There are 3 repositories under signals-and-systems topic.
Digital Signal Processing - Theory and Computational Examples
Continuous- and Discrete-Time Signals and Systems - Theory and Computational Examples
📶 Python Scripts for the basics of Digital Signal Processing (DSP). Updating on a regular basis.
The project draws Continuous and Discrete periodic signal, and calculate some Equations (using MATLAB R2016b and App Design GUI)
My materials for a course I helped teach on signals and systems
Signals and Systems course programming exercises at AUT
Sistemas y Señales, Repositorio de Jupyter notebooks
Solutions to assignments given in Signals and Systems Laboratory
Fast convolution and deconvolution functions using Fast Fourier Transform (FFT)
Problemset in engineering signals and systems - Draft
Reading Car's Number Plate using Image Processing in MATLAB
StochasticA is a textbook / website for an “Introduction to Stochastic Signal Processing”. Materials for this website can be found here. Be sure to read the README.md document if you want to know more about the implementation.
Codes in the book Signals and Linear Systems, Lathi for Octave
A short project for ECE-Y425 (Signals and Systems), ECE University of Patras. Written explicitly in MATLAB.
《电子系统设计-基础和测量系统篇》理论计算用Mathematica代码
This project includes six parts. The goal is to applying different filters to an audio signal.
AUT Spring 2022 Signals and Systems
This repo is for the first project for Signals And Systems course (EEC 271)
Solutions of 6 labs from UC Berkeley EE120 Signals and Systems fall semester 2019
Communication system simulation written in MATLAB.
Discriminant analysis methods can be good candidates to address such problems. These methods are supervised, so they include label information. The goal is to find directions on which the data is best separable. One of the very wellknown discriminant analysis method is the Linear Discriminant Analysis. Linear Discriminant Analysis (LDA) is most commonly used as dimensionality reduction technique in the pre-processing step for pattern-classification and machine learning applications. The goal is to project a dataset onto a lower-dimensional space with good class-separability in order avoid overfitting (curse of dimensionality) and also reduce computational costs. Pertaining to our problem, we are given a [32 X 32] binary image as input and the goal is to apply LDA technique to transform the features into a lower dimensional space, which maximizes the ratio of the between-class variance to the within-class variance, thereby guaranteeing maximum class separability between two classes in our case with the minimal loss.
This is a signals and systems course project.
Train ticket vending machine application designed for execution on an FPGA system. The application allows users to purchase tickets for various destinations and includes maintenance functionalities.
Signal manipulation, transformation and implementation
In this project I implemented 2D convolution function using MATLAB and applied it on some images using different kernels.
License plate detection and sending data via signals.
Project for Amirkabir University in signals and systems course. Fourier transform of some famous functions implemented in MATLAB
Project for Amirkabir University in signals and systems course. Convolution of different impulse response signals as means of applying reverberation to the sound of another signal.
Documents of all the courses I took during my university life.