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Related Concept Videos

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the C=O, C=N, and C=C occur between 1600–1850 cm−1.
The...
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In signal processing, Discrete-Time Fourier Transforms (DTFTs) play a critical role in analyzing discrete-time signals in the frequency domain. Various properties of the DTFTs such as linearity, time-shifting, frequency-shifting, time reversal, conjugation, and time scaling help understand and manipulate these signals for different applications.
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The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
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The application of Fourier Transform properties in radio broadcasting is multifaceted, enabling significant advancements in the way signals are transmitted and received. Key areas where these properties are utilized include simultaneous multi-channel transmission, audio clip speed adjustments, live broadcast delays for different time zones, audio frequency adjustments, and signal demodulation.
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The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
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Collusion-resistant audio fingerprinting system in the modulated complex lapped transform domain.

Jose Juan Garcia-Hernandez1, Claudia Feregrino-Uribe, Rene Cumplido

  • 1Laboratorio de Tecnologias de Informacion, CINVESTAV-IPN, Tamaulipas, Mexico. jjuan@tamps.cinvestav.mx

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|June 14, 2013
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Summary

This study introduces a robust audio fingerprinting system to combat music piracy. The novel block-based approach effectively detects unauthorized audio copies, even from partial clips, ensuring media owner protection.

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Area of Science:

  • Digital Signal Processing
  • Information Security
  • Multimedia Forensics

Background:

  • Media piracy causes significant financial losses, particularly in the music industry.
  • Existing collusion-resistant fingerprinting systems primarily focus on digital images, with limited application to audio signals.
  • There is a need for effective audio fingerprinting solutions to address piracy challenges.

Purpose of the Study:

  • To extend state-of-the-art collusion-resistant fingerprinting concepts to audio signals.
  • To propose specific parameters and operational conditions for audio fingerprinting.
  • To develop a block-based embedding and detection method for efficient fingerprint identification in audio clips.

Main Methods:

  • Extension of existing collusion-resistant fingerprinting paradigms to audio.
  • Proposal of specific parameters and operational conditions for audio fingerprinting.
  • Development of a block-based embedding technique and a corresponding detector for partial audio clip analysis.

Main Results:

  • The proposed system demonstrates robustness against average collusion attacks.
  • Fingerprint detection is feasible using only a fraction of a pirate audio clip.
  • The system is suitable for real-world applications, leveraging efficient Fast Fourier Transform (FFT) cores and standard computing hardware.

Conclusions:

  • The developed audio fingerprinting system offers a practical solution to combat music piracy.
  • The block-based approach enhances detection efficiency and robustness against collusion.
  • The system's suitability for real-world scenarios is validated through extensive simulations.