'Time frequency' diaporamas de présentation

Justin Dauwels LIDS, MIT Amari Research Unit, Brain Science Institute, RIKEN June 11, 2008

Machine learning techniques for quantifying neural synchrony: application to the diagnosis of Alzheimer's disease from EEG. Justin Dauwels LIDS, MIT Amari Research Unit, Brain Science Institute, RIKEN June 11, 2008. Acknowledgments. Collaborators

851 views • 76 slides

Ensemble Empirical Mode Decomposition

Ensemble Empirical Mode Decomposition. Zhaohua Wu Center for Ocean-Land-Atmosphere Studies And Norden E Huang National Central University. OUTLINE. Time-frequency analysis Fourier Transform Windowed FT Wavelets Hilbert-Huang Transform EEMD: Noise Assisted Data Analysis Applications.

1.23k views • 64 slides

DCM for Time-Frequency

DCM for Time-Frequency. 1. DCM for Induced Responses 2. DCM for Phase Coupling. Bernadette van Wijk. Dynamic Causal Models. Physiological. Phenomenological. Neurophysiological model. Models a particular data feature. Phase. inhibitory interneurons. Frequency. spiny stellate cells.

577 views • 37 slides

DCM for Time-Frequency

DCM for Time-Frequency. 1. DCM for Induced Responses 2. DCM for Phase Coupling. Bernadette van Wijk. Dynamic Causal Models. Physiological. Phenomenological. Neurophysiological model. Models a particular data feature. Phase. inhibitory interneurons. Frequency. spiny stellate cells.

526 views • 37 slides

DCM for Time-Frequency

DCM for Time-Frequency. DCM for Induced Responses DCM for Phase Coupling. Bernadette van Wijk. Dynamic causal models. Physiological. Phenomenological. Neurophysiological model. Models a particular data feature. Phase. inhibitory interneurons. Frequency. spiny stellate cells. Time.

538 views • 36 slides

Digital Signal Processing

Digital Signal Processing. Prof. Nizamettin AYDIN naydin @ yildiz .edu.tr http:// www . yildiz .edu.tr/~naydin. Digital Signal Processing. Lecture 13 Digital Filtering of Analog Signals. READING ASSIGNMENTS. This Lecture: Chapter 6, Sections 6-6, 6-7 & 6-8 Other Reading:

577 views • 35 slides

Additivity of auditory masking using Gaussian-shaped tones

Acoustics Research Institute. Austrian Academy of Sciences. Additivity of auditory masking using Gaussian-shaped tones a Laback, B., a Balazs, P., a Toupin, G., b Necciari, T., b Savel, S., b Meunier, S., b Ystad, S., and b Kronland-Martinet, R.

411 views • 33 slides

Data conditioning and veto for TAMA burst analysis

Data conditioning and veto for TAMA burst analysis. Masaki Ando and Koji Ishidoshiro (Department of Physics, University of Tokyo) and the TAMA Collaboration. Main output. Monitor signals. Data conditioning (Whitening, freq.-band selection, Line removal).

418 views • 27 slides

Introduction to Wavelet

S. S. D 1. A 1. D 2. A 2. A 3. D 3. Introduction to Wavelet. Bhushan D Patil PhD Research Scholar Department of Electrical Engineering Indian Institute of Technology, Bombay Powai, Mumbai. 400076. Outline of Talk. Overview Historical Development

397 views • 26 slides

Data conditioning and veto for TAMA burst analysis

Data conditioning and veto for TAMA burst analysis. Masaki Ando and Koji Ishidoshiro (Department of Physics, University of Tokyo) and the TAMA Collaboration. Main output. Monitor signals. Data conditioning (Whitening, freq.-band selection, Line removal).

323 views • 24 slides

Localization and Assessment of Epileptic Foci A new method using Wavelet Packets

297 views • 21 slides

THE PROBLEM

291 views • 21 slides

Advanced signal processing Dr. Mohamad KAHLIL Islamic University of Lebanon

Advanced signal processing Dr. Mohamad KAHLIL Islamic University of Lebanon. Outline. Random variables Histogram, Mean, Variances, Moments, Correlation, types, multiple random variables Random functions Correlation, stationarity, spectral density estimation methods

352 views • 20 slides

Decomposing event related EEG using Parallel Factor

301 views • 20 slides

T. Scott Brandes

Feature Vector Selection and Use With Hidden Markov Models to Identify Frequency-Modulated Bioacoustic Signals Amidst Noise. T. Scott Brandes. IEEE Transactions on Audio, Speech and Language Processing,2008. Outline. INTRODUCTION METHODS EXPERIMENTAL RESULTS AND DISCUSSION CONCLUSION.

242 views • 16 slides

The LIGO/Virgo Burst Search

Low-latency search for gravitational-wave transients with electromagnetic follow-up Joshua Smith, Syracuse University for the LIGO Scientific Collaboration and the Virgo Collaboration APS Meeting, Denver, Colorado. The LIGO/Virgo Burst Search. Burst searches cast a wide net

216 views • 12 slides

Phonology

353 views • 10 slides

The New GDS Source Tree

184 views • 7 slides

Overview of Part II, CMSC5707 Advanced Topics in Artificial Intelligence KH Wong

Overview of Part II, CMSC5707 Advanced Topics in Artificial Intelligence KH Wong. Audio signal processing Signals in time & frequency domains Audio feature extraction techniques Time/Frequency domain Linear predicted coding Vector quantization Cepstral coefficients

220 views • 2 slides

Parallel Factor Analysis as an exploratory tool for wavelet transformed event related EEG

103 views • 2 slides