Time-stamping and Discretising Audio Signals into Raw Data

In summary, the conversation discusses using a laser and modified microphone to log the RPM of a scaled wind turbine. The signal is recorded using Audacity and the goal is to convert it into an array of time-stamps and signal strengths. The possibility of exporting the data into a csv format and the use of an ADC and uC are also mentioned. The conversation ends with a request for advice on the ADC/computer interface.
  • #1
scottyheist
3
0
I'm logging the RPM of a scaled wind turbine using a laser and modified microphone (with a photocell instead of a coil).

The signal is recorded using Audacity and is a series of troughs separated by the time it takes for one blade to pass through the beam (please see attached image below).

Is there a way to convert this signal into an array of time-stamps and signal strengths (0.0 to 1.0)?

I aim to eventually have a time vs. instantaneous RPM plot.
 

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  • #2
Does Audacity support exporting your data into a csv style or similar format? What is the worst case value you might expect for RPM?

Are you able to interface to some signal conditioning circuit and then a uC? Maybe you want to leave the uC out of the picture and do some low level programming and interface your signal conditioning circuit to a port (serial/parallel) via an ADC?
 
  • #3
Thanks for your response. We're now pursuing your method.

Would you have any advice on the ADC/computer interface?
 

1. What is time-stamping and discretising audio signals into raw data?

Time-stamping and discretising audio signals into raw data is the process of converting an analog audio signal into digital data by assigning a specific time value to each sample of the signal and then discretising it into a numerical code. This allows for precise recording and analysis of audio signals.

2. Why is time-stamping and discretising audio signals important?

Time-stamping and discretising audio signals is important because it allows for accurate and precise measurement and analysis of audio signals. It also allows for easier storage, transfer, and manipulation of audio data.

3. How is time-stamping and discretising audio signals done?

Time-stamping and discretising audio signals is typically done through the use of a digital audio converter (DAC), which takes an analog audio signal and converts it into a series of binary numbers. These numbers are then assigned a specific time value, creating a time-stamped and discretised digital audio signal.

4. What are the benefits of time-stamping and discretising audio signals?

There are several benefits to time-stamping and discretising audio signals, including improved accuracy, easier data storage and transfer, and the ability to manipulate the data for various purposes, such as filtering and analysis.

5. Are there any limitations to time-stamping and discretising audio signals?

One limitation of time-stamping and discretising audio signals is that it can introduce some degree of error or distortion in the digital signal. Additionally, the accuracy of the time-stamping and discretising process can be affected by external factors such as noise and interference.

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