Studying the Ionospheric Radio Signals Propagation Using Python and SDR. I will show, how using an SDR receiver and 50 lines of Python code, it is possible to visualize radio stations signals with <0.01 Hertz accuracy and observe some interesting atmospheric effects.
Readers who were born at the 70s or earlier, and had medium-, long- or shortwave receivers at home, probably remember that stations of different wavelengths propagate differently at different times of the day. But how does it really work?
I will show, how using an SDR receiver and 50 lines of Python code, it is possible to visualize radio stations signals with <0.01 Hertz accuracy and observe some interesting atmospheric effects.
Most AM radio stations are broadcasting 24h per day, which allows us to analyse the radio signals they transmit. To do this, we will record the radio signal in WAV format and plot its spectrum using FFT (Fast Fourier Transform). FFT makes it possible to obtain an image in the frequency domain from a signal in the time domain, in other words, to get a spectrum of the signal. The larger the FFT window, the more frequency resolution we can get.
As we know, the signals of AM stations on the air look like this:
The actual broadcast content is not interesting to us (is anyone still listening to the radio nowadays?), but the AM carrier — the centre of the signal, is important. It is a good marker by which it is convenient to monitor the signal on the spectrum.
Become a data analysis expert using the R programming language in this [data science](https://360digitmg.com/usa/data-science-using-python-and-r-programming-in-dallas "data science") certification training in Dallas, TX. You will master data...
Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.
The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.
Need a data set to practice with? Data Science Dojo has created an archive of 32 data sets for you to use to practice and improve your skills as a data scientist.
A data scientist/analyst in the making needs to format and clean data before being able to perform any kind of exploratory data analysis.