Digital signal processing

About the Subject:

Digital signal processing (DSP) is the numerical manipulation of signals, usually with the intention to measure, filter, produce or compress continuous analog signals. It is characterized by the use of digital signals to represent these signals as discrete time, discrete frequency, or other discrete domain signals in the form of a sequence of numbers or symbols to permit the digital processing of these signals.

                                                     

Topics to be covered in this Seminar:

DSP – Discrete –  Z transform – Convolution – Correlation- DFT - FFT Algorithms – DCT - IIR – FIR – Linear phase FIR - Frequency sampling techniques - Binary fixed point and floating point number representations – Comparison – Quantization noise – quantization noise power- input quantization error- coefficient quantization error – limit cycle oscillations-dead band- Overflow error-signal scaling.

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 : 

Frequency Sampling 

Cycle Oscillation

Cheers,

Kalam Scientist Team

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