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201	SPARSE CODING BASED MUSIC GENRE CLASSIFICATION USING SPECTRO-TEMPORAL MODULATIONS Kai-Chun Hsu Chih-Shan Lin Tai-Shih Chi Department of Electrical and Computer Engineering, National Chiao Tung University, Taiwan Add to Reading List Source URL: wp.nyu.edu Language: English - Date: 2016-08-16 16:20:27 Timefrequency analysis Mathematical analysis Signal processing Fourier analysis Spectrogram Short-time Fourier transform S transform Spectrum Gabor filter Transcription Timefrequency representation
202	2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP) COOPERATIVE CPU+GPU DEBLOCKING FILTER PARALLELIZATION FOR HIGH PERFORMANCE HEVC VIDEO CODECS Diego F. de Souza, Nuno Roma, Leonel Sou Add to Reading List Source URL: www.inesc-id.pt Language: English - Date: 2014-05-21 06:24:08 Computing Video Video compression Data compression Videotelephony High-definition television ISO standards Graphics file formats High Efficiency Video Coding Deblocking filter Graphics processing unit H.264/MPEG-4 AVC
203	Chapter 1 CUSTOMIZABLE AND REDUCED HARDWARE MOTION ESTIMATION PROCESSORS Nuno Roma, Tiago Dias, Leonel Sousa Abstract Add to Reading List Source URL: www.inesc-id.pt Language: English - Date: 2005-11-28 09:20:12 Digital media Video Media technology Digital television Noise Video compression Display technology Image processing Video quality Peak signal-to-noise ratio Pixel Block-matching algorithm
204	Defocus techniques for camera dynamic range expansion Matthew Trentacostea and Cheryl Laua and Mushfiqur Roufa and Rafal Mantiuka and Wolfgang Heidricha a University of British Columbia, 2366 Main Mall, Vancouver, Canad Add to Reading List Source URL: matttrent.com Language: English - Date: 2016-08-21 09:50:59 Optics Science of photography Photography Signal processing Image processing Geometrical optics Observational astronomy Deconvolution Coded aperture Defocus aberration Image quality Range imaging
205	ALGORITHMIC LINEAR DIMENSION REDUCTION IN THE `1 NORM FOR SPARSE VECTORS A. C. GILBERT, M. J. STRAUSS, J. A. TROPP, AND R. VERSHYNIN Abstract. We can recover approximately a sparse signal with limited noise, i.e, a vecto Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2009-02-03 14:30:47 Digital signal processing Computational complexity theory Matrix Fast Fourier transform Time complexity Mathematics Computer science Theoretical computer science Polynomials
206	Chapter 8 Fourier Analysis We all use Fourier analysis every day without even knowing it. Cell phones, disc drives, DVDs, and JPEGs all involve fast finite Fourier transforms. This chapter Add to Reading List Source URL: bioinfo.ict.ac.cn Language: English - Date: 2014-11-28 11:05:21 Mathematical analysis Digital signal processing Fourier analysis Integral transforms Joseph Fourier Mathematical physics Fast Fourier transform Fourier transform Fourier Goertzel algorithm Discrete Fourier transform
207	KINETIC PERFORMANCE: FACT SHEET kinetic.com.au Sample Rate, Comparing Apples with Oranges. There is a common misconception that GymAware only samples at 50Hz and so is less accurate than 200Hz systems. GymAware actually Add to Reading List Source URL: kinetic.com.au Language: English - Date: 2016-05-18 21:21:06 Digital signal processing Electrical engineering Mathematics Electromagnetism Sampling NyquistShannon sampling theorem Analog-to-digital converter Audio bit depth
208	Linear-Quadratic Estimation Jenny Hong Stephen Boyd EE103 Add to Reading List Source URL: stanford.edu Language: English - Date: 2015-12-01 12:53:47 Statistics Regression analysis Statistical inference Signal processing Least squares Mathematical optimization Estimation theory Errors and residuals
209	Generated using versionof the official AMS LATEX template What makes an annular mode “annular”? 1 Add to Reading List Source URL: math.nyu.edu Language: English - Date: 2016-06-22 08:21:58 Atmospheric sciences Climatology Covariance and correlation Statistics Time series analysis Climate Signal processing Physical geography Empirical orthogonal functions Antarctic oscillation Arctic oscillation Covariance
210	Local Approximation and Quantization of Operators with Bandlimited Kohn-Nirenberg Symbols Felix Krahmer, Hausdorff Center for Mathematics, Universit¨at Bonn Abstract In communiations engineering, the effect of a slowly Add to Reading List Source URL: math.nyu.edu Language: English - Date: 2010-02-28 17:47:28 Digital signal processing Physics Theoretical physics Signal processing Digital audio Noise Quantum mechanics Quantization Bandlimiting

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