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Signals and Systems with Scilab


An Introduction to Signals and Systems form the Scilab Approach

Study of engineering signals and systems from a open source software approach. It is a fundamental starting point in the field of engineering.

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Teaching Signals and Systems using Scilab and its’ modules makes the students interested to explore more, event into most hatred DSP subjets!


Course Synopsis


Signals and Systems is an introduction to analog and digital signal processing, a topic that forms an integral part of engineering systems in many diverse areas, including seismic data processing, communications, speech processing, image processing, defense electronics, consumer electronics, and consumer products.

The course presents and integrates the basic concepts for both continuous-time and discrete-time signals and systems. Signal and system representations are developed for both time and frequency domains. These representations are related through the Fourier transform and its generalizations, which are explored in detail.


Course Objectives

This is a one-day course focus on fundamental concepts and techniques for signal and systems. The aim is to present an overview of signal and systems and its importance in applications such as DSP, communications, control systems and image processing.


Who Must Attend

Engineers, researchers, scientists, and managers from the academic, manufacturing, government and other sectors who want to use or plan to use SCILAB in Signals and Systems.


Candidates must have experience with basic computer operation. Preferably attended our Numerical Computation with SCILAB course.


Course Outline

Fundamental Concepts

  • Polynomials
  • Vectors Revisited
  • Basic Operations and Properties of Signals
  • Continuous-Time Signals
  • Discrete-Time Signals
  • Classification and Properties of Systems

Time-Domain Analysis

  • Representation of Signals: Using Impulses
  • Properties of LTI systems
  • Response of LTI Systems: (Convolution Sum and Integral)
  • Causal LTI systems described by Difference and Differential Equations

Frequency-Domain Analysis

  • Representation of Signals: Fourier Series and Fourier Transforms
  • Introduction to Discrete-Time Fourier Transform &
  • Introduction to Discrete Fourier Transform
  • Response of LTI Systems: (Frequency-Response)
  • FFT Algorithm

Laplace & Z-Transform

  • Laplace Transform of a Signal
  • Properties of the Laplace Transform
  • Transfer Function Representation
  • Z Transforms
  • Aplications

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