|Digital Signal Processing Lab||L||T||P||C|
|Version1.1||Date of Approval:||0||0||2||1|
|Pre-requisites//Exposure||Signals and Systems|
- Understand the DSP concepts and to relate to real applications.
- Time domain and frequency domain implementation.
On completion of this course, the students will be able to
- Apply digital signal processing fundamentals.
- To construct new experiment independently or as a team member.
Digital signal processing (DSP) is concerned with the representation of signals in digital form, and with the processing of these signals and the information that they carry.
- Oppenheim A.V., Schafer, Ronald W. & Buck, John R.,”Discrete Time Signal processing”, Pearson Education ,2nd Edition.
- De Fatta, D.J.Lucas, J.G. & Hodgkiss, W. S.,” Digital Signal Processing”, John Wiley& Sons.
- Proakis, J.G. & Manolakis, D.G.,” Digital Signal Processing: Principles Algorithms and Applications”, Prentice Hall of India.
- Rabiner, L.R. and Gold B., “Theory and applications of DSP”, Prentice Hall of India.
Mode of Evaluation: The theory and lab performance of students are evaluated separately.
List of Experiments:
Relationship between the Course Outcomes (COs) and Program Outcomes (POs)
|Mapping between Cos and Pos|
|Sl. No.||Course Outcomes (COs)||Mapped Programme Outcomes|
|1||apply digital signal processing fundamentals.
|2||acquire the knowledge of representation of discrete-time signals in the frequency domain, using z transform and discrete Fourier transform.
|3||To construct new experiment independently or as a team member.||9|
|Engineering Knowledge||Problem analysis||Design/development of solutions||Conduct investigations of complex problems||Modern tool usage||The engineer and society||Environment and sustainability||Ethics||Individual or team work||Communication||Project management and finance||Life-long Learning|
|TEC242||Digital Signal Processing Lab||1||2||2|
1=addressed to small extent
2= addressed significantly
3=major part of course