RED PITAYA – An All-in-One Oscilloscope, Function Generator, Spectrum & Frequency Analyser

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 [stextbox id=”info” caption=”Standard Applications/Functionalities”]

Oscilloscope – 2 channels @ 125 MS/s 14 bit digital with external or signal based triggering capability
Spectrum Analyser – 2 channels with 50 MHz bandwidth signal with waterfall diagram capability
Arbitrary Waveform Generator – 2 channels @ 125 MHz 14 bit arbitrary waveform generation with external triggering capability
Frequency Response Analyser – 2 channels with 60 MHz bandwidth

The web interface enables access to Red Pitaya’s functionality from th

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[/stextbox]e majority of browsers. Applications are available on iPhone, iPad, other smartphones, tablets and PCs.

Software Functionalities, Programming
Red Pitaya can be customised for specific applications above its standard specification. It is based on GNU/Linux operating system and can be customised at different programming levels. Available software interfaces include:
– HDL
– C/C++
– Scripting languages
– Matlab
– HTML based web interfaces

Red Pitaya Target Audience

ELECTRONICS ENTHUSIASTS. Red Pitaya is a great springboard for electronics enthusiasts, because it offers great user interface and can be easily reconfigured for any kind of interaction with outside world by simply modifying the available applications. Out-of-the-box applications, such as oscilloscope or spectrum analyzer, enable fast debugging of electronic projects

STUDENTS. The learning process is simplified by Red Pitaya Backyard containing all the application’s source code. Students can start programming by applying incremental changes to the code and publish their work in Bazaar and easily get in touch with a wide range of technologies and knowledge. It is also very appropriate for PhD or other research projects

TEACHERS & PROFESSORS. Red Pitaya is a compact replacement for several expensive instruments and also a universal teaching tool. It enables learning of WEB and embedded application programming, FPGA, signal processing, machine vision applications and it can be controlled by Matlab as well.