Fast Search Method Based on Vector Quantization for Raman Spectroscopy Identification
In spectroscopy, matching a measured spectrum to a reference spectrum in a large database is often computationally intensive. To solve this problem, we propose a novel fast search algorithm that finds the most similar spectrum in the database. The proposed method is based on principal component tran...
Main Authors: | Jun-Kyu Park, Suwoong Lee, Aaron Park, Sung-June Baek |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-11-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/8/11/1970 |
Similar Items
-
Approximate Nearest Neighbor Search by Residual Vector Quantization
by: Cheng Wang, et al.
Published: (2010-12-01) -
Approximate Nearest Neighbor Search Using Enhanced Accumulative Quantization
by: Liefu Ai, et al.
Published: (2022-07-01) -
An Efficient Codebook Search Algorithm for Line Spectrum Frequency (LSF) Vector Quantization in Speech Codec
by: Yuqun Xue, et al.
Published: (2021-02-01) -
A Hybrid Color Image Quantization Algorithm Based on K-means and Harmony Search Algorithms
by: Rehab AbdElkader, et al.
Published: (2015-03-01) -
SAR IMAGE COMPRESSION USING ADAPTIVE DIFFERENTIAL EVOLUTION AND PATTERN SEARCH BASED K-MEANS VECTOR QUANTIZATION
by: Karri Chiranjeevi, et al.
Published: (2018-04-01)