Dr' Ori Shoshani סמינר מחלקתי

11 באפריל 2016, 15:00 
וולפסון 206  
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Dr' Ori Shoshani סמינר מחלקתי

 

 

 

 

 

School of Mechanical Engineering Seminar
Monday, April 11, 2016 at 15:00
Wolfson Building of Mechanical Engineering, Room 206

 

 

Using Nonlinearity to Reduce Phase Noise in MEMS-based Oscillators

 

Dr. Ori Shoshani

 

 

Due to their inherent compatibility with semiconductor technology and their ability to fulfill device miniaturization requirements, micro-electro-mechanical-system (MEMS) resonating elements are an attractive replacement for quartz crystals in time-keeping applications. They offer fast-responding, low power consumption elements that are readily integrable with electronic circuits in fabrication.  However, as the dimensions of MEMS devices are reduced, resonator frequency becomes highly dependent upon fabrication variances and environmental disturbances that result in degradation of frequency stability.  Moreover, in order to satisfy signal-to-noise ratio specifications, these MEMS devices often need to operate at amplitudes where nonlinear effects come into play, which leads to further degradation in the frequency precision. This talk will provide an overview of frequency stability in MEMS-based oscillators and describe some recently developed approaches to enhancing frequency stability by addressing, and even exploiting, system nonlinearities. Specifically, the use of synchronization and zero-dispersion points in the resonator frequency response will be discussed, and theoretical conditions for optimal operating points will be introduced.  Experimental validation of the results, obtained from experimental collaborators in the Kenny group at Stanford University and in the López group at Argonne National Laboratory, will also be presented.

 

Bio: Oriel Shoshani received the B.S. degree in mechanical engineering from Ben-Gurion University of the Negev, Beer-Sheva, Israel, in 2008 and the Ph.D. degree (direct program) in mechanical engineering from Technion-Israel Institute of Technology, Haifa, Israel, in 2014, for which he worked on problems related to fluid-structure interactions. Currently, he is a postdoctoral fellow in the Department of Mechanical and Aerospace Engineering at Florida institute of Technology and a visiting scholar in the Department of Physics and Astronomy at Michigan State University. His current research interests include dynamics of fluctuating nonlinear vibrational systems and applications to micro/nano-electro-mechanical systems.

 

 

 

 

 

10/3/16

10 במרץ 2016, 15:30 
 
10/3/16

You are invited to attend a lecture

By

 

Oren Pe'eri

 

 

M.Sc student of Prof. Menachem Nathan and Prof. Michael Golub

Electrical Engineering, Physical Electronics Department

Tel Aviv University

 

 

Direct Reconstruction of Spectral Signatures in Optical-Digital Snapshot Spectral Imaging Systems

 

Abstract

This thesis is dedicated to a new approach in spectral imaging. We use an imaging system that includes a spectral disperser, a micro-lens array (MLA), imaging lenses and a monochromatic sensor that records a mix of spectral and spatial data ("spectral cube") in a multiplexed form. We develop a special demultiplexing algorithm for direct extraction of spatial maps corresponding to spectral signatures of interest from the sensor data. This "signature mapping" is based on prior knowledge of spectral signatures of specific materials and on the assumption that the original spectral cube consists of their linear superimposition. Direct extraction of the spatial map of signatures marks the areas where the original image is abundant in specific chemical materials. As such, it substantially reduces the data volume by a ratio of the number of wavelength bands to the number of spectral signatures. The developed method and algorithms are validated by computer simulation of the spectral imaging system with the aid of spectral cubes of real multi-spectral images of gas plumes.

 

Thursday, March 10, 2016, at 15:30

Room 011, Kitot building

 

 

 

EE Seminar: Advanced Iterative Equalization Methods

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Speaker: Doron Shinbox
M.Sc. student under the supervision of Dr. Dan Raphaeli

Wednesday, March 16th, 2016 at 15:30
Room 011, Kitot Bldg., Faculty of Engineering

Advanced Iterative Equalization Methods

Abstract
In this work, we address a well studied problem of the iterative equalization (uncoded and coded). Even though that the two known uncoded iterative equalizers, the ISDIC and the MMSE ISDIC equalizers, were introduced and investigated more than a decade ago, there is no practical solution to the high complexity of the MMSE ISDIC and the low performance of the ISDIC. In this work, we introduce a novel, low complexity and high performance equalizer, the Multiple Symbol (MS) ISDIC equalizer. The MS ISDIC equalizer is the first equalizer that bridges the gap between the low complexity ISDIC equalizer to the high complexity MMSE ISDIC. In addition, we introduce the Constant Filter MS ISDIC (CF MS ISDIC), which is even a lower complexity version of MS ISDIC equalizer. Then, the two MS ISDIC versions will be incorporated into the Turbo Equalizer (TEQ) scheme, resulting in an enhanced TEQ, that perform better than the conventional, state of the art, linear TEQ, with lower complexity and lower amount of iterations.

 

16 במרץ 2016, 15:30 
חדר 011, בניין כיתות חשמל  

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