How to: interface with GQRX and filter signal (basic)

Interfacing with Gqrx from Python to remove dirty noise can be achieved using the following approach:
Steps:
Enable Gqrx Remote Control:
Open Gqrx and navigate to Tools -> Options -> Remote Control.
Enable the TCP server and note the port number (default is 7356).
Use a Python Library for TCP Communication:
You can use the socket library in Python to establish a TCP connection with Gqrx.
Send Commands to Gqrx:
Gqrx supports a set of remote control commands that can be sent over the TCP connection.
You can find the list of commands in the Gqrx documentation.
Implement Noise Reduction in Python:
You can use libraries like scipy.signal or numpy to implement noise reduction algorithms in Python.
Example Code (Conceptual):
Python


import socket

# Establish TCP connection with Gqrx
HOST = '127.0.0.1'  # Localhost
PORT = 7356  # Default Gqrx remote control port
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect((HOST, PORT))

# Send commands to Gqrx to retrieve audio data
s.sendall(b'get audio\n')
audio_data = s.recv(1024)

# Process audio data in Python to remove noise (e.g., using scipy.signal)
# ...

# Send commands to Gqrx to adjust settings based on noise reduction results
# ...

s.close()
Important Considerations:
Noise Reduction Algorithm:
The choice of noise reduction algorithm will depend on the nature of the noise you are trying to remove.
Real-time Processing:
If you want to remove noise in real-time, you'll need to efficiently process the audio data as it is received from Gqrx.
Gqrx Remote Control Documentation:
Refer to the Gqrx documentation for a comprehensive list of remote control commands.