In the area of Deconvolution of the Doppler-Azimuth Radar Spectrum, by the spatio-temporal data obtained from a multi-element radar array is enhanced to obtain a more defined characterization of objects of interest while minimizing the effects of unwanted components. DSP Lab has also been involved in applied research for the local manufacturing industry.
Digital Processing of Photoplethysmographic Blood Volume Pulse
A finger photoplethysmograph (PPG) is a non-invasive transducer to measure the relative changes of blood volume in a subject’s finger. The wave form obtained from such transducer represents the Blood Volume Pulse (BVP) of the subject.
Multi-resolution analysis of temporal sharpness in epileptic spikes
A wavelet transformation is applied to electrocardiogram (ECoG) records from epileptic patients. The temporal sharpness associated with interictal spikes at different resolutions is observed and two ways for representing the multiresolution sharpness of the spikes are proposed.
Digital EEG processing for single-trial motion preparation detection and classification
This research pursues the development of a real-time Digital Signal Processing system capable of detecting and classifying EEG patterns associated with the mere preparation of specific voluntary movements by a subject.
Spatio-Temporal ECoG Analysis for Epileptic Focus Localization
The detection of transient abnormalities in the EEG of epileptic patients, known as “Interictal Epileptic Spikes”, may be used to determine the location of the “focus” or place of origin of the neurological malfunction.
Self-Tuning Algorithm for DSP-Based Motion Control
This project involves the development of an adaptive control algorithm for Computerized Numerical Control machines implemented in a multi-axis motion control board based on a floating-point DSP chip.
A DSP Based Ringing Detection/Attenuation And Advance Warning System
Epilepsy in itself is a brain disorder in which groups of nerve cells or neurons in the brain sometimes signal abnormally. In epilepsy, the normal pattern of neuron electrical activity becomes disturbed, causing strange sensations, emotions, and behavior, or sometimes convulsions, muscle spasms, and loss of consciousness.
Head-Related Transfer Function (HRTF)
The human beings perceive sound in three dimensions. Localization of sound depends on the way the sound waves from the same source differ from each other as they reach the left and right ear. The head, torso, shoulders and the outer ears modify the sound arriving at a person’s ears. This modification can be described by a complex response function – the Head Related Transfer Function (HRTF).
2D- Auditory Mapping of Virtual Environment Using Real-Time Customized Head Related Transfer Functions
This project will take advantage of that ability to create a simple auditory map of a virtual environment with the use of Head Related Transfer Functions (HRTF), which are the basis of the most prominent techniques for digital sound spatialization.
Integrated EMG/Eye Gaze Tracking Computer Cursor Control
This research pursued the conceptualization, implementation, and testing of a system that allows for computer cursor control without requiring hand movement. The target user group for this system are individuals who are unable to use their hands because of spinal dysfunction or other afflictions.
Deconvolution of Space-Time Radar Spectra
This paper considers the operation of multi-element radar arrays in the context of Airborne Early Warning (AEW) applications. A two-dimensional convolution model is proposed to represent the transformation of data determined by the existence of targets characterized by a given relative velocity and located at a certain angle, into a corresponding Azimuth-Doppler Spectrum.