User:Bertrik Sikken
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User info Bertrik Sikken | |
---|---|
Name | Bertrik Sikken |
Nick | bertrik |
Tagline | heb ik niet |
You can reach me at bertrik@sikken.nl or bertrik@gmail.com
Studied Electrical Engineering at Twente University.
Main interests:
- reverse-engineering things (USB stuff, mp3 players), working on http://rockbox.org
- studying bats and making electronics for recording/listening to bat sounds
- radio stuff, in particular software-defined radio
Projects I work(ed) on (refresh):
Project ideas for 2016:
- Understand LoRa modulation a bit better, ultimate goal is to create an SDR algorithm to decode LoRa without the need for dedicated LoRa hardware. This could be useful when tracking HABs transmitting LoRa for example. See DecodingLora
- play with the Cypress PSOC5 platform, which combines a ARM Cortex-m3 processor with configurable analog blocks. I'm thinking of combining it with a 24 GHz doppler radar sensor, to process the signal and present it as a USB audio device (stereo signal contains I and Q parts).
New project ideas:
- Create a 'HabAlert' android app, see HabAlertApp
- add opus audio codec support to squeezeboxserver and/or squeezelite
- an opus web radio stream already seems to be redirected to the client, but squeezelite crashes on it
- create code for remote control of my ZwaaiLicht
- implement wireless protocol for the NOMZ message ("\x4NOMZ") on address 0x66996699L (no ack)
- possibly implement a more capable protocol on a different pipe (with ack, learn about extra pipes on NRF24L01+)
- possibly split control of the light and the motor
- Experiment with an ESP8266 serial-wifi module, WiFiBat project plan:
- attach an ESP8266 to a migrating bat/cat/hedge-hog/etc and program it to record a list of wifi APs every day, so the location over time can be determined from the AP-list (use Mozilla geolocation service to convert from AP-list to location), main challenge: keep weight and power consumption low.
- Create better algorithm for detecting heartbeat using this optical heart beat sensor: sample the analog signal at 100 Hz and do an autocorrelation to get a continuous estimate of the heart rate.