About the Course
I can teach the tuition according to the student requirement like university examination preparation or any entrance examination preparation (ex:GATE/any PUC).
Topics CoveredBasic elements of DSP – concepts of frequency in Analog and Digital Signals – sampling theorem – Discrete – time signals, systems – Analysis of discrete time LTI systems – Z transform – Convolution (linear and circular) – Correlation.
Introduction to DFT – Properties of DFT – Filtering methods based on DFT – FFT
Algorithms Decimation – in – time Algorithms, Decimation – in – frequency Algorithms – Use of FFT in Linear Filtering – DCT.
Structures of IIR – Analog filter design – Discrete time IIR filter from analog filter – IIR filter design by Impulse Invariance, Bilinear transformation, Approximation of derivatives – (HPF, BPF, BRF) filter design using frequency translation
Structures of FIR – Linear phase FIR filter – Filter design using windowing techniques, Frequency sampling techniques – Finite word length effects in digital Filters
Who should attendAny B.Tech/M.tech students or those who are working on their final/mini project work.
Pre-requisitesFourier analysis and basic mathematics like partial fractions, sum of arithmetic mean series, Geometric mean series, basic integrations and basic differentiations.
What you need to bringA note book is sufficient
Key TakeawaysThe students will be able to understand how to analyze a given signal or system using tools such as Fourier transform and z-transform; what kind of characteristics should be analyze to know the property of a signal or system; how to process signals to make them more useful; and how to design a signal processor (digital filter) for a given problem.