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

 

 

 

קוביה 6 הפקולטה - יום האישה 2016

EE Seminar: Advanced Iterative Equalization Methods

~~
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  

EE Seminar: Simple Photonic Emission Attack with Reduced Data Complexity

~~
Speaker: Elad Carmon,
M.Sc. student under the supervision of Prof. Avishai Wool

Wednesday, March 16th, 2016 at 15:00
Room 011, Kitot Bldg., Faculty of Engineering

Simple Photonic Emission Attack with Reduced Data Complexity

Abstract

While the phenomena of photonic emission from switching transistors in silicon is actually a very old one, the role of photons in cryptography as a practical side channel source has just recently emerged as a novel research direction and a methodology named simple photonic emission analysis (SPEA) was used to attack AES.
This work proposes substantial algorithmic enhancements to the SPEA method by adding cryptographic post processing, and improved signal processing to the photonic measurement phase. Our improved approach provides three crucial benefits:
1.  For some SBox/SRAM configurations the original SPEA method is unable to identify a unique key, and terminates with up to 2^(48) key candidates; using our new solver we are able to find the correct key regardless of the respective SBox/SRAM configuration.
2. Our methods reduce the number of required (complex photonic) measurements by an order of magnitude, thereby shortening the duration of the attack significantly.
3. Due to the unavailability of the attack equipment we additionally developed a novel Photonic Emission Simulator which we matched against the real equipment of the original SPEA work. With this simulator we were able to verify our enhanced SPEA by a full AES recovery which uses only a small number of photonic measurements.

 

16 במרץ 2016, 15:00 
חדר 011, בניין כיתות חשמל  

EE Seminar: Recent Results in 3D scanning

~~(The talk will be given in English)

Speaker:   Prof. Andrei Sharf
                       Computer Science Department, Ben Gurion University

Monday, March 14th, 2016
15:00 - 16:00
Room 011, Kitot Bldg., Faculty of Engineering

Recent Results in 3D scanning

Abstract
The evolution of 3D scanners has made it possible to acquire a large variety of objects such as urban scenes, underwater and lately even motion. The initial representation of the scene consists of several properly transformed depth images, resulting in a point sampling of the object's surface.
Typically, 3D scan data consist of missing parts, noise and outliers.One of today's principal challenges is the development of robust point processing and reconstruction techniques that deal with the inherent inconsistencies in the acquired data set.

In my talk I will present recent advances in processing 3D points data. Motivated by recent advancements in sparse signal reconstruction, I will present a "lower-than-L2" minimization  scheme for sparse reconstruction. The sparsity principle gives rise to a  novel global reconstruction paradigm for sharp point set surfaces which is  robust to noise. Next, I will present a supervised learning algorithm for understanding cluttered indoor scenes. We argue that object classification cannot be directly applied to the scanned scene, since object segmentation is unavailable. Moreover, the segmentation problem is as challenging as classification since spatial relationships between points and patches are neither complete nor reliable.  Our key idea is to interleave the segmentation and classification computations, defining a novel search-classify scene understanding framework.

Short bio
ANDREI SHARF is an associate professor at the computer science department at Ben-Gurion University. Previously, he has been a Visiting Associate Professor at the Shenzhen Institute of Advanced Technology(SIAT) Chinese Academy of Sciences and a Postdoctoral researcher at the School of Computer Science in UC-Davis U.S. His research interests are in computer graphics, including geometry processing, interactive techniques, urban modeling and motion reconstruction. In 2012, Sharf received the Eurographics young researcher award for his contributions to the field of 3D point clouds and in a range of related problems.

 

14 במרץ 2016, 15:00 
חדר 011, בניין כיתות-חשמל  

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