  Frequency Shift Keying (FSK) modulation is widely utilized in various
communication systems for data transmission due to its simplicity and
robustness. In this paper, we present a Python-centric approach for
demodulating FSK signals and extracting bit strings in Software Defined Radio
(SDR) systems. Leveraging the flexibility and power of Python programming
language along with SDR platforms, we explore the intricacies of FSK
demodulation techniques and efficient bit string extraction methods. Our
approach focuses on real-time processing capabilities, enabling rapid decoding
of FSK signals with minimal latency. We discuss the implementation details,
performance considerations, and optimization strategies, highlighting the
advantages and challenges of utilizing Python in SDR applications. Furthermore,
we demonstrate the effectiveness of our approach through experimental results
and comparisons with existing methods. This paper serves as a comprehensive
guide for researchers and practitioners interested in implementing FSK
demodulation and bit string extraction algorithms using Python within the
context of SDR systems.
