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Allahabad Mathematical Society

Founded in 1958 • Prayagraj (Allahabad), India

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Indian Journal of Mathematics
Indian Journal of Mathematics

Mathematical Transform Technique Through the Sound Waves

Author(s): Gajanan Dhanorkar , Shrikant Jakkewad , Rugved Thakur

Vol. 68, No. 1 (2026)  • pp. 69–85
Published 15-10-2026
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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