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https://github.com/kons-5/ist-selec-labs

This repository contains lab materials for the IST-SElec course.
https://github.com/kons-5/ist-selec-labs

amplifier analog-filter drawio electronic-systems embedded-systems feedback ltspice matlab micropython oscillator oscilloscope proximity-sensor python3 signal-processing

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This repository contains lab materials for the IST-SElec course.

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README 

        
# IST-SElec-Labs



This repository contains lab materials for the IST-SElec (Electronic Systems) course.



# Content



## [Lab 1: Amplifiers with Feedback](selec_lab1_gr_64.pdf)



This project focuses on studying the consequences of negative feedback in amplifiers, exploring configurations with and without feedback to illuminate the impacts on system behavior.



#### Learning Objectives

- Understand the role of feedback in electronic systems and its implications on system performance.

- Analyze amplifier configurations to observe the effects of feedback mechanisms.

- Use LTspice® for simulation and MATLAB® for data analysis.



#### Technologies

- LTspice® for circuit simulation.

- MATLAB® for data processing and simulation analysis.



#### Topics Covered

- Dessensitization of gain due to feedback.

- Reduction of non-linear distortion and noise.

- Control over input and output resistances.

- Bandwidth enhancement of amplifiers.



## [Lab 2: Proximity Detector Project](selec_lab2_gr_64.pdf)



Analyze a proximity detection system based on the principles similar to the Park-Aid circuit, which aids in vehicle parking by detecting nearby obstacles using sensors.



#### Learning Objectives

- Dissect and study the individual components of the proximity detection circuit, including IR emitter and receiver, band-pass filter, rectifier with filtering, and proximity indicator.

- Evaluate the circuit's performance and functionality as a whole.



#### Technologies

- LTspice® for circuit simulation.

- MATLAB® for data processing and simulation analysis.



#### Topics Covered

- Oscillators and their applications in generating periodic signals.

- Analog filters, including active and passive filters for signal processing.

  

## [Lab 3: Embedded Systems Project: μOscilloscope](selec_lab3_gr_64.pdf)



The μOscilloscope project aims to design a small oscilloscope as an embedded system for IoT solutions development. The project encompasses understanding the hardware circuit, implementing oscilloscope software, debugging, optimizing, and calibrating the system.



#### Learning Objectives

- Master the underlying hardware circuitry for the project.

- Develop and implement the μOscilloscope software.

- Perform debugging and software optimization.

- Carry out calibration of the μOscilloscope.



#### Technologies

- Software implementation compatible with Python 3 and MicroPython®, optimized for microcontrollers.

- MATLAB® for data processing and simulation analysis.



#### Topics Covered

- Implementation and calibration of oscilloscope software.

- Signal processing algorithms and concepts.



## Diagrams and Design Tools



All diagrams in this repository were created using [draw.io](https://www.diagrams.net/), with the use of the ECE library provided by [NicklasVraa/Draw-io-ECE](https://github.com/NicklasVraa/Draw-io-ECE). This tool and library facilitated the detailed depiction of electronic components and systems while offering a user-friendly and time-efficient design experience.



## License



This work is licensed under a [Creative Commons Attribution Non Commercial Share Alike 4.0 International][cc-by-nc-sa].



[cc-by-nc-sa]: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode



## Authors



- [João Gonçalves - sqrt(-1)](https://github.com/eusouojoao)

- [Teresa Nogueira - 13A!](https://github.com/FrolickingAsteroid)



## Contributing



If you have suggestions or find any issues, please open an issue or submit a pull request.