I can teach the tuition according to the student requirement like university examination preparation or any entrance examination preparation (ex:GATE/any PUC).

Topics Covered

Basic 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 attend

Any B.Tech/M.tech students or those who are working on their final/mini project work.

Pre-requisites

Fourier analysis and basic mathematics like partial fractions, sum of arithmetic mean series, Geometric mean series, basic integrations and basic differentiations.

What you need to bring

A note book is sufficient

Key Takeaways

The 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.