The ASP Laboratory is dedicated to research in the field of advanced digital signal processing and its various applications: denoising, compression, blind source separation, communication, control and bioinformatics. The aim of the laboratory is development of novel digital signal processing algorithms, such as adaptive wavelets, or robust adaptive systems based on the minimum of the L1 norm. Furthermore, the goal of the laboratory is to develop innovative applications that rely on advanced DSP methods. The example is use of supervised and unsupervised learning methods for solving problems in bioinformatics, in video tracking or for object recognition. Several applied research projects deal with realization of communication systems based on sound waves, or with tracking of the position of a sound source etc.