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MU-FASHION

MU-FASHION

MU-FASHION. Mu lti-Resolution Data F usion using A gent-Bearing S ensors In Hi erarchically- O rganized N etworks. Project Participants: Krishnendu Chakrabarty (Duke University) S. S. Iyengar (Louisiana State University Hairong Qi (University of Tennessee).

By arleen
(685 views)

Time Modulated Ultra-Wideband Technology

Time Modulated Ultra-Wideband Technology

Time Modulated Ultra-Wideband Technology. Paul Withington Senior Technologist Time Domain Corporation 6700 Odyssey Drive Huntsville, Alabama 35806 USA TEL: 256 922 9229 FAX: 256 922 0387 E-M: paul.withington@tdsi.com. Time Modulated Ultra-Wideband Technology.

By toki
(167 views)

Lecture 16 Random Signals and Noise (III)

Lecture 16 Random Signals and Noise (III)

Lecture 16 Random Signals and Noise (III). Fall 2008 NCTU EE Tzu-Hsien Sang. 1. 1. 1. 1. Outline. Terminology of Random Processes Correlation and Power Spectral Density Linear Systems and Random Processes Narrowband Noise. Linear Systems and Random Processes.

By nevan
(241 views)

TELECOMMUNICATIONS

TELECOMMUNICATIONS

TELECOMMUNICATIONS. Dr. Hugh Blanton ENTC 4307/ENTC 5307. POWER SPECTRAL DENSITY. Summary of Random Variables. Random variables can be used to form models of a communication system Discrete random variables can be described using probability mass functions

By Patman
(246 views)

Chapter 5

Chapter 5

Chapter 5. The Fourier Transform. Basic Idea. We covered the Fourier Transform which to represent periodic signals We assumed periodic continuous signals We used Fourier Series to represent periodic continuous time signals in terms of their harmonic frequency components (Ck).

By lyre
(257 views)

3F4 Power and Energy Spectral Density

3F4 Power and Energy Spectral Density

3F4 Power and Energy Spectral Density. Dr. I. J. Wassell. Power and Energy Spectral Density. The power spectral density (PSD) S x ( w ) for a signal is a measure of its power distribution as a function of frequency

By hamilton
(586 views)

Thunderstorm Characteristics of Importance to Wind Engineering

Thunderstorm Characteristics of Importance to Wind Engineering

Thunderstorm Characteristics of Importance to Wind Engineering. Franklin T. Lombardo, Ph.D. Texas Tech University Lubbock Severe Weather Conference Lubbock, Texas February 18, 2010. PROBLEM STATEMENT. “Wind is Wind” Statistics for wind/pressure used in wind load standard (ASCE 7)

By anila
(131 views)

Applications of Fourier Transform

Applications of Fourier Transform

Applications of Fourier Transform. Outline. Sampling Bandwidth Energy density Power spectral density. Putting Everything Together. Frequency Spectrum of Sampled Data Signal. F( ω ) is replicated at integers of ω S as the result of sampling.

By aderyn
(279 views)

High Harmonic Generation off a Tape Drive as seed for the LPA-based FEL

High Harmonic Generation off a Tape Drive as seed for the LPA-based FEL

High Harmonic Generation off a Tape Drive as seed for the LPA-based FEL. Physics and Applications of High Brightness Beams: Towards a Fifth Generation Light Source Monday 2013-03-25 Jeroen van Tilborg LOASIS program, LBNL. Acknowledgements.

By wells
(152 views)

Slide 1

Slide 1

Project: IEEE P802.15 Working Group for Wireless Personal Area Networks(WPANs) Submission Title: Simulation Results of the Merged TVWS-OFDM PHY Date Submitted: September 2012 Source: Cheol -ho Shin , Byoung Hak kim , Seung Sik Lee and Sangsung Choi (ETRI), Soo -Young Chang ( SYCA )

By crescent
(98 views)

Correlation Fourier Transform Harmonic Analysis

Correlation Fourier Transform Harmonic Analysis

Correlation Fourier Transform Harmonic Analysis. Looking for cycles, seasonal patterns and other periodicities in time-series data. Correlation Functions. Autocovariance function Where τ =k∙ Δ t, k=0,……M Autocorrelation function Note the difference between the two functions. dt =0.5;

By meriel
(154 views)

“something about ground vibration measurements”

“something about ground vibration measurements”

“something about ground vibration measurements”. K.Artoos Slides from M.Guinchard , Ch. Collette, M. Sylte. Equipment PSD Integrated RMS displacement Technical noise sources: model + some examples Sensor noise Coherence measurements. Ground vibration measurements. Equipment and settings.

