Methods and Algorithms Sound Signals Processing

Gestural Control of Sound Synthesis and Processing Algorithms

Computer programs such as MUSIC V or CSOUND lead to a huge number of sound examples, either in the synthesis or in the processing domain. The translation of such algorithms to real-time programs such as MAX-MSP allows these digitally created sounds to be used effectively in performance. This includes interpretation, expressivity, or even improvisation and creativity. This particular bias of our...

Discussion of Simple Algorithms and Methods to Separate Nonstationary Signals

In the last decade, many researchers have investigated the blind separation of sources and many algorithms have been proposed to solve this problem for the case of an instantaneous mixture (memoryless mixture) [1]. In general, high-order statistics (i.e., fourth order) are used. However, it has been shown that algorithms and criteria can be simpli ed by adding special assumptions [2]. In this p...

Robust, Automated Methods for Filtering and Processing Neural Signals

This dissertation presents novel tools for robust filtering and processing of neural signals. These tools improve upon existing methods and were shown to be effective under a variety of conditions. They are also simple to use, allowing researchers and clinicians to focus more time on the analysis of neural data and making many tasks accessible to non-expert personnel. The main contributions of ...

Chapter 4. Signals, Information, and Algorithms Signals, Information, and Algorithms

Multiscale State - Space Algorithms for Processing 1 / f Signals

Natural landscapes, noise in electrical devices, and fluctuations in the stock market are among the extraordinary variety of phenomena that exhibit fractal structure. As a result, the need for efficient and robust algorithms for processing fractal signals arises in many engineering contexts. This thesis develops a discrete multiscale state-space representation for an important class of fractal ...