Signals and Systems ( हिंदी में)

This course will introduce the students to basics of signal processing and systems analysis. We will focus on continuous-time signals and systems, but also give an introduction to discrete-time signals and systems towards the end of the course. This is a very important course for all engineers working in the electronics and communications domain.

INTENDED AUDIENCE : 2nd year undergraduate student PREREQUISITES : Mathematics at 10+2 level INDUSTRY SUPPORT : All companies dealing with signal processing

NOTE:In this course, the explanationwill be in Hindi, but the scientific terms, assignments and exams will be in English.  

COURSE LAYOUT Week 1 : Mathematical Preliminaries Week 2 : Types of Signals and Transformations Week 3 : Fourier Transform of Continuous-Time Signals Week 4 : Properties of Fourier Transforms Week 5 : LTI Systems Week 6 :Convolution and LTI System Properties Week 7 : Laplace Transform Week 8 : Laplace Transform Properties Week 9 : Fourier Series of Continuous-Time Periodic Signals and Properties Week 10 : Discrete-Time LTI Systems and Sampling Week 11 : Discrete-Time Fourier Transform (DTFT) Week 12 : Z-Transform