DSP with MATLAB at IIT Madras (3 Jan)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.
Date: 3rd January, 2019
Venue: IIT Madras (View on Map)
Software required will be provided. No hardware kit in required.
- A working Laptop/PC with minimum of 2 GB RAM, 100 GB HDD, intel i3+ processor
- Digital toolkit of PPTs and study material for all participants
- Certificate of Participation for every participant.
- 10% discount in Summer and Winter Training for students participating in this workshop.
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For any details/query, Contact:
Business Development Manager
Mob : 9911330807