Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
24
click to vote
IMCSIT
2010
favorite
Email
discuss
report
112
views
Information Technology
»
more
IMCSIT 2010
»
Application of optimal settings of the LMS adaptive filter for speech signal processing
13 years 2 months ago
Download
proceedings2010.imcsit.org
Jan Vanus, Vítezslav Stýskala
Real-time Traffic
IMCSIT 2010
|
Information Technology
|
claim paper
Related Content
»
A Family of Adaptive Filter Algorithms in Noise Cancellation for Speech Enhancement
»
A performanceweighted mixture of LMS filters
»
On the tracking performance of combinations of least mean squares and recursive least squa...
»
Evaluating Signal Processing and Multimedia Applications on SIMD VLIW and Superscalar Arch...
»
A novel kernelbased method for local pattern extraction in random process signals
»
Filter bank design based on minimization of individual aliasing terms for minimum mutual i...
»
A Minimax Theorem with Applications to Machine Learning Signal Processing and Finance
»
Sourcedomain adaptive filtering for MIMO systems with application to acoustic echo cancell...
»
Particle filter adaptation for distributed sensors via set membership
more »
Post Info
More Details (n/a)
Added
18 May 2011
Updated
18 May 2011
Type
Journal
Year
2010
Where
IMCSIT
Authors
Jan Vanus, Vítezslav Stýskala
Comments
(0)
Researcher Info
Information Technology Study Group
Computer Vision