Seismic Deconvolution Program for Exploration Data Processing
MATLAB deconvolution program designed for seismic exploration data processing to enhance resolution through signal restoration algorithms.
Explore MATLAB source code curated for "分辨率" with clean implementations, documentation, and examples.
MATLAB deconvolution program designed for seismic exploration data processing to enhance resolution through signal restoration algorithms.
Implementation of MUSIC algorithm for Direction of Arrival (DOA) estimation using an 8-element linear array. The MUSIC method demonstrates high resolution capability, particularly at 36 degrees using predefined weights. Users can experiment with different antenna weight values to optimize performance. The implementation includes covariance matrix calculation, eigenvalue decomposition, and pseudospectrum computation.
MATLAB implementation of wavelet packet transform power spectrum analysis, offering higher resolution than conventional wavelet transforms, with detailed code structure and algorithm explanation.
AR model-based parameter estimation in modern power spectrum analysis provides superior resolution compared to classical spectral estimation methods, offering enhanced frequency component detection through autoregressive coefficient optimization.
Comprehensive investigation of the Root-MUSIC algorithm demonstrates that integrating beamspace domain processing significantly improves estimation resolution and robustness, with practical MATLAB implementation considerations.
3D cone-beam CT image reconstruction algorithm utilizing Katsevich's analytical approach, including volumetric data processing at two distinct resolution levels with implementation details for filtered backprojection operations.
Development of inverse perspective transformation for machine vision applications, enabling precise ROI determination and resolution mapping from image coordinates to real-world road dimensions using advanced geometric calibration techniques
Image Sampling • Program Implementation: Perform 2x scale downsampling on images and observe changes at different resolutions (a) • Program Implementation: Apply upsampling to downsampled images from (a) using various smoothing methods such as nearest-neighbor pixel replication or linear interpolation. Analyze quality changes in upsampled images and identify corresponding improvement methods.
Redundancy reduction in the fourth-order cumulant-based MUSIC algorithm removes superfluous redundant data, reducing computational complexity while maintaining excellent resolution performance through optimized matrix operations and eigenvalue decomposition techniques.
SAR Radar Imaging Simulation using MATLAB-based implementations of three distinct algorithms for analyzing spectral characteristics and resolution performance