We have created open-source Simulink block libraries for ITK and VTK that allow pipelines for these toolkits to be built in a visual, drag-and-drop style within MATLAB. Each block contains an instance of an ITK or VTK class. Any block connections and parameters that the user makes within MATLAB’s Simulink visual environment are converted into connections and parameters for the ITK and VTK pipel...

In this paper, a new method is introduced to implement chaotic generators based on the Henon map and Lorenz chaotic generators given by the state equations using the Field Programmable Gate Array (FPGA). The aim of this method is to increase the frequency of the chaotic generators. The new method is based on the MATLAB Software, Xilinx System Generator, Xilinx Alliance tools and Synplicity Synp...

Processing speed between Matlab and C++ was compared by examining launch windows and handling large amounts of data found in pork chop plots. A compilation of code was generated in Matlab to produce the plots and an identical file was created in C++ that was then compiled and run in Matlab to plot the data. This file is known as a MEX-file. This report outlines some of the basics when working w...

Nowadays, the software for electronic control units in embedded systems is often developed using a chain of modelbased development tools. For example, in the field of automotive systems often tools like Matlab/Simulink and related code generation tools such as dSPACE TargetLink are used. To ensure that the produced models can be processed as expected by the employed tool chains, i.e., fulfill a...

In this paper, we introduce a new method to implement chaotic generators based on Henon map chaotic system given by the state equations by using Filed Programmable Gate Array (FPGA). The aim of this method is to increase the frequency of the chaotic generators. The new method is based on MATLAB Software, Xilinx System Generator, Xilinx Alliance tools, Leonardo spectrum or Synplicity Synplify an...

Fractal structures are found in biomedical time series from a wide range of physiological phenomena. The multifractal spectrum identifies the deviations in fractal structure within time periods with large and small fluctuations. The present tutorial is an introduction to multifractal detrended fluctuation analysis (MFDFA) that estimates the multifractal spectrum of biomedical time series. The t...

The Computer Aided Modeling Program (CAMP-G) is a Bond Graph Modeling tool designed to make physical system models in graphical form and to generate systems of equations in source code form so that computer simulation programs and now MATLAB can analyze dynamic systems. Current technology allows the creation of system models using CAMP-G and performing simulations using general purpose simulati...

Inferring variable types precisely is very important to be able to compile MATLAB libraries effectively in the context of the telescoping languages framework being developed at Rice. Past studies have demonstrated the value of type information in optimizing MATLAB [4]. The variable types are inferred through a static approach based on writing propositional constraints on program statements [11]...

For optimization of real-world arch dams, it is unavoidable to consider two or more conflicting objectives. This paper employs two multi-objective differential evolution algorithms (MoDE) in combination of a parallel working MATLAB-APDL code to obtain a set of Pareto solutions for optimal shape of arch dams. Full dam-reservoir interaction subjected to seismic loading is considered. A benchmark ...

Distinguishing between adjacent targets is a major problem in radar system. Two targets located in the detection area of radar appear as one point on the radar screen if the distance between the two adjacent targets is less than the distance resolution of radar and the angle between these adjacent targets is less than the angle resolution of the radar. This paper discusses how to increase the d...