Course Description
This is a two-day introduction course focusing on fundamental concepts and techniques for digital signal processing and their practical implementation. The material will be illustrated with numerous examples of practical significance.  

Pre-requisites:
Candidate must have experience with basic computer operations and preferably attended our “Learner’s Guide to MATLAB” & “Learner’s Guide to Simulink”

Course Outline:

Fundamental of Signal Processing

• Creating and importing signals
• Sampling and re-sampling
• Signal visualization (2D & 3D)
• Noise Modeling & filtering
• Modulation

Spectral Analysis of Signal

• Signal Statistics
• Discrete Fourier Transform
• Power Spectral Density Estimation
• Time Varying spectra

Acquiring and Processing of Audio Signal

• Interfacing to Win Sound Card
• Acquiring and recording the Audio Signal from Win Sound Card
• Online & off-line Signal processing on the acquired audio signal

Designing Filters

• Filter specifications
• Analog prototyping
• IIR Filter designs
• Introduction to the Filter Design and Analysis Tool (FDATool)
• FIR design methods
• Windowing
• Other type of filters

Creating a Signal Processing Model

• Signal Processing Blockset library
• Signal processing signal creation
• Signal visualization
• Timing
  - Sample rates
  - Solver options

Analyzing Signals

• Statistical signal processing
  - Basic
  - Correlation
  - Histograms
• Transforms
  - FFT

Spectral Analysis Library Blocks

• Power spectrum estimation
• Nonparametric estimation
• Windowing
• Parametric estimation
• Time-varying spectrum

Filtering & Implementation

• Discrete linear systems
• Filter design blocks
  - Digital Filter Design block
  - Filter Realization block
  - Digital Filter block
• Analog filters (Reference)
• Multirate filters (Reference)

Who Must Attend
Engineers, test and evaluation engineers, researchers, scientists, who want to learn the fundamental knowledge in signal processing, to design signal processing systems, or need to direct access to live or real-world data and incorporate into their designs.

Course Benefits
Upon the completion of the course, the participants should be able to gain knowledge on the fundamental techniques for analyzing, visualizing and processing signal, developing & deploying applications.