Audio Signal Framing, Windowing, and Wavelet-Based Watermarking Implementation
The process involves framing and windowing of audio signals, performing 3rd-order wavelet transform on each frame, extracting approximation coefficient averages (typically zero), embedding binary images as watermarks, and implementing blind detection for watermark recovery with code-level implementation insights.