Linde, Buzo, and Gray (LBG) Proposed a Training Sequence-Based VQ Design Algorithm

Linde, Buzo, and Gray (LBG) introduced a vector quantization design algorithm using a training sequence, eliminating the need for complex multi-dimensional integration. The LBG algorithm operates iteratively, processing extensive vector sets—typically through clustering techniques like k-means—in each cycle to optimize codebook generation.

LBG Vector Quantization Algorithm Implementation with Source Code

Comprehensive implementation of LBG vector quantization algorithm featuring complete source code, algorithm explanation, and practical applications in data compression and signal processing