Getting Help There are three sources of help beyond the user manual, of course.
Matlab code implementation Summary and disclaimer The Matlab files on this page provide an implementation of the image-source method ISM described in  for the purpose of simulating reverberant audio data in small-room acoustics.
Please refer to  for more detailed information on this ISM implementation. General information can also be found in the Background section of this web site. The next section below provides a typical example of how to use the different Matlab functions provided on this page.
Note that these files can also be downloaded from the MathWorks website. Please don't hesitate to contact me if you find any bug or if you have interesting suggestions to make. And of course, an acknowledgement to  will also be deeply appreciated if you happen to publish results obtained with the help of the code provided on this page.
You can refer to each function's Matlab help section for detailed usage information, but in short, the basic process is as follows.
Create a setup file for the simulation, e. This process can take quite a while depending on the number of RIRs to compute, size of the room, reverberation time, etc. This function also offers the possibility to write the resulting audio into a. The resulting audio data is a matrix where each column contains the signal generated for the corresponding microphone.
The following samples of audio data were generated using the above commands for a source moving along a circle trajectory around a couple of microphones, in a 4m x 5m x 2. These are stereo signals, with each channel containing the signal recorded by one microphone, so try listening to them with headphones.
An assessment of the accuracy of this RT prediction method can be found in [1,2], and is also demonstrated here for a range of simulation environments room sizes, absorption coefficient ratios, etc. Download all the files below in a. These include parameters such as the sampling frequency, room dimensions, desired reverberation time T60 or T20positions of the acoustic sensor or an array of themlocation of a sound source or a series of trajectory points for a sound source moving across the environmentetc.
This implementation generates fractional delays for each image source. This Matlab function was specifically optimised for execution speed by only considering the image sources relevant to the final transfer function, so the computation time will be as minimal as possible.
An example RIR obtained with this implementation can be found on this page Fig.I have recently been looking into how to make very advanced and beautiful GUIs in Matlab. The issue with this is that in Matlab, GUIs seem to be somehow limited compared to other languages.
zyBooks Loading. Awk, C#, C++, E, merd, PHP5, Python, Ruby, Tcl, Vimscript, YCP == Python == /= Haskell == \= Oz == \== Classic REXX, Prolog = /= Ada =!= Maple, XPath.
In most computer programming languages, a while loop is a control flow statement that allows code to be executed repeatedly based on a given Boolean condition. The while loop can be thought of as a repeating if statement.
The Matlab functions provided in the table below make it very easy and straightforward to generate samples of reverberant audio data for a source moving across a . This page organizes my posts for beginners and advanced users.
If you follow the chosen order, you should gradually get a good understanding of how Matlab works and what you can do with it.