This is an exercise for my Cryptography course in university. We were asked to use LFSR to generate a pseudorandom binary sequence and check if it satisfies Golomb's postulates for randomness. I used ...

This project is a Python web application that allows importing data from a CSV file into a SQLite database and then performing a correlation analysis between two columns. The application is written in ...

Abstract: Simulation of stationary random processes (time series) is an essential engineering tool for system prototyping, design, and optimization. To create a simulation, a randomly generated time ...

Time series data analysis is crucial for making accurate predictions based on past trends. Stock market volatility necessitates precise data for informed investment decisions. Understanding ...

Time series data is collected sequentially, allowing for the analysis of relationships over time. Correlation quantifies the relationship between two variables, indicating how one affects the other.