Speech transmission with COFDM based on different discrete transforms

Soliman, Naglaa F.; Abd-Alhalem, Samia M.; El_Rahman, Sahar A.; Fouad, Moharram; El‐Samie, Fathi E. Abd

doi:10.1007/s10772-016-9348-2

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…The following step is descrambling stage that is applied to the output of MMSE equalizer using the identical index permutation at the transmitter side to obtain the 𝜌 -th descrambled signal, 𝒒 ̃𝜌 , 𝜌 =1,2, according to: 𝑞 ̃𝜌,𝑚 (𝜋 𝜌,𝑚 ) = 𝑞𝑠 ̃𝜌,𝑚 , 𝜌 =1,2 and m=0,1,..,M-1 (17) The m-th detected of the 𝜌-th received antenna is obtained using QAM demapping and converted to stream bits to get the 𝜌-th stream bits at the j-th time, 𝑐̃𝜌 ,𝑗 , 𝜌 = 1,2. The 𝜌-th deciphered sequence, 𝑢 ̃𝜌,𝑗 is obtained by XORed 𝑐̃𝜌 ,𝑗 with the 𝜌 -th identical PRBG key at the transmitter side according to:…”

Section: Receiver Modelmentioning

confidence: 99%

Hybrid Ciphering and Frequency Domain Scrambling for Secure Speech Transmission through MIMO-OFDM System

2022

IJIES

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This paper suggests the transmission of secure speech signals through the MIMO-OFDM system over a doubly selective fading channel. The two-dimensional chaotic map like logistic (TDLM), standard (TDSM), and triangle function combination discrete chaotic map (TD-TFCDM) are used to generate pseudo-random bit generator (PRBG) and index permutation (IP) to encrypt the information based on ciphering and scrambling techniques. Different speech quality and residual intelligibility measures including log-likelihood ratio (LLR), frequency-weighted segmental signal-to-noise ratio (fwSNRseg), signal-to-noise ratio loss (SNRLOSS), correlation coefficient (CC) and spectrogram measures as well as Bit Error Rate (BER) performance are used to test the performance of the proposed security system. The simulation results show that the speech signal over the MIMO-OFDM system behaves well with high security. Also, the speech encryption system using TDSM and TD-TFCDM outperforms TDLM in most residual intelligibility measures.

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Section: Receiver Modelmentioning

confidence: 99%

Hybrid Ciphering and Frequency Domain Scrambling for Secure Speech Transmission through MIMO-OFDM System

2022

IJIES

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Voice compression using discrete cosine transform and wavelet transform

Rolon-Heredia

Garrido-Arévalo

Marulanda

2019

J. Phys.: Conf. Ser.

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Compressing information, such as voice, allows freeing up memory space, better utilizing bandwidth, in other words taking advantage of resources more efficiently in a time where technologies such as Voice over Internet Protocol are booming and the demand for information it requires higher speeds and quality. Therefore, this paper presents the acquisition and digital processing of voice signals, as well as the application of the discrete cosine transform and the wavelet transform using Matlab software version 2017b, licensed by the Technological University of Bolivar. Likewise, a criterion is established in order to eliminate little relevant information without affecting the quality of the output signal for which indicators such as the signal to noise ratio and the mean square error are calculated.

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Speech transmission with COFDM based on different discrete transforms

Cited by 2 publications

References 13 publications

Hybrid Ciphering and Frequency Domain Scrambling for Secure Speech Transmission through MIMO-OFDM System

Hybrid Ciphering and Frequency Domain Scrambling for Secure Speech Transmission through MIMO-OFDM System

Voice compression using discrete cosine transform and wavelet transform

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