Frequency Domain and Subband Adaptive Filters
Frequency domain and subband adaptive filters implement filter parameter optimization in the frequency domain with efficient algorithm implementations
Multi-Level Wavelet Decomposition for Image Analysis
This program implements multi-level wavelet decomposition of images, extracting wavelet coefficients from each sub-band after decomposition using algorithms like Discrete Wavelet Transform (DWT) with functions such as wavedec2() for 2D signals.
Block and Subband Adaptive Filter MATLAB Source Files with Implementation Code
MATLAB source files for block and subband adaptive filters featuring comprehensive code documentation, algorithm explanations, and visualized output results with performance graphs
Modify Histogram Based on Embedded Watermark Values
Modify histogram based on embedded watermark values, performing wavelet transform on images to extract histogram of specific subbands with implementation approaches for frequency-domain analysis
Endpoint Detection Using Sub-band Spectral Entropy
Endpoint detection implemented by dividing spectral entropy into multiple sub-bands, demonstrating effective detection performance with practical code implementation considerations