Signal processing in analytical isotachophoresis using standard chromatographic integration procedures

Signal Processing in Analytical Chemistry

Acceleration of acoustic emission signal processing algorithms using CUDA standard

Offline processing of acoustic emission (AE) signal waveforms recorded during a long-term AE monitoring session is a challenging problem in AE testing area. This is due to the fact that today’s AE systems can work with up to hundreds of channels and are able to process tens of thousands of AE events per second. The amount of data recorded during the session is very high. This paper proposes a w...

P81: Detection of Epileptic Seizures Using EEG Signal Processing

Epilepsy is the most common brain diseases that cause many problems in the daily life of the patient. In most attempts to automatic detection, the attack used an EEG. In this paper, The complete data set consists of five sets recorded from normal and epileptic patients. Each set containing 100 single-channel EEG segments. Here we used first and last sets (A and E). Set A consisted of segments r...

Variational Integration for Speech Signal Processing

Voice production is generally modelled as a two-component dynamical process composed of the vocal folds and vocal tract. Figure 1 shows a diagram of the arrangement of the vocal fold and vocal tract inside the head and neck. The vocal tract is comprised of the pharyngeal, oral and nasal cavities. It is usually modelled as a linear acoustic resonator, and the vocal folds as a nonlinear dynamical...

Integration of signal processing systems on heterogeneous

This paper presents an approach towards single-chip system-level integration of applications in real-time signal processing. The approach is based on the concept of heterogeneous IC architectures, which combine programmable DSP cores with accelerator datapaths, memories and logic on a single chip. The design problem amounts to a hardware/software codesign problem, which is approached by combini...