Freaks City

BPSK Modulation in Image TransferBinary Phase Shift Keying (BPSK) encodes digital data by altering the carrier wave's phase. Binary 0 and 1 are represented by distinct phase shifts, typically 0 and 180 degrees.Color Image Transmission PipelinePreprocessing: Decouple the input color image into its Red, Green, and Blue (RGB) components. Normalize ...

Classification Tree with the Iris Dataset Load and prepare the Fisher iris data, then split into training and test partitions after standardizing the feature matrix. load fisheriris; features = meas; % 4 predictors speciesLabel = species; % response % Standardize [featStd, muVals, sigVals] = zscore(features); % Hold-out partitio ...

Fiber Bragg Gratings: Coupled Mode Theory and Transfer Matrix Method The spectral response of a Fiber Bragg Grating (FBG) relies on the coupling between forward and backward propagating core modes, governed by the Bragg condition (λ_B = 2 * n_eff * Λ). In MATLAB, the Transfer Matrix Method (TMM) is the standard approach for calculating reflecti ...

Understanding Spectrograms in MATLAB A spectrograph visualizes how the frequency spectrum of a signal changes over time. MATLAB's spcetrogram function implements the Short-Time Fourier Transform (STFT) to create these time-frequency representations. Basic Implementation Let's begin with a practical example using a chirp signal: % Define samplin ...

Lambert's problem is a fundamental challenge in orbital mechanics that involves determining the transfer orbit between two position vectors given a specific travel time. This problem is essential for mission planning, intercept maneuvers, and interplanetary trajectory design. The most common numerical approach utilizes universal variables and S ...

Introduction to Discrete Dynamical Systems Simulation This study focuses on computing numerical solutions for logistic differential equations to examine the stability of equilibrium points. Using computational tools, we investigate how varying growth parameters influence system behavior, ranging from stable fixed points to chaotic oscillations. ...

In response to the growing need for efficient public-space disinfection, this work presents a multi-robot system designed to maximize area coverage while minimizing redundancy. The approach leverages cooperative path planning among autonomous agents to ensure thorough sanitization of complex indoor environments. The environment is modeled as a ...

This article describes a practical approach to detect local maxima (and by extension, minima) in multidimensional arays using MATLAB's Image Processing Toolbox. The method leverages morphological dilation to identify peak locations while allowing control over minimum separation between detected extrema and handling of plateaus. Core Concept The ...

Algorithm Fundamentals and VRP Problem Modeling 1.1 VRP Problem Definition The Vehicle Routing Problem (VRP) can be described as follows: m vehicles depart from a distribution center to serve n customer locations, where each customer has a specific demand quantity and each vehicle has a capacity constraint. The objective is to find the route ...

1. Algorithm Overview Linear regression aims to minimize the mean squared error (MSE) between predictions and actual values. Gradient descent iteratively updates model parameters to reduce the cost function. Paramter update rule: θ := θ - α * (1/m) * Xᵀ (Xθ - y) 2. Complete MATLAB Implementation 2.1 Data Preparation %% Generate synthetic data ...