There are a number of methods of simulating ultrasonic guided wave propagation in COMSOL (v6.1) which I will discuss in
A few years ago I came across the wonderful @geospatialist on twitter, and I was blown away by his vintage
This is a relatively shameless copy of the wonderful Helen McKenzie tutorial on how to produce “joy plot” style maps,
When I started a PhD one of my supervisors encouraged me to try using LaTeX, and despite it seeming daunting
2D-FFT can be a really powerful tool in identifying the propagation of different Lamb wave modes in a signal. The process was pioneered by Alleyne and Cawley (1990), and has since been used for a wide range of applications. In this post I will explain how 2D-FFT can be implemented in MATLAB, and how the results can be compared against dispersion curves.
The following post gives a brief summary of a research paper submitted to Reproduced Sound 2018 primarily written by Ludovico Ausiello, with contributions from Lawrence Yule, Giacomo Squicciarini, and Chris Barlow.
A system for performing fast, accurate and objective assessment of the time-frequency response of guitar soundboards has been developed, using an application of the sine-sweep method commonly used to retrieve impulse responses of acoustic spaces or electro-acoustic devices.
Welcome to RM707, the newly configured spatial audio lab at Solent university! The loudspeaker installation here allows us to pan sounds around in full surround sound, using a system known as ambisonics. One of the major drawbacks to traditional surround sound formats (5.1, 7.1 etc.) is that they’re channel based, meaning that the loudspeakers have to orientated in a particular way (to ITU spec), and when mixing audio around there are a very limited number of positions to work with. Ambisonics allows us to decode audio to any loudspeaker configuration, including loudspeakers positioned at different heights, as well as being able to pan sounds to positions in space rather than just to particular channels.
Disclaimer: This guide is written for Windows users however all tools are also available for Mac and Linux.
Presenting data in an aesthetically pleasing way can be difficult, there are many different tools available for creating graphs and plots but many of the best are challenging to learn, expensive, or both. This post will show you a way of using the free R programming language along with the graphing service Plotly to create high quality plots, specifically when dealing with audio data.
Below you will find examples for plotting: Short audio clips (~1s) Time domain plot short.r Audio 0.8s.wav Long audio clips