MATLAB-based Cubic Spline Interpolation Algorithm Implementation
Implementation of cubic spline interpolation algorithm using MATLAB with detailed programming approach and practical applications
Fuzzy Control Algorithm Program Based on BP Neural Network
A complete fuzzy control algorithm implementation using BP neural networks, fully executable in MATLAB environment with neural network training and control optimization capabilities
Legendre Polynomial Fitting Algorithm
This algorithm program computes the weight coefficients for N-th order Legendre polynomial fitting using least squares approximation for data modeling
Differential Evolution Algorithm Implementation with MATLAB
A MATLAB implementation of the Differential Evolution algorithm with comprehensive code explanations. The basic DE concept is straightforward, making it suitable for beginners to write their own version and compare results. The program demonstrates core operations including mutation, crossover, and selection processes with vectorized computations.
Adaptive Filtering Algorithms and Implementation Approaches
Adaptive filtering algorithms and implementation-related code examples for reference and learning purposes.
Wireless Cellular Network Positioning Algorithm Program Enhanced with Scaling Factor
This innovative self-developed program modifies the Chan algorithm by incorporating a scaling factor, demonstrating excellent convergence and improved resistance to Non-Line-of-Sight (NLOS) propagation effects.
Algorithm Implementation for Continuous Function Best Square Approximation
Course Project: Develop a function-based algorithm program for continuous function best square approximation with numerical experiments. Includes detailed technical report and source code implementation using orthogonal polynomials and least squares methods.
Dijkstra's Algorithm for Shortest Path Finding with Implementation Insights
A comprehensive program implementation of Dijkstra's shortest path algorithm. Dijkstra's algorithm is a classic graph traversal method that calculates the shortest paths from a single source node to all other nodes in a weighted graph. Its core characteristic involves expanding outward layer by layer from the starting point until reaching the destination. While Dijkstra's algorithm guarantees optimal solutions, its computational efficiency decreases with larger graphs due to extensive node processing. This algorithm serves as fundamental content in technical courses like Data Structures, Graph Theory, and Operations Research, with implementations typically involving priority queues and relaxation operations for edge weight updates.
Radix-4 FFT Implementation in MATLAB
MATLAB implementations of radix-4 FFT algorithms featuring three distinct approaches including fixed-point and floating-point arithmetic methods
MATLAB Implementation of Particle Filter Algorithms: PF, EKPF, UKPF with Resampling Methods
Comprehensive guide to particle filter algorithms including basic PF, Extended Kalman Particle Filter (EKPF), Unscented Kalman Particle Filter (UKPF), featuring various resampling techniques with MATLAB code implementations, learning documentation, and practical applications