Presented is the algorithm of the subtraction procedure for removing powerline interference from ECG signals. The existing MatLab prototype version is adapted for real time execution on DSP and programmable logic (FPGA) platforms. The algorithm is ported and experimented in case of odd sample number in one period of the interference. The corresponding formulas for even sample number are given t...

In this paper, a method based on the physics-informed neural networks (PINNs) is presented to analyze 2D in-plane crack problems in linear elastic fracture mechanics. Instead of using discretizing mesh, PINNs-based meshless and can be trained batches discretely sampled collocation points. order capture asymptotic behavior near-tip displacement stress fields, standard PINNs formulation enriched ...

This work discusses a hardware/software platform for educational purpose which integrates MATLAB/Simulink, Texas Instruments (TI) eXpressDSP Tools and C6000 digital signal processing (DSP) target let develop and validate digital signal processing designs from concept through code, in a typical professional vision design-simulation-implementation. This platform automates rapid prototyping on C60...

This paper, establishes a complete vehicle model in MATLAB/Simulink development environment, constructs a vehicle control application using Stateflow, Generates C source code for a microcontroller with Real Time Workshop, builds object code for target CPU, develops an efficient seamless development system used in real-time hardware in the loop system, and validates the system practical performa...

SUMMARY IRootLab is a free and open-source MATLAB toolbox for vibrational biospectroscopy (VBS) data analysis. It offers an object-oriented programming class library, graphical user interfaces (GUIs) and automatic MATLAB code generation. The class library contains a large number of methods, concepts and visualizations for VBS data analysis, some of which are introduced in the toolbox. The GUIs ...

At Leiden Embedded Research Center (LERC), we are building a tool chain called Compaan/Laura that allows us to map fast and efficiently applications written in Matlab onto reconfigurable platforms. In this chain, first the Matlab code is converted automatically to executable Kahn Process Network (KPN) specification. Then a tool called Laura accepts this specification and transforms the specific...

As the size of datasets continues to grow, machine learning applications are becoming increasingly limited by the amount of available computational power. Taking advantage of modern hardware requires using multiple parallel programming models targeted at di erent devices (e.g. CPUs and GPUs). However, programming these devices to run e ciently and correctly is difficult, error-prone, and result...