Experiments

In this experiment, students acquire basic knowledge of machine learning techniques and in particular deep learning, and use these techniques to solve image classification problems.

In this experiment, students learn the basics of real-time signal processing for embedded systems. Examples of embedded devices are mobile phone, digital camera and vehicle's anti-lock braking system (ABS). Signal processing algorithms used on those devices should be adapted to hardware constraints.

In this experiment, students become familiar with the basic principles of image and video compression techniques as exploited in the well known JPEG and MPEG/H.26X standards.

In this experiment, students become familiar with speech signals, their statistical properties and with a model that represents the production of such a signal. Speech coders based on similar models are used in many systems, such as mobile telephony and voice-over-IP.