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INFORMATICALT
2011
126views more  INFORMATICALT 2011»
9 years 6 months ago
Quality of Quantization and Visualization of Vectors Obtained by Neural Gas and Self-Organizing Map
Abstract. In this paper, the quality of quantization and visualization of vectors, obtained by vector quantization methods (self-organizing map and neural gas), is investigated. A ...
Olga Kurasova, Alma Molyte
CORR
2010
Springer
121views Education» more  CORR 2010»
9 years 9 months ago
Universal Rate-Efficient Scalar Quantization
Scalar quantization is the most practical and straightforward approach to signal quantization. However, it has been shown that scalar quantization of oversampled or Compressively ...
Petros Boufounos
ICMCS
2009
IEEE
161views Multimedia» more  ICMCS 2009»
9 years 9 months ago
Novel VQ with constraints on the quantization error distribution
In this paper, we motivate and introduce a novel vector quantization (VQ) scheme for distributing the quantization error among the quantized features of a continuous feature vecto...
Joachim Schenk, Frank Wallhoff, Gerhard Rigoll
ESANN
2008
10 years 1 months ago
Initialization mechanism in Kohonen neural network implemented in CMOS technology
An initialization mechanism is presented for Kohonen neural network implemented in CMOS technology. Proper selection of initial values of neurons' weights has a large influenc...
Tomasz Talaska, Rafal Dlugosz
CDC
2008
IEEE
141views Control Systems» more  CDC 2008»
10 years 6 months ago
Stabilizing uncertain systems with dynamic quantization
—We consider state feedback stabilization of uncertain linear systems with quantization. The plant uncertainty is dealt with by the supervisory control framework, which employs s...
Linh Vu, Daniel Liberzon
ICASSP
2009
IEEE
10 years 6 months ago
Voronoi cell shaping for feature selection with discrete HMMs
In this paper, we introduce a novel vector quantization (VQ) scheme for distributing the quantization error equally among the quantized dimensions. Afterwards, the proposed VQ sch...
Joachim Schenk, Gerhard Rigoll
ICIP
2001
IEEE
11 years 1 months ago
DCT quantization noise in compressed images
In lossy image compression schemes utilizing the discrete cosine transform (DCT), quantization of the DCT coefficients introduces error in the image representation and a loss of s...
Mark A. Robertson, Robert L. Stevenson
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