Single-Phase Dual-Loop PWM Rectifier Implementation
MATLAB implementation of a single-phase dual-loop PWM rectifier with proper parameter configuration producing excellent waveforms, though the steady-state settling time requires optimization
SIMULINK Simulation of FSK Modulation with Complete Parameter Configuration
SIMULINK Simulation of FSK Modulation Technique with Detailed Parameter Settings and Implementation Analysis
Equalizer Parameter Configuration
Equalizer parameter settings involve configuring different parameters to generate corresponding equalization waveforms. This process includes frequency band adjustment, gain control, and Q-factor/bandwidth specification for precise audio signal processing.
Particle Filter and Unscented Particle Filter Algorithms
Implementation code for particle filter and unscented particle filter algorithms, including detailed Gaussian mixture model parameter configuration
DC Components of Photovoltaic Power Generation in Microgrid Systems
The DC portion of photovoltaic power generation in microgrid systems primarily includes PV panels, MPPT algorithms, PWM modules, and corresponding parameter configurations. The simulation validates the effectiveness of MPPT implementation.
UWB Simulation Using Simulink
UWB simulation package developed with Simulink, featuring uwb.mdl: Main UWB model - launch this file to start simulation; uwb_lib.mdl: Component library containing reusable UWB blocks; uwb_init.m: Pre-load initialization script; uwb_settings: Configuration file defining system parameters (creates uwb structure in workspace); uwb_imr.m: Channel impulse response initialization module
MATLAB Simulation of LTE Systems: Implementation Steps and Parameter Configuration
This article provides a comprehensive guide to MATLAB simulation of LTE systems, detailing the implementation workflow, parameter configuration methods, and key computational approaches with code-level explanations.
Image Smoothing Algorithm Implementation with MATLAB
A MATLAB-based image smoothing algorithm that delivers excellent results with configurable parameters for achieving varying smoothness levels, featuring flexible implementation suitable for diverse image data types.
Extreme Learning Machine: A Neural Network Simulation Approach
Extreme Learning Machine (ELM) is a neural network simulation technique that offers faster learning speeds compared to Backpropagation (BP) and Sequential Minimal Optimization (SVM), with simpler parameter configuration requirements.
Gaussian White Noise Generation Function
This MATLAB function generates Gaussian white noise through customizable parameter settings, enabling users to create specific white noise signals while providing insights into random signal generation methodologies.