Locally adaptive vector quantization: Data compression with feature preservation [PDF]
A study of a locally adaptive vector quantization (LAVQ) algorithm for data compression is presented. This algorithm provides high-speed one-pass compression and is fully adaptable to any data source and does not require a priori knowledge of the source ...
Cheung, K. M., Sayano, M.
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Speaker recognition utilizing distributed DCT-II based Mel frequency cepstral coefficients and fuzzy vector quantization [PDF]
, 2013 In this paper, a new and novel Automatic Speaker Recognition (ASR) system is presented. The new ASR system includes novel feature extraction and vector classification steps utilizing distributed Discrete Cosine Transform (DCT-II) based Mel Frequency ...
Gregory, M, Hossan, M
core
During the past ten years Vector Quantization (VQ) has developed from a theoretical possibility promised by Shannon's source coding theorems into a powerful and competitive technique for speech and image coding and compression at medium to low bit rates.
Gray, Robert M.
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Video data compression using artificial neural network differential vector quantization [PDF]
An artificial neural network vector quantizer is developed for use in data compression applications such as Digital Video. Differential Vector Quantization is used to preserve edge features, and a new adaptive algorithm, known as Frequency-Sensitive ...
Ahalt, Stanley C. +2 more
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Automatic Classifiers for Medical Data from Doppler Unit [PDF]
, 2007 Nowadays, hand-held ultrasonic Doppler units are often used for noninvasive screening of atherosclerosis in arteries of the lower limbs. The mean velocity of blood flow in time and blood pressures are measured on several positions on each lower limb ...
Klimovic, T., Malek, J., Nouza, J.
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Soft Quantization Using Entropic Regularization. [PDF]
Entropy (Basel), 2023 Lakshmanan R, Pichler A.
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Real time speaker recognition using MFCC and VQ [PDF]
, 2008 Speaker Recognition is a process of automatically recognizing who is speaking on the basis of the individual information included in speech waves.
G, Arun Rajsekhar
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Investigations on the Optimal Estimation of Speech Envelopes for the Two-Stage Speech Enhancement. [PDF]
Sensors (Basel), 2023 Song Y, Madhu N.
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The design and performance of a real-time self excited vocoder [PDF]
This paper is concerned with a generic class of predictive speech coders that includes the newly proposed Self Excited Vocoder (SEV) and the well known Code-Excited Linear Predictive Coder (CELPC).
Barnwell, T. P., III +2 more
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Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model. [PDF]
Sci Rep, 2022 Rupapara V +5 more
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