• Trity Course Scilab IoT

    Scilab for the Internet of Things

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  • Trity Course RPi IoT

    Raspberry Pi for the Internet of Things (with Pi-3)

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  • Trity Course Scilab AI

    Artificial Intelligence with Scilab

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  • Trity Course Scilab NCV

    Numerical Computation and Visualization with Scilab

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  • Trity Course Scilab IP

    Scilab for Image Processing and Computer Vision

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  • Trity Course Scilab BDA

    Big Data Training Series : Practical Guide to Big Data Analytics with Pig Latin, Hive and Scilab

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  • Trity Course Scilab DM

    Scilab for Data Mining

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  • Python Deep Learning

    Python for Machine and Deep Learning

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Scilab Courses

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Scilab is an open source, cross-platform numerical computational package and a high-level, numerically oriented programming language. It can be used for signal and image processing, statistical analysis, Internet of Things, data mining, etc. In Trity Technologies we have developed more than 20 courses based on Scilab since last few years.

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Raspberry Pi Courses

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The Raspberry Pi is a series of credit card–sized single-board computers developed in the United Kingdom by the Raspberry Pi Foundation with the intent to promote the teaching of basic computer science in schools and developing countries. Our very first Raspberry Pi Training is the aplication in IoT, and we are extending the training into other fields from time to time. 

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E4Coder - Automatic Code Generation

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E4Coder is a set of tools that can be used to simulate control algorithms and to generate code for embedded microcontrollers running with or without a realtime operating system. Our course focus on using the block diagram for algorithms development and the codes would be automatically generated and downloaded into the embedded boards such as Arduino Uno. A mobile robot application would be used for the training for practical hands-on. 

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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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