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INSTITUTE OF SIGNAL

PROCESSING (ISP)

Presentation of open Bachelor and Master Theses

BSC/MSC Thesis at the ISP -General Remarks

� Bachelor/Master thesis + seminar (SIGN UP !!!)

� Seminar consists of two presentations (midterm and final)

� Goal: Finish your thesis in a reasonable time

� Grade might become worse otherwise

� Make yourself a (realistic) plan before you start!

� Regular meetings with supervisor (Journal!)

� Templates and guidelines how to write your thesis available

Environment

� Access to our students lab (highly recommended)

� Lab equipment for implementation based theses

SHORTPRESENTATIONS OFOPEN THESES

ULTRASOUND IMAGE QUALITY ASSESSMENT

Contact: kyriaki.kostoglou@jku.at

carl.boeck@jku.at

Advantages

• Noninvasive

• Safe

• Low cost

• Portable

• Easy to use

• Widely available

Drawbacks

• Low image resolution

• Artifacts

Aim of the project:

Identify or develop “blind” and “full reference” image quality metrics in order to benchmark image processing systems and algorithms

Combine human expert view of the image quality with mathematical algorithms

Application in phantoms and real anatomical images

AUTOMATIC NEURONAL CLASSIFICATION

Single-unit #1

Single-unit #2

Single-unit #3

Multi-unit activity

Local Field Potential (LFP) &

Background Noise

Extracellular Recording

Neuron

Aim of the project:

Spike Detection Spike Sorting

Hypothesis: The relationship between LFP

and spikes will improve the neuronal

classification that nowadays is based mainly

on spike morphological characteristics

System identification, signal processing, machine learning

Contact: kyriaki.kostoglou@jku.at

carl.boeck@jku.at

WAVELETS ON A CHIP

� FPGA Demonstrator for continuous wavelet transformation for

audio signal processing: “pitch shifter”

� Implementation of the continuous wavelet transform via FFTs

� Embedding in existing real-time Ethernet framework

� Implementation of pitch shifting functionality

� Contact: michael.lunglmayr@jku.at

PORTABLE OBJECT DETECTION UNIT USING PATTERNED LIGHT

Contact: michael.gerstmair@infineon.com

Details: www.isp.jku.at

� Raspberry Pi with display and camera

� Add a Laser pointer which produces a grid

� Laser grid will be distorted by objects

� object can be detected

� Tasks:

� Develop and train a neural network for object detection(Journal Paper: “Deep Learning-Based Obstacle Detection and Classification With Portable

Uncalibrated Patterned Light”)

� Combine developed device with self driving model car

LSTMS/RNNS/CNNS FOR SIGNAL PROCESSING

� Conversion of existing feed-forward

networks to LSTMs/RNNs/CNNs in

PyTorch

� Application to self interference

cancellation in mobile transceivers

� Master Add-On:

� Complex valued

LSTMs/RNNs/(CNNs)

� Online learning

� Contact: oliver.ploder@jku.at

AUTOENCODER FOR SIGNAL PROCESSING

� Feasibility study for the use of

autoencoder for mobile communications

� Application to self interference

cancellation in mobile transceivers

� Master Add-On:

� Complex valued Autoencoder

� Online learning

� Contact: oliver.ploder@jku.at

EASY TO USE MATLAB TESTBED FOR DEEP LEARNING

� Conversion and extension of existing

Python implementations in MATLAB

� Implementation of custom layers in

MATLAB

� Applications to self interference

cancellation in mobile transceivers

� Contact: oliver.ploder@jku.at

3D AUDIO RECORDING AND REPRODUCTION ENVIRONMENT IN MATLAB

Contact: andreas.gaich@jku.at

� Bachelor Thesis

� Spatial audio processing

using B-format signals (Ambisonics)

� Hardwaredesign of microphone

pre-amplifier and microphone array

� Software implementation in Matlab (GUI)

B-format

encoder/decoderHRTF