COURSE OBJECTIVES:

Familiarization of the students to DSP hardware and to implement signal processing algorithms in MATLAB,

SYLLABUS

Part-A

Experiments to learn the concepts introduced in the courses Linear Algebra, Probability & Random Process and Multi rate signal processing using a numerical computing environment such as MATLAB or GNU Octave or any other equivalent tool.

Part-B

Familiarization of TMS320C6X based DSP kit and code composer studio IDE.

Programming to learn assembly coding and C coding.

Design and Realization of FIR, IIR Filters.

Experiments to do real time filtering.

COURSE OUTCOME:

Students will have the skills for practical implementation of algorithms in MATLAB as well as Digital signal processors.

PRE – REQUISITES:Basic knowledge in Digital Signal Processing,COURSE OBJECTIVES: To introduce the students to latest research topics in the area of Signal Processing. To familiarize the students in reading & comprehending technical papers and implementing the algorithms/methods described in them. To develop the presentation skills of student.SYLLABUSEach student shall present a seminar on any topic of interest related to Signal Processing . He / she shall select the topic based on the references from recent international journals of repute, preferably IEEE/ACM journals. They should get the paper approved by the Programme Co-ordinator / Faculty member in charge of the seminar and shall present it in the class. Every student shall participate in the seminar. The students should undertake a detailed study on the topic and submit a report at the end of the semester. Marks will be awarded based on the topic, presentation, participation in the seminar and the report submitted.COURSE OUTCOME: Student will develop the ability to comprehend technical papers in their selected areas. Students will learn to make technical presentations, prepare technical papers and reports.