The Signal and Image Processing Lab - Signal and Image Processing Lab.

SIPL winning 1st prize in Kasher undergraduate project contest

Congratulations to Gal Maman and her supervisor Or Yair for winning the first prize in... Read More

SIPL students presenting their work at OCEANS 2019

Paper title: Robust Automatic Detector and Feature Extractor for Dolphin... Read More

SIPL students presenting a demo at ICASSP 2019

Demo title: Manifold Learning for Data-Driven Dynamical System Modeling. The demo is based on a... Read More

SIPL students presenting a demo at IMVC 2019

Demo title: Learning physical laws from video using manifold learning. The demo is based on... Read More

SIPL students awarded a best paper award at ICSEE 2018

SIPL students were awarded a best paper award at the ICSEE 2018 conference for their... Read More

SIPL students winning a best paper award at ICSEE 2018

SIPL Team at ICSEE 2018

At the ICSEE 2018 conference, SIPL presented 4 papers by undergraduate students and one paper... Read More

The Signal and Image processing Lab (SIPL) was established in 1975 in the Department of Electrical Engineering of the Technion. It has been active since in research and teaching in a wide range of signal processing topics. Particularly, in the development and implementation of algorithms for processing speech, audio, image, video, physiological signals, point clouds and more.

Many dozens of graduate students have since completed their research in the lab. In addition, over 100 undergraduate senior year students perform experiments and projects in the lab each year - many of them in collaboration with industry.

SIPL has been involved through the years in many aspects and applications of signal processing, and has provided its graduates an opportunity to gain experience in the field - through projects and research. In addition to its educational role, the research and projects carried out in the lab have directly contributed to the flourishing hi-tech industry in Israel. The activity of the lab was often driven by the needs of the science-based industry and we believe that it had an impact beyond the local scene. Certainly, the research and projects carried out in the lab kept it in the forefront of the activity in the field.

Deep Learning for Physics Classroom Augmented Reality App

The project “Deep Learning for Classroom Augmented Reality Android App” is a second project having the same goal as the previous one – creating an android app that will allow, using an image of …
Robust Automatic Detector And Feature Extractor For Dolphin Whistles

A key in Dolphin’s conservation efforts is population
estimation in their natural environment. A common
method for mapping Dolphin’s appearance is the detection of
their …
Efficient Deep Learning for Pedestrian Traffic Light Recognition

Crossing a road is a dangerous activity for pedestrians and therefore pedestrian crossings and intersections often include pedestrian-directed traffic lights. These traffic lights may be …
Teaching Deep Networks to Improvise Jazz

Algorithmic musical composition is the process of composing music automatically by a computer.
This task, dating back to the 1950s, has been broadly studied using several methods, …
Urban Classification using LiDAR Point Clouds

In this project, an automatic algorithm was developed in order to perform classification of points, in a 3D point cloud, into three classes: “Ground”, “Buildings” and “Others”. The input to the …
EEG Sensor Fusion For Epileptic Seizure Detection

EEG sensors are used to capture electric waves from the human brain. One of its main purposes is to sample signal from Epilepsy patients, to sample their seizures. Nowadays, seizures detection …
Predicting the Existence of Dyslexia in Children Using fMRI

Dyslexia is a learning disorder characterized by difficulties with accurate or fluent word recognition and by poor spelling and decoding abilities. Current diagnosis of dyslexia lacks objective …
Audio QR Over Streaming Media

We describe a system that delivers a website address to a cellular phone by encoding inaudible binary data in an analogue audio signal, which is received by the microphone of the cellular phone. …

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