Faculty of Engineering

Model (No 12)

Course Specification : معالجة اشارات تناظرية ورقمية

2019 - 2020

 
Farabi Quality Management of Education and Learning - 21/11/2024
University :Mansoura University
Faculty :Faculty of Engineering
Department :
1- Course data :-
Code: ECE363
Course title: معالجة اشارات تناظرية ورقمية
Year/Level: 300
Program Title:
  • Bsc. in biomedical engineering
Specialization:
Teaching Hours: Theoretical: 2Tutorial: 2Practical:
2- Course aims :-
  1. Apply knowledge of continuous time and discrete time principles and transforms in the design and realization of analog and digital systems.
  2. Design analog and digital filters to meet the required needs within realistic constrains.
3- Course Learning Outcomes :-
4- Course contents :-
NoTopicsWeek
1Signal conversion1
2discrete time Fourier transform2
3fast Fourier transform (FFT)3
4random processes4
5 linear time invariant filters5
6analysis of filter response and stability6
7digital filter design: FIR, HR filters7
8digital filter implementations9
9effect of finite word length10-11
10Wiener filter- adaptive digital filters12
11data coding and compression13
12signal restoration applications14

5- Teaching and learning methods :-
SMethod
Lectures
Discussion Sessions
Research Assignment

6- Teaching and learning methods of disables :-
  1. More solved examples.

7- Student assessment :-
A. Timing
NoMethodWeek
1Mid Term Examination8
2Semester workBiweekly
3Final Term Examination15
B. Degree
NoMethodDegree
1Mid_term examination20%
2Final_term examination50%
3Oral examination 0
4Practical examination 0
5Semester work30%
6Other types of asessment0
Total100%

8- List of books and references
SItemType
1Richard G. Lyons, D. Lee Fugal, "The Essential Guide to Digital Signal Processing", 2014.
2Li Tan and Jean Jiang, "Digital Signal Processing, Second Edition: Fundamentals and Applications ", 2013
3Lawrence R. Rabiner and Bernard Gold, " Digital Signal Processing " ,1975.
4B. P. Lathi, Roger A. Green, "Essentials of Digital Signal Processing", 2014.

9- Matrix of knowledge and skills of the course
SContentStudy week
Signal conversion1
discrete time Fourier transform2
fast Fourier transform (FFT)3
random processes4
linear time invariant filters5
analysis of filter response and stability6
digital filter design: FIR, HR filters7
digital filter implementations9
effect of finite word length10-11
Wiener filter- adaptive digital filters12
data coding and compression13
signal restoration applications14

Course Coordinator(s): -
  1. محمد سمير محمد المنزلاوى
  2. Doaa Adel Abd Elsalam El Tantawy
Head of department: -
Hossam El Din Salah Moustafa Salah