Python Heart Sound Data Compression
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Updated
Aug 23, 2018 - Python
Python Heart Sound Data Compression
Extends classical optimal quantization theory (Lloyd-Max, entropy-constrained VQ) to neural latent spaces with learned non-Gaussian distributions.
3-bit Lloyd-Max KV Cache Compression for LLM Inference on NVIDIA DGX Spark GB10 — 5.12x compression, 0.983 cosine similarity, pure numpy on ARM unified memory
University Project for core course Digital Communications
Fast compressed ANN search via randomized Hadamard transform and optimal Gaussian scalar quantization. Pure NumPy.
Lloyd-Max scalar quantization implementation with distortion, MSE, SQNR analysis, tests, and visualized experiments.
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