!? ''wavelet DSP transformation'' with ''STM32F4 Discovery board'' !?

[salih kanber]

Posted on April 27, 2017 at 16:23

Hello Everyone !!

I should do a 'wavelet DSP transformation' with 'STM32F4 Discovery board'.. I need to detect partial discharge (PD)  sound signals on 220V 50Hz AC line sound..  

I am new to this topic and making a lot of research for this issue..  Is it possible that anybody help me or guide me about the Wavelet DSP libraries (If there are) and codes on STM32F4 Discovery board ?

 !!!GOD Bless the ones that help me on this issue, a billion times !!!

Thank you.. 

#stm32f4-discovery #stm32f4 #dsp #sound #dwt #wavelet #analysis #sound-analysis #cwt

[AvaTar]

Posted on April 28, 2017 at 08:12

There is a DSP-Library for the STM32F4, here :

http://www.st.com/en/embedded-software/stsw-stm32065.html

 

This is a (slightly) adapted port of ARM's DSP Library. However, I think it does not cover wavelet transformations.

There are many resources related to wavelet transformation on the web, perhaps porting a PC-based of generic software/algorithm is more promising.

[salih kanber]

Posted on April 28, 2017 at 09:34

Dear Avatar, thank you for your helpful reply.

I am aware of the dsp libraries for STM32F4's and as you said they dont cover the wavelet transform. I cannot transfer the signals to a PC because I need to build a handheld device such as the 'ultratev plus'.

I am not sure if its possible to combine the functions to build the wavelet transform and analysis for Partial Discharge detection.. or else I must write down an original wavelet transform dsp function and I am not ready to do that  

Still searching for the resources but there is a quite less resources on STM32F4 & Wavelet analysis combined..

Any more opinions, resources, suggestions about this will be of great help for me !...

Best regards...

Salih

[AvaTar]

Posted on April 28, 2017 at 09:52

I cannot transfer the signals to a PC because I need to build a handheld device such as the 'ultratev plus'.

No, I meant porting a generic example code (not specifically for STM32 or Cortex M).

Pretty sure there exists example code which you can use as a starting point.

You can easily split it up into two parts. The first task is analog sampling, to get your data into the MCU.

With the signal data in RAM, the rest (the actual wavelet transformation) is hardware-agnostic. You can pull example code from anywhere, there is no real dependency to core architecture.

Do you have specific real-time requirements ?

While a Cortex M4 can do a lot, don't lose sight of available vs. required performance.

I did an example project for audio analysis (48kHz sampling frequency, 2k FFT size), requiring less than 10% of core performance for the FFT (averaged over the cycle time).