Freaks City

Introduction A microgrid system incorporating wind power, photovoltaic (PV) generation, energy storage, and micro gas turbine is considered in this study. The optimization objective is to minimize the total operational cost, which includes grid power purchase costs, maintenance costs for PV panels and wind turbines, battery charging/discharg ...

Project Structure The implementation consists of several core components: main.m - Main script for orchestrating the conversion proces get_images.m - Core function handling signal processing and image generation axis_control.m - Utility for managing axis display settings Algorithms/ - Directory containing specialized transformation algorithms ...

Fundamentals of ISAR Imaging Inverse Synthetic Aperture Radar (ISAR) imaging transforms radar returns into high-resolution target images through signal procesisng techniques. The key processing stages are: Radar Echoes → Range Compression → Envelope Alignment → Phase Correction → Cross-Range Processing → ISAR Image Envelope Alignment Methods ...

Introduction Chaos-based image encryption algorithms have found widespread application across various industries. However, many existing encryption methods rely on low-dimensional chaotic systems, which compromises security and fails to meet modern cryptographic requirements. To address these limitations, this paper presents a novel image encry ...

The Simulink.SimulationData.Dataset class serves as a container for grouping simulation data, whether retrieving logged results or defining external inputs. Construction Syntax Instances can be initialized in three primary ways: obj = Simulink.SimulationData.Dataset: Generates an empty container. obj = Simulink.SimulationData.Dataset(sourceDat ...

%% Load ECG dataset and apply preprocessing load('ECGData.mat'); [sigData, sigLabels] = preprocessECG(ECGData); %% Extract time-frequency features using CWT sampleFreq = 128; waveletBank = cwtfilterbank('SignalLength', 1000, 'VoicesPerOctave', 12); waveletFeats = extractWaveletFeatures(sigData, waveletBank); %% Apply data augmentation and spl ...

The 0/1 Knapsack problem is a classic combinatorial optimization challenge. Given a set of items, each with a specific weight $w_i$ and value $v_i$, the goal is to determine wich items to include in a collection so that the total weight does not exceed a predefined limit $W$, while the total value is maximized. This is mathematically expressed ...

The plot command serves as the fundamental tool for rendering two-dimensional graphs within the MATLAB environment. When invoked with two vector arguments, such as plot(horizontal, vertical), the system maps the values of the second argument against the first. If matrix inputs are provided, the function iterates through columns or rows dependin ...

Edge detection is a fundamental task in image processing, aimed at identifying boundaries between regions of distinct intensity or color. These boundaries often correspond to object contours, texture transitions, or structural features. Traditional methods like Sobel or Canny operators rely on gradient computation, but they are sensitive to noi ...

PSOPT is an open-source toolbox designed for solving optimal control problems within the MATLAB environment, commonly used in aerospace trajectory optimization, robotic motion planning, and automated system design. This guide walks through the complete installation process on Ubuntu 22.04, ensuring seamless integration with MATLAB. Prerequisite ...