Implementation of FFT Based on IP Core in DSP Builder with Parameter Configuration Focus
Implementation of FFT Based on IP Core in DSP Builder – Emphasizing Parameter Configuration (Highly Effective)
Particle Swarm Optimization (PSO) Algorithm Parameter Configuration
The PSO algorithm parameter settings constitute the core component of the optimization toolbox integration, governing swarm intelligence behavior and convergence patterns.
MATLAB FIR Filter Design Program with Code Implementation
A MATLAB-based FIR filter design program featuring an intuitive graphical interface with comprehensive parameter configuration capabilities. The implementation includes various filter design algorithms like windowing method, frequency sampling, and equiripple design using functions such as fir1, fir2, and firls.
Based on RS Encoding and Decoding Principles
This section establishes a SIMULINK simulation model grounded in RS coding and decoding principles, enabling analysis of how various parameter configurations impact RS code performance through customizable parameter settings.
Artificial Immune Algorithm Source Code with Implementation
This artificial immune algorithm source code implements a complete optimization process including: 1. Parameter initialization 2. Random population generation using pop=initpop(popsize, chromlength) 3. Fault type encoding with code(1,:) for normal, code(2,:) for 50%, code(3,:) for 150%, and Unnoralcode for measured 188% fault data 4. M-iteration loop featuring: objective function calculation using Euclidean distance [objvalue]=calobjvalue(pop,i), fitness evaluation fitvalue=calfitvalue(objvalue), selection operation newpop=selection(pop,fitvalue), crossover newpop=crossover(newpop,pc,k), and mutation newpop=mutation(newpop,pm)
Simulink Simulation of BPSK Modulation
Comprehensive Simulink simulation of BPSK modulation with complete parameter configurations, spectral analysis diagrams, and constellation plots
Vector Control of PMSM Based on PI Regulator
Building a simulation model for interior permanent magnet synchronous motor (PMSM) vector control system, including system simulation model construction and parameter configuration modules
MATLAB Simulation for Mixer Modeling with GUI Interface
MATLAB simulation program for mixer modeling featuring a GUI interface for parameter configuration, incorporating signal processing algorithms and interactive component customization.
Comprehensive Network Models
This system features exceptional user-friendliness, allowing effective utilization even without deep expertise in various network models. Users can interactively modify network parameters (e.g., layer configuration, neuron counts per layer) with intuitive visualizations and parameter settings that demonstrate implementation processes and detailed steps for each application scenario.
MATLAB Implementation of Time-Domain One-Dimensional Finite-Difference Method
Parameter configuration utilizes symbolic representations for specific physical meanings, which may initially appear complex. For optimal comprehension, study alongside "Fundamentals of Applied Electromagnetics" by Atef Elsherbeni (translated by Yu Zhiyuan), focusing on FDTD algorithm implementation with MATLAB code structure explanations.