Time Delay Estimation Using Phase Spectrum Method
Implementation of time delay estimation using phase spectrum method with detailed algorithmic analysis, including discussion of potential graphical discrepancies in visualization outputs
Explore MATLAB source code curated for "误差" with clean implementations, documentation, and examples.
Implementation of time delay estimation using phase spectrum method with detailed algorithmic analysis, including discussion of potential graphical discrepancies in visualization outputs
Simulation of VIRE algorithm for RFID indoor positioning, including test point localization scenarios and error analysis for each point
Monopulse Sum and Difference Beam Angle Measurement Program. This implementation uses an 8-element linear array to form simultaneous sum and difference beams for angle estimation. The algorithm demonstrates increasing error with larger measurement angles due to approximation methods and beam broadening during scanning. The code utilizes full-array beamforming techniques with phase-shift calculations for beam steering.
Implementation of speech LPC feature extraction using MATLAB, ready-to-use with direct speech input, featuring clear and effective analysis of feature coefficients and errors in simulation diagrams
TDOA-based localization system using Kalman filter algorithm to reduce errors and achieve more accurate target tracking and positioning. Implementation includes state prediction, measurement update, and error covariance management for enhanced precision.
Enhancing RBF Network Performance in Function Approximation by Applying Genetic Algorithms to Minimize Approximation Errors
This program implements an adaptive fuzzy PID controller using error (e) and error rate of change (e_dot) as inputs to dynamically adjust PID parameters. The system employs fuzzy logic rules to modify PID coefficients online, creating a self-tuning controller that maintains optimal performance under varying conditions through real-time parameter optimization.
Digital Signal Processing LMS (Least Mean Squares) algorithm processes the error between input signal and reference signal, displaying convergence characteristics with implementation insights
Implementation of JPEG2000 encoding and decoding for monochrome images! Computes compression ratios and error metrics while analyzing differences between source and reconstructed images through MATLAB-based processing.
Circle fitting algorithm that computes the minimum-error circle from multiple known data points using mathematical optimization techniques