By prince
(105 views)

ارتباطات داده (883-40) مدولاسیون های موج پیوسته

ارتباطات داده (883-40) مدولاسیون های موج پیوسته

ارتباطات داده (883-40) مدولاسیون های موج پیوسته. دانشکده مهندسی کامپیوتر. نیمسال دوّم 93-92 افشین همّت یار. Continuous-Wave Modulations. Introduction Amplitude Modulation Linear Modulation Schemes Frequency Translation Frequency -Division Multiplexing Angle Modulation

By dorcas
(181 views)

The Fractional Fourier Transform and Its Applications

The Fractional Fourier Transform and Its Applications

The Fractional Fourier Transform and Its Applications. Presenter: Pao-Yen Lin Research Advisor: Jian-Jiun Ding , Ph. D. Assistant professor Digital Image and Signal Processing Lab Graduate Institute of Communication Engineering National Taiwan University. Outlines . Introduction

By herb
(202 views)

Basic Concepts of Stochastic Processes

Basic Concepts of Stochastic Processes

Basic Concepts of Stochastic Processes. YangQuan Chen, Ph.D., Director, MESA (Mechatronics, Embedded Systems and Automation) Lab MEAM/EECS, School of Engineering, University of California, Merced E : yqchen@ieee.org ; or , yangquan.chen@ucmerced.edu

By naeva
(132 views)

6.4 Digital Modulation

6.4 Digital Modulation

6.4 Digital Modulation. 6.4 Digital Modulation. cost effective because of advances in digital technology ( VHDL, DSP, FPGA… ) digital vs analog - digital has better noise immunity - digital can be robust to channel impairments - digital data can be multiplexed

By ismet
(257 views)

GNSS ionosphere research activities at FCT/UNESP

GNSS ionosphere research activities at FCT/UNESP

GNSS ionosphere research activities at FCT/UNESP João Francisgo Galera Monico , Paulo De Oliveira Camargo FCT/UNESP - Presidente Prudente , SP. Outline. Introduction Developments on GNSS/Ionosphere Brazilian Ionospheric Model Mod_ION Mod_ION_FK /IG Rinex_HO GNSS demands in Brazil

By prue
(159 views)

Recovering hardware injections in LIGO s5 data

Recovering hardware injections in LIGO s5 data

Recovering hardware injections in LIGO s5 data. Ashley Disbrow Carnegie Mellon University Roy Williams, Michele Vallisneri , Jonah Kanner LIGO SURF 2013. Outline. LOSC Open Science Data Release Hardware Injections of compact binary coalescence signals What are these?

By marlo
(166 views)

Op-Amp Noise Calculation and Measurement

Op-Amp Noise Calculation and Measurement

Op-Amp Noise Calculation and Measurement. Art Kay Senior Applications Engineer Texas Instruments Inc – Tucson kay_art@ti.com. Art Kay, PA-Linear Applications Manager Mixed Signal “System-on-a-Chip” Bridge Sensor Signal Conditioning Evaluation Modules (hardware / software) Noise

By avari
(419 views)

Design Issues for Wireless Networks Across Diverse and Fragmented Spectrum

Design Issues for Wireless Networks Across Diverse and Fragmented Spectrum

Design Issues for Wireless Networks Across Diverse and Fragmented Spectrum. Collaborators: Bell Labs India : Supratim Deb, Kanthi Nagaraj Bell Labs USA: Piyush Gupta. Mobile Data Explosion Will Result in Diverse & Fragmented Spectrum. Examples:

By lihua
(94 views)

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