scholarly journals Wide-Band Audio Coding Based on Frequency-Domain Linear Prediction

2010 ◽  
Vol 2010 (1) ◽  
pp. 856280 ◽  
Author(s):  
Petr Motlicek ◽  
Sriram Ganapathy ◽  
Hynek Hermansky ◽  
Harinath Garudadri
2010 ◽  
Vol 2010 ◽  
pp. 1-14
Author(s):  
Petr Motlicek ◽  
Sriram Ganapathy ◽  
Hynek Hermansky ◽  
Harinath Garudadri

Author(s):  
Takehiro Moriya ