Mathematical Transform Technique Through the Sound Waves
Author(s):
Gajanan Dhanorkar
Gajanan Dhanorkar
Department of Mathematics
University of Mumbai
Rayat Shikshan Sanstha’s Karmaveer Bhaurao Patil
College Vashi,
Navi Mumbai
India.
gdhanorkar@mail.com
0000-0002-8577-1562
,
Shrikant Jakkewad
Shrikant Jakkewad
Department of Mathematics
University of Mumbai
Rayat Shikshan Sanstha’s Karmaveer Bhaurao Patil
College Vashi,
Navi Mumbai
India.
shrikantjakkewad171991@gmail.com
,
Rugved Thakur
Rugved Thakur
Department of Mathematics
University of Mumbai
Rayat Shikshan Sanstha’s Karmaveer Bhaurao Patil
College Vashi,
Navi Mumbai
India.
rugvedt25@gmail.com
Abstract
This paper contains a encoding of input data into audio signal based transform technique to get original output. In this process data transformed into a distinct frequency using a linear mapping function. These frequencies are synthesized as discrete-time sinusoidal signals and concatenated to form an encrypted audio waveform. In decoding frequency-domain analysis through the Discrete Fourier Transform (DFT) and its computationally efficient variant, the Fast Fourier Transform (FFT). By detecting the dominant frequency present in each time segment, the original prime number and corresponding alphabetic character are accurately recovered. The proposed system integrates number theory, trigonometry, sampling theory, and harmonic analysis, providing an interdisciplinary framework suitable for cryptography education, digital signal processing demonstrations, and mathematical visualization of encryption concepts.
Keywords
String; Cryptography; Encryption; Decryption.
2020 Mathematics Subject Classification
54C30; 42A38; 65T50