After defining the Matlab component properties, you can start writing the program (Matlab code) that simulates the electrical attenuator. More parameters can be added by using Add Parameter button. The only parameter necessary for this component is the attenuation constant, which can be defined by the Parameter0 in the User Parameters tab. The command workspace opens the Matlab workspace. Using the command open ElectricalAttenuator.m, you can open the m-file in the Matlab Editor.
How to write matlabcode in optisystem code#
In this window, first choose the code directory by cd ( c:\temp ) command. This will open the Matlab Command Window. In order to see the file structure and the m-file, go to the Matlab component properties, on the main tab, check Load Matlab box and click OK. To be able to run this program, the path for this file must be in the Matlab search path, in this example the ElectricalAttenuator.m is located at c:\temp. The Matlab program (m-file) that will simulate the attenuator is named ElectricalAttenuator and that is the command at Run command parameter field. In this case the matlab component is set to have one input port and one output port for electrical signals. 1.1 Matlab program: Based on the signal structure, an electrical attenuator is implemented using the Matlab component. Here is a short video illustrating how quick and easy it is to use the MATLAB Profiler.7 (a) (b) Figure 9: (a) Signal structure launched into the workspace, (b) Individual sample structure. In this case Binet’s Formula scales nicely with any value of in. Sometimes a deeper understanding of the problem can enable additional efficiency gains.It is a best practice to not change variable sizes in loops.Recursive functions are less efficient in MATLAB.MATLAB is fastest when operating on matrices.Most experienced MATLAB users will quickly agree that: MATLAB Profiler shows which algorithm took the longest, and dive into each file to see coding suggestions and which line is the most computationally expensive. There is plenty to be said about each of the implementations, but what is interesting is how MATLAB Profiler is used to understand which implementation takes the longest and where the bottleneck is. Out = k(3) Using Binet’s Formula function out = myFib4(in) % For loop: Only storing the last 2 values of the Fibonacci Sequence Out = k(end) Only storing the last 2 values of the Fibonacci Sequence function out = myFib3(in)
% For Loop: Increasing memory in each iteration Increasing memory in each iteration function out = myFib2(in)
Now that there is a benchmark, the question becomes: Is there a better way to implement calculating the Fibonacci Sequence, leveraging MATLAB strengths? Here are 3 other implementations: This Flame Graph shows that the same function was called 109 times. So let’s start with using the MATLAB Profiler on myFib1(10) by clicking the Run and Time button under the Editor Tab in R2020a. This article will only use the MATLAB Profiler as it changed its look and feel in R2020a with Flame Graph.
How to write matlabcode in optisystem software#
People with a strong software background will write Unit Tests and use the Performance Testing Framework that MathWorks provides. More proficient users will probably use the MATLAB Profiler. Most people will start with tic, toc command. The natural question is: what is a good method to iteratively try different algorithms and test their performance. The MATLAB code for a recursive implementation of finding the nth Fibonacci number in MATLAB looks like this: function out = myFib1(in)Īt first glance this looks elegant and works nicely until a large value of in is used. In Computer Science the Fibonacci Sequence is typically used to teach the power of recursive functions.
This article will help speed up that learning curve, with a simple example of calculating the nth number in a Fibonacci Sequence. This article will focus on MATLAB Profiler as a tool to help improve MATLAB code.Īs people improve their MATLAB skills they also develop a methodology and a deeper understanding of MATLAB to write better code. This is great for researchers, but as algorithms become more complex it can lead to a misconception that MATLAB is slow. One of the reasons why people use MATLAB is that it enables users to express and try out ideas very quickly, without worrying too much about programming.
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