vectorquantization

,2021年5月14日—VectorQuantization在為訊號處理中的一種量化法，利用原始資料(樣本)來估算機率密度函數(ProbabilityDensityFunction,PDF),並藉由此函數推估最 ...,Itworksbyencodingvaluesfromamultidimensionalvectorspaceintoafinitesetofvaluesfromadiscretesubspaceoflowerdimension.Alower-spacevector ...,向量量化（英語：Vectorquantization）是一個在訊號處理中的一個量化法，其為藉由樣本向量(prototypevector)的訓...

參考資訊如下
Vector Quantization - an overview

DL、ML筆記(13):Vector Quantization向量量化(VQ)

2021年5月14日 — Vector Quantization在為訊號處理中的一種量化法，利用原始資料(樣本)來估算機率密度函數(Probability Density Function, PDF), 並藉由此函數推估最 ...

Vector quantization

It works by encoding values from a multidimensional vector space into a finite set of values from a discrete subspace of lower dimension. A lower-space vector ...

向量量化

向量量化（英語：Vector quantization）是一個在訊號處理中的一個量化法，其為藉由樣本向量(prototype vector)的訓練來估算密度機率函數，並藉由此密度函數推估最有效的 ...

5.4. Vector quantization (VQ)

A heuristic approach is to use successive codebooks, where at each iteration, we quantize the error of the last iteration. That is, let's say that on the first ...

Vector quantization

由 R Gray 著作 · 1984 · 被引用 4681 次 — A vector quantizer is a system for mapping a sequence of continuous or discrete vectors into a digital sequence suitable for communication over or storage ...

lucidrainsvector-quantize-pytorch

A vector quantization library originally transcribed from Deepmind's tensorflow implementation, made conveniently into a package. It uses exponential moving ...

Revisiting Vector Quantization with Convex Optimization

由 T Gautam 著作 · 2023 — Abstract:Vector Quantization (VQ) is a well-known technique in deep learning for extracting informative discrete latent representations.