An investigation of time efficiency in wavelet-based Markov parameter extraction methods

This paper investigates the time efficiency of using a wavelet transform-based method to extract the impulse response characteristics of a structural dynamic system. Traditional time domain procedures utilize the measured disturbances and response histories of a system to develop a set of auto and cross correlation functions. Through deconvolution of these functions, or matrix inversion, the Markov parameters of the system may be found. By transforming these functions into a wavelet basis, the size of the problem to be solved can be reduced as well as the computation time decreased. Fourier transforms are also used in this capacity as they may increase the time efficiency even more, but at the cost of accuracy. This paper will therefore compare the time requirements associated with a time, wavelet, and Fourier-based method of Markov parameter extraction, as well as their relative accuracy in modeling the system

An educational tool to assist the design process of switched reluctance machines

The design of electric machines is a hot topic in the syllabuses of several undergraduate and graduate courses. With the development of hybrid and electrical vehicles, this subject is gaining more popularity, especially in electrical engineering courses. This paper presents a computeraided educational tool to guide engineering students in the design process of a switched reluctance machine (SRM). A step-by-step design procedure is detailed and a user guide interface (GUI) programmed in the Matlab® environment developed for this purpose is shown. This GUI has been proved a useful tool to help the students to validate the results obtained in their lecture assignments, while aiding to achieve a better understanding of the design process of electric machines. A validation of the educational tool is done by means of finite element method (FEM) simulations.Postprint (author's final draft

A Student’s Guide to Matlab for Physical Modeling

This tutorial aims to help you teach yourself enough of the Matlab programming language to get started on physical modeling, and particularly the problems appearing in Physical Models of Living Systems (Nelson, 2015). This is not an official publication of The MathWorks, Inc. We attempt to maintain it, but no claim is made that every suggestion made here will work properly with future versions of Matlab. This is a free online document. Code listings that appear in this document, errata, and more can be found online via http://www.physics.upenn.edu/biophys/PMLS/Student ; code can also be accessed by following the links that appear in the far left margins of this document. A companion to this tutorial covers similar techniques, but with the Python programming language (Kinder & Nelson, 2018)

Modeling of Respiratory System

Tato práce se zabývá simulací dýchací soustavy. Cílem studie je porozumění dýchací soustavy lidského organismu, společně s volbou vhodných algoritmů a jejich následnou implementací do matematického modelu. Modely jsou realizovány v rozhraní Simulink, které je součástí prostředí Matlab. Podobné modely jsou v praxi využívány pro výzkum lékařské techniky, především u umělé plicní ventilace. Praktické využití, zejména popsaného kombinovaného modelu v grafickém rozhraní GUIDE - rovněž implementovaného v prostředí Matlab, je vhodné pro názornou výuku a simulaci biologických procesů dýchací soustavy.This thesis is concerned with respiration system simulation. The main goal of this studies is to gain knowledge of how human respiration system works, along with selecting proper algorithms and their implementation into mathematic model. These models are realized by Simulink interface, which is part of Matlab environment. Similar models are used for medical technology research, especially for artificial ventilation of the lungs. There is a practical utilisation of these models suitable for illustration and respiration system's biological processes simulation, particularly combined model described in GUIDE graphic interface - also implemented in Matlab environment.

Users Guide for LATEXtools

Users GuideThis guide presents the LATEXtools package of Matlab routines, designed for planning and performing oceanographic cruises with a Lagrangian sampling strategy

A scientific approach to microphone placement for cymbals in live sound

Current practice regarding overhead microphone placement on drum kits at live events is largely informed by personal experience and industry-standard practice, where there seems to be a lack of scientific evidence supporting these placements. This research addresses this by first recordings from points around different cymbals which are struck by three types of drumsticks. The measurements are processed in MATLAB to produce visual representations of the auditory data. The work puts forward evidence that cymbal radiation patterns are dependent on shape, size, profile and striking method while the attack and sustain are primarily dependent on cymbal weight. Ideal overhead microphone placement diagrams are generated based on these results to give live sound engineers a quick reference guide for best practice at live events