Fundamentals of Signal Processing FER labs
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Updated
Jan 27, 2022 - Jupyter Notebook
Fundamentals of Signal Processing FER labs
Provides a simple guide on how to use dynamic optimization to optimize the state and input trajectory of linearly constrained LTI systems. This repo is meant to be used as a way of learning the concepts, and should not be used in a real control setting.
This repository is a comprehensive archive of assignments undertaken for the Digital Signal Processing course (TIP7200) at the Federal University of Ceará as part of my Master's curriculum.
Solution for Several Problems of Digital Signal Processing in Scilab (2013)
Signal Processing - DSP - LTI Systems - Fourier, Laplace and Z-Transform - Filters | Signals and Systems at ECE NTUA
Ph.D. research on transdermal alcohol content
Collection of my results from the wireless communication course.
Aplicação de conceitos da disciplina de Controle de Processos.
Demonstration of the mini-lab component activities conducted for the course of Signal Processing Lab (19CCE281).
DSP code in Python
General state-space representation of linear, time-invariant systems in Golang
C++ version of qlibs, a collection of useful libraries for embedded systems : signal smoothing, PID control, Fuzzy Logic, fixed-point math and more...
lti-1.3-canvas-lms
C-code generation and an interface between ControlSystems.jl and SymPy.jl
A collection of useful libraries for embedded systems : signal smoothing, PID control, Fuzzy Logic, fixed-point math and more...
System Identification toolbox, compatible with ControlSystems.jl
A Control Systems Toolbox for Julia
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