'Wavelet domain' diaporamas de présentation

Approximate Query Processing using Wavelets

Approximate Query Processing using Wavelets. Kaushik Chakrabarti(Univ Of Illinois) Minos Garofalakis(Bell Labs) Rajeev Rastogi(Bell Labs) Kyuseok Shim(KAIST and AITrc) Presented at 26 th VLDB Conference, Cairo, Egypt Presented By Supriya Sudheendra. Outline. Introduction.

488 views • 35 slides

Approximate Query Processing using Wavelets

Approximate Query Processing using Wavelets. Kaushik Chakrabarti ( Univ Of Illinois) Minos Garofalakis (Bell Labs) Rajeev Rastogi (Bell Labs) Kyuseok Shim(KAIST and AITrc ) Presented at 26 th VLDB Conference, Cairo, Egypt Presented By Supriya Sudheendra. Outline. Introduction.

482 views • 34 slides

Overview

WAVELET NOISE REMOVAL FROM BASEBAND DIGITAL SIGNALS IN BANDLIMITED CHANNELS Dr. Robert Barsanti SSST March 2010, University of Texas At Tyler. Overview. Introduction Baseband Digital Signals Wavelet Domain Filtering Matched Filtering Wavelet Coefficients Simulations and Results Summary.

413 views • 31 slides

Predicting Wavelet Coefficients Over Edges Using Estimates Based on Nonlinear Approximants

Predicting Wavelet Coefficients Over Edges Using Estimates Based on Nonlinear Approximants. Onur G. Guleryuz oguleryuz@erd.epson.com Epson Palo Alto Laboratory Palo Alto, CA google: Onur Guleryuz. Outline:. Background and Problem Statement Formulation Algorithm Results.

372 views • 29 slides

Overview

APPLICATION OF A WAVELET-BASED RECEIVER FOR THE COHERENT DETECTION OF FSK SIGNALS Dr. Robert Barsanti, Charles Lehman SSST March 2008, University of New Orleans. Overview. Introduction FSK Signals Wavelet Domain Filtering Wavelet Domain Correlation Receiver Simulations and Results Summary.

423 views • 27 slides

Overview

COMPARING NOISE REMOVAL IN THE WAVELET AND FOURIER DOMAINS Dr. Robert Barsanti SSST March 2011, Auburn University. Overview. Introduction Transform Domain filtering Basis Selection Simulations and Results Summary. Introduction. It is widely known that the DFT has it shortcomings.

292 views • 20 slides

Template Learning from Atomic Representations:

Template Learning from Atomic Representations:. A Wavelet-based Approach to Pattern Analysis. Clay Scott and Rob Nowak. Electrical and Computer Engineering Rice University www.dsp.rice.edu. Supported by ARO, DARPA, NSF, and ONR. The Discrete Wavelet Transform.

276 views • 19 slides

Template Learning from Atomic Representations:

Template Learning from Atomic Representations:. A Wavelet-based Approach to Pattern Analysis. Clay Scott and Rob Nowak. Electrical and Computer Engineering Rice University www.dsp.rice.edu. Supported by ARO, DARPA, NSF, and ONR. The Discrete Wavelet Transform.

245 views • 19 slides

Template Learning from Atomic Representations:

Template Learning from Atomic Representations:. A Wavelet-based Approach to Pattern Analysis. Clay Scott and Rob Nowak. Electrical and Computer Engineering Rice University www.dsp.rice.edu. Supported by ARO, DARPA, NSF, and ONR. The Discrete Wavelet Transform.

199 views • 19 slides

Film Restoration PhD presentation

Film Restoration PhD presentation. Alasdair Newson Tuesday 16 November 2010. Context/introduction. PhD Subject : Robust and efficient tools for digital film restoration. Initial directions/considerations : Artifact detection Non-impulsive defects ( line scratches ... )

496 views • 18 slides

Irene Amerini, Roberto Caldelli, Vito Cappellini, Francesco Picchioni, Alessandro Piva

Analysis of denoising filters for photo response non uniformity noise extraction in source camera identification. Irene Amerini, Roberto Caldelli, Vito Cappellini, Francesco Picchioni, Alessandro Piva irene.amerini@unifi.it Santorini,06.07.09. Outline. Multimedia Forensics

164 views • 16 slides

Recent results of wavelet applications for handling invariant mass spectra

13 th CBM Collaboration meeting March 10-13 2008, GSI, Darmstadt. Recent results of wavelet applications for handling invariant mass spectra. Gennady Ososkov LIT JINR, Dubna Piotr Koczon GSI, Darmstadt Semeon Lebedev, LIT JINR, GSI, Darmstadt. Math background.

278 views • 14 slides

Observing the Bursting Universe with LIGO: Status and Prospects

Observing the Bursting Universe with LIGO: Status and Prospects. Erik Katsavounidis LSC Burst Working Group 8 th GWDAW - UWM Dec 17-20, 2003. Bursts: what we are searching for.

268 views • 14 slides

Video Data Hiding using Forbidden Zone and Selective Embedding

Video Data Hiding using Forbidden Zone and Selective Embedding. Submitted Under <Guide Name > Team Members . Abstract. We propose a new video data hiding method that makes use of erasure correction capability of repeat accumulate codes and superiority of forbidden zone data hiding.

665 views • 7 slides

Sets S 3. Sets S 2. Sets S 1. Scanning sequence. *. SPIHT JPEG2000 SPHFB. SPIHT JPEG2000 SPHFB. a) b) c). a) b) c). Set is quadrisected into sets of type S 2. Set of type S 3

151 views • 1 slides

The Problem

Wavelet Domain Reconstruction of Lost Blocks in Wireless Image Transmission Shantanu Rane, Jeremiah Remus, Guillermo Sapiro Department of Electrical Engineering, University of Minnesota, Minneapolis. T. D. D. R. L. D. B. D. Examples. Classification of Lost (Code)Block. The Problem.

65 views • 1 slides