Mohammad Nabizade 's repositories
Multinomial-nb-Spam-Identifier
Identifying and distinguishing spam SMS and Email using the multinomial Naïve Bayes model.
Motion-Blur-Spatial-Frequency-Domain
This repository provides Python code and tutorials for simulating motion blur in images and restoring them using spatial and frequency domain techniques. Explore motion blur effects, apply blur in both domains, and restore original images. Ideal for image processing and computer vision projects.
HTML_CSS_CV
A simple single-page resume template done purely with HTML and CSS
TicTacToe-Game
A simple tic-tac-toe game made with HTML, CSS & javascript
Arnold-cat-map
Explore the intricacies of Arnold's Cat Map 🐱🗺️ in this repository. Dive into its chaotic mathematical transformation through code execution and visual representation. Designed for scholarly inquiry, the project facilitates empirical experiments with guided code and interactive examples.
image-processing-fundamentals
In this repository, we are going to get acquainted with the fundamental and essential things in the field of image processing, we will learn how to implement basic algorithms and functions, and we will follow the necessary things in the field of image processing.
Matlab_DSP_Energy_ZCR_Autocorrelation
In this repository, we first read the file of a signal in Matlab and then calculate for that signal the energy value of the short time, the magnitude of the short time, and the Zero crossing rate on the short time. After seeing the output of the above values, we check the autocorrelation for vowels and non-vowels in our selected part of the file.
Matlab_DSP_MFCC
MATLAB code for audio signal processing, emphasizing Real Cepstrum and MFCC feature extraction. Reads a wave file, applies Hamming and Rectangular windows, then computes Real Cepstrum. Utilizes MATLAB's built-in functions for extracting MFCC features. Perfect for audio analysis and feature engineering.
Olivetti-faces-Logistic-Regression-PCA-SVM
Classification of images (face images in Olivetti faces data set) using Logistic Regression and dimension reduction with PCA.
Speech-recognition-HMM
This project focuses on building a speech recognition system for the Farsi (Persian) language using Hidden Markov Models (HMMs) and the HTK (Hidden Markov Model Toolkit) library. The goal is to recognize spoken digits (1, 2, 4, and 8) through the implemented HMM model.
Keras-Group-Normalization
Ab update for Keras implementation of https://arxiv.org/abs/1803.08494