This course teaches computer programming to those with little to no previous experience. It uses the programming system and language called MATLAB to do so because it is easy to learn, versatile and very useful for engineers and other professionals. MATLAB is a special-purpose language that is an excellent choice for writing moderate-size programs that solve problems involving the manipulation of numbers. The design of the language makes it possible to write a powerful program in a few lines. The problems may be relatively complex, while the MATLAB programs that solve them are relatively simple: relative, that is, to the equivalent program written in a general-purpose language, such as C++ or Java. As a result, MATLAB is being used in a wide variety of domains from the natural sciences, through all disciplines of engineering, to finance, and beyond, and it is heavily used in industry. Hence, a solid background in MATLAB is an indispensable skill in today’s job market.
About this Course
The drawback to using Matlab is the specific syntax you will have to learn prior to being able to operate the software efficiently. The purpose of this tutorial is to introduce you to the basics of Matlab and give you the skills you will need to complete the homework in this class. MatLab Plot Tutorial. Tutorial and help on plotting 2d and 3d graphs in MatLab. Created by University of West Virginia. MatLab Advanced Tutorials. MatLab Programming. A good resource on how to program in MatLab. Debugging.m Files. A quick and easy tutorial on how to debug matlab.m files. Created by MIT. Learning MATLAB'. Check out these best online MATLAB courses and tutorials recommended by the programming community. Pick the tutorial as per your learning style: video tutorials or a book. Free course or paid. Tutorials for beginners or advanced learners. Check MATLAB community's reviews &. MATLAB is a high-level language and interactive environment that enables you to perform computationally intensive tasks faster than with traditional programming languages such as C, C, and Fortran.
FreeMat is a free environment for rapid engineering and scientific prototyping and data processing. It is similar to commercial systems such as MATLAB from Mathworks, and IDL from Research Systems, but is Open Source. Learn to Code with MATLAB is an online, interactive tutorial that teaches students in primary and secondary schools the basics of programming using MATLAB. In the tutorial, students will solve the problem of finding the closest meet-up location on a map by creating an algorithm. They'll learn how to work with variables, functions, and vectors.
Syllabus - What you will learn from this courseThe MATLAB EnvironmentMatrices and Operators
The basic unit with which we work in MATLAB is the matrix. We solve problems by manipulating matrices, and operators are the primary means by which we manipulate them. We will learn how to define matrices, extract parts of them and combine them to form new matrices. We will learn how to use operators to add, subtract, multiply, and divide matrices, and we will learn that there are several different types of multiplication and division. Finally, we will learn MATLAB’s rules for determining the order in which operators are carried out when more than one of them appear in the same expression.
Functions
Functions let us break up complex problems into smaller, more manageable parts. We will learn how functions let us create reusable software components that can be applied in many different programs. We will learn how the environment inside a function is separated from the outside via a well defined interface through which it communicates with that outside world. We will learn how to define a function to allow input to it when it initiates its execution and output from it when it is done.
Programmer's Toolbox
MATLAB has useful built-in functions and we will explore many of them in this section. We will learn about polymorphism and how MATLAB exploits it to change a function's behavior on the basis of the number and type of its inputs. Because random numbers play an important role in computer programming, we will learn how to use the MATLAB random number generator. We will learn how to get input from the keyboard, how to print to the Command Window, and how to plot graphs in a Figure window. Finally, we will learn how to find programming errors with the help of the debugger.
Selection
Selection is the means by which MATLAB makes decisions about the order in which it executes its statements. We will learn how to use the if-statement, which is the most important method of selection. We will learn how to use relational operators and logical operators. We will learn how to write polymorphic functions and how to make functions resistant to error.
Loops
Loops give computers their power. We will learn how to use both of MATLAB's loop constructs: the for-loop and the while-loop. We will learn how the break-statement works, and we will use nested loops. We will learn how to make loops more efficient. We will learn about logical indexing and will see how to use it to produce implicit loops that are efficient and easy for a user to understand.
Data Types
Computers operate on bits, but humans think in terms of numbers, words, and other types of data. Like any good language, MATLAB organizes bits into convenient data types. We will study those types in this section. We will learn that there are ten types of numbers and that there are conversion functions to change one type into another. We will learn much more about strings and how the characters in them are encoded as numbers. We will learn how to produce heterogeneous collections of data via structs and cells, and we will learn how to store points in time and time durations.
File Input/OutputMatlab Download
Files are named areas in permanent memory for storing data that can be used as input or output to MATLAB and to other programs. We will be introduced to MATLAB’s most important methods for reading and writing files. We will learn how to create, read from, and write into MAT-files, Excel files, text files, and binary files. We will learn how to navigate among folders with MATLAB commands.
Welcome to the Matlab on Windows tutorial. This tutorial will give you the ability to log or stream data from a MetaSensor to Matlab.
9.1. Prerequsites¶
You are required to have access to Matlab with a current license for this tutorial. Typically, your school or university will have Matlab available to you for free. You can purchase and download Matlab here: https://www.mathworks.com/products/matlab.html
You should also be familiar with the MetaBase App for Windows. If you have not downloaded our free App yet, please refer to this section of the tutorial: https://mbientlab.com/tutorials/MetaBaseApp.html
Please note that our tutorial has only been tested on Windows 10 and Matlab R2018a.
Warning
Matlab does not support Bluetooth Low Energy and this tutorial provides a work around to send MetaSensor data to Matlab.
Follow the steps at: https://www.mathworks.com/help/install/introduction-to-installation-licensing-and-activation.html.
9.2. Log Temperature Data¶
Using the Windows MetaBase App, the MetaSensors is configured to log sensor data.
Please refer to the MetaBase section of the tutorial if you need additional help.
In this example, temperature on the MetaSensor was logged for a few minutes.
As per our MetaBase on Windows tutorial, the resulting data is available in your Downloads Folder as a .csv file:
Because the Matlab csv reader function
csvread does not handle text very well, I removed the first two columns from the csv file with the epoch and timestamp data types using Excel. Only the time elapsed column will be used.
The following commands are used to read the csv file into Matlab:
As you can see, we read the csv file into the Data variable and we skip the first row because it is only text.The data is separated into the two columns: col1 is the time in seconds and col2 is the temperature data in degrees.
Finally the data is plotted:
9.3. Stream Gyroscope Data¶
Our streaming examples use Python to send data through the Bluetooth link to the Windows PC and then pipe data to Matlab using a socket.
You are expected to have at least a basic understanding of Python as a language. You can go to the Python for Windows portion of the tutorial to learn more.
Download the examples from our Github: https://github.com/mbientlab/MetaWear-Tutorial-Matlab
You can clone the repository or simply download it. The Tutorial repository includes two python scripts (.py files) and two Matlab scripts (.m files).
We will first use the
echo_gyro_server.py python script to stream MetaSensors gyroscope data live from the Bluetooth dongle on a Windows PC via a TCP socket into Matlab.
First Python needs to setup the socket and get the MetaSensor ready. On the command line, type:
This Python script will open up a TCP socket on port 50007 of your local machine (Windows PC) and the script will wait until there is a response on the socket from Matlab.
Open up the
real_time_gyro_data_stream_plotting.m file in Matlab.
Hit the RUN button or type this into the command line of Matlab:
The python script can now continue because the socket is open. The script configures the MetaSensors to stream accelerometer x,y,z data at 50Hz with the range set at 125dps:
The gyroscope x,y,z data is available in the callback in Matlab and stored in FIFOs (asynchronous buffers).
When the Matlab script ends, the x,y,z gyroscope data is graphed using the
plot command:
9.4. Stream Accelerometer Data¶
Now we will use the
echo_acc_server.py python script to stream MetaSensors accelerometer data live from the Bluetooth dongle on a Windows PC via a TCP socket into Matlab.
First Python needs to setup the socket and get the MetaSensor ready. On the command line, type:
This Python script will open up a TCP socket on port 50007 of your local machine (Windows PC) and the script will wait until there is a response on the socket from Matlab.
Open up the
real_time_acc_data_stream_plotting.m file in Matlab.
Hit the RUN button or type this into the command line of Matlab:
The python script can now continue because the socket is open. The script configures the MetaSensors to stream accelerometer x,y,z data at 100Hz with the range set at 2Gs.
The accelerometer x,y,z data is ploted live (in real-time) in the callback in Matlab:
9.5. Stream Sensor Fusion Data¶
We will now use the
echo_quat_server.py python script to stream MetaSensors Euler angles (roll, pitch, yaw) live from the Bluetooth dongle on a Windows PC via a TCP socket into Matlab.
First Python needs to setup the socket and get the MetaSensor ready. On the command line, type:
This Python script will open up a TCP socket on port 50007 of your local machine (Windows PC) and the script will wait until there is a response on the socket from Matlab.
Open up the
real_time_quat_data_stream_plotting.m file in Matlab.
Hit the RUN button or type this into the command line of Matlab:
The Python script can now continue because the socket is open. The script configures the MetaSensors to stream accelerometer roll, pitch, yaw data (in degrees) at 100Hz:
The sensor fusion data is available in the callback and ploted live in 3D.
As you move your MetaSensor around, you should see the sphere move in 3D on the plot as well.
We encourage you to play with this example and change the axes as needed.
Matlab Courses Online Free
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We envision a world where, in any urban environment:Dozens of open networks are available at your fingertips.Tablets, watches, and other new devices can automatically join these networks to do nifty things.The societal expectation is one of sharing, and, as a result, wireless Internet is more efficient.The false notion that an IP address could be used as a sole identifier is finally a thing of the past, creating a privacy-enhancing norm of shared networks.In its current iteration, the group is focused on incremental steps toward its sweeping goals. Under its Open Wireless Router project, participants are developing router firmware that the group describes as “.” They’re creating what’s essentially software to enable consumers to share a portion of their network for public use, regardless of whether the manufacturer actually built in a guest network option or not. The firmware is also aimed at making the network faster and more secure.While the project seems esoteric, it has the potential to solve a lot of the problems with Wi-Fi sharing. Xfinity wifi hacker. The Open Wireless Movement’s website for truly free and open Wi-Fi access:Imagine a future with ubiquitous open Internet.
Matlab can be slow and you may see delays when plotting/graphing data live.
Matlab Commands
If you look at the scripts, you will notice that you can uncomment a few specific lines and stream quaternion data instead of Euler angles. Feel free to give it a try.
9.6. Next steps¶
Go and build your own Matlab and Python script!
Matlab Learning Free Course
We welcome pull requests on our Matlab Tutorial Github Repository: https://github.com/mbientlab/MetaWear-Tutorial-Matlab
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