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Digital Signal Processing Using MATLAB

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.

Theoretical analyses and derivations are typically performed on discrete-time signal models, created by the abstract process of sampling. Numerical methods require a digital signal, such as those produced by an analog-to-digital converter (ADC). The processed result might be a frequency spectrum or a set of statistics. But often it is another digital signal that is converted back to analog form by a digital-to-analog converter (DAC). Even if that whole sequence is more complex than analog processing and has a discrete value range, the application of computational power to signal processing allows for many advantages over analog processing in many applications, such as error detection and correction in transmission as well as data compression.

Topics to be Covered:

Introduction to MATLAB
Historical background
Scope of MATLAB
Importance to engineers
MATLAB windows (editor, work space, command history, • Command window)
Operations with variables
Naming and checking existence

Data and data flow in MATLAB
Matrix operations & operators
Reshaping matrices

MATLAB Graphics
Simple graphics
Graphic types
Plotting functions

Signal processing using MATLAB 

Introduction to Signal Processing

Types of signals
Concept of frequency
Creating signals in MATLAB
Signal visualization

Frequency analysis
Harmonics analysis
Energy and power of a signal
Frequency analysis of external sound

Real time sound processing
Importing and exporting of signal (voice, music file etc.)
Audio player designing
Audio cutter designing

Designing and implementation of filters
Introduction to various types of filters
Digital FIR and IIR filter design, analysis and implementation methods
Analog filter design methods, including Butterworth, Chebyshev, Bessel and Elliptic
Filter designing using tool
Filter applications on various signals
Producing sound effects

Hardware Kit: This workshop does not include any hardware kit.

- A working Laptop/PC with minimum of 2 GB RAM, 100 GB HDD, intel i3+ processor
- A Seminar Hall with sitting capacity of all participants along with charging plugs, proper ventilation
- Projector, Collar Mike and Speakers

- Digital toolkit of PPTs and study material for all participants
- Certificate of Participation for every participant.
- A competition will be organized at the end of the workshop and winners will be awarded by Certificate of Excellence.

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