Discrete Time Systems and Signal Processing

About the Subject:

A Discrete-time signal is a time series consisting of a sequence of quantities. In other words, it is a time series that is a function over a domain of integers. A Signal is defined as any physical quantity that changes with time, distance, speed, position, pressure, temperature or some other quantity.  The Signal is physical quantity that consists of many sinusoidal of different amplitudes and frequencies. A System is a physical device that performs an operations or processing on a signal. Ex Filter or Amplifier. 

Topics to be covered in this Seminar:

Classification of systems-energy and power-mathematical representation of signals-spectral density-Z-transform and its properties, inverse z-transforms-Solution by ztransform, application to discrete systems - Stability analysis, frequency response – Convolution – Discrete Time Fourier transform , magnitude and phase representation-Discrete Fourier Transform- properties, magnitude and phase representation - Computation of DFT using FFT algorithm – DIT &DIF  using radix 2 FFT – Butterfly structure-FIR & IIR filter realization –FIR design-Windowing Techniques – Need and choice of windows – Analog filter design – Butterworth and Chebyshev approximations- Digital Signal Processors– Features – Addressing Formats – Functional modes.

Time to be planned :

     1 or 2 days

Kind of program :

       3D based Seminar and Guest Lecture for the Students

Reason for the program :

      Kalam Scientist Team aiming to build young generation Scientist

Sample Clips for reference : 

Application Of DSP

Cheers,
Kalam Scientist Team
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