To design an antenna and analyze its radiation pattern using MATLAB, follow these steps with the provided code example: Step 1: Design the Antenna Design…
Simulating autonomous vehicle systems in MATLAB involves modeling vehicle dynamics, sensors, control algorithms, and environments. MATLAB’s Automated Driving Toolbox, Simulink, and Reinforcement Learning Toolbox are commonly used. Below is…
To implement machine learning for load forecasting in smart grids using MATLAB, follow this structured approach with code examples and explanations: 1. Data Preparation 1.1 Load Historical…
To implement deep learning for image-based defect detection in electrical components (e.g., transformers, circuit boards, insulators) using MATLAB, follow this structured workflow with code examples: 1. Data…
Controlling mobile robots (e.g., differential drive, omnidirectional, or Ackermann-steering robots) using PID and state-space techniques in MATLAB involves modeling the robot dynamics, designing controllers, and simulating the closed-loop system.…
Implementing neural network (NN)-based fault detection in power systems involves leveraging machine learning to identify anomalies (e.g., short circuits, line faults, equipment failures) from sensor data like…
To design and evaluate an Orthogonal Frequency Division Multiplexing (OFDM) system in MATLAB, follow these steps: 1. OFDM System Design Key Parameters matlab Copy N…
Here’s a step-by-step guide to simulate and compare the performance of BPSK, QPSK, and QAM modulation schemes in MATLAB, including BER (Bit Error Rate) analysis: 1. Key Parameters Setup…
Here’s a step-by-step guide to designing and simulating active filters (low-pass, high-pass, band-pass) in MATLAB, including frequency response analysis and time-domain signal filtering: 1. Active Filter Design…
To simulate a MIMO spatial multiplexing system using MATLAB, follow these steps. This example uses a 2×2 MIMO system with QPSK modulation and Zero Forcing…