longman, 1984.

- Ewins, D. J., Modal Testing : Theory, Practice and Applications,

    Second Edition, Research Studies Press Ltd, 2000.

 
Objectives of the Course are

-        to introduce various types of hardware used in a typical measurement chain, the main focus being vibration and acoustic measurements,

-        to provide practical knowledge and experience on  sampling theory, resolution and accuracy.

-        to provide practical knowledge on data acquisition and setting up a measurement system using modern tools.

-        to teach main signal processing techniques both in time and frequency domains.

 
 
Outcome of the Course

Students will

i)        gain fundamental knowledge about the elements of measurement chain,

ii)      gain ability to design experimental test rig and to select the ‘right’ hardware for the purpose,

iii)     gain practical knowledge about modern signal processing techniques and the ability to use them.

iv)     gain ability to interpret the measured or processed data and to report the results.

 

COURSE PLAN

 

Week

Topic

1

Introduction to data acquisition and signal processing

2

Components in the measurement chain, Part I

3

Components in the measurement chain, Part II

4

Sampling theorem, resolution and accuracy

5

Transducers

6

Types of signals, Time Domain Signal processing

7

Statistical analysis, Correlation and convolution

8

       Mid-semester break

9

Frequency domain signal processing.  Fourier series.

10

Discrete Fourier Transform, Spectrum analysis.

11

Leakage and Windowing.                                   (Midterm Exam)               

12

Frequency response function estimation, coherence.       

13

DSP systems, z-transform, Digital filtering

14

Design of filters, Advanced DSP Techniques

15

Project presentations
 
Assessment Criteria

 

The assessment will be based on 1 Midterm Exam’, 2 or 3 Homework, 1 Project and a Final Exam.  The total mark will be calculated as

 

Midterm Exam              : 25%

Homework                     : 15%

Project                            : 20 %     (10% presentation, 10% project report)

Final Exam                     : 40%

 

Total                               : 100%

 

Other Policies

 

Requirements to take the Final Exam

 

·       Take midterm exam.

 

Make-up Exams

Make-up exams will be given only when a student provides a valid documentation of illness for a period including the day of the exam.

 

Late Policy:

You are expected to submit your homework on time. There will be a penalty for late homework submissions.  (The penalty is 20% reduction of the mark per day).  However, project report must be submitted on time.

 

 

 

 

Signal processing tools (sp.zip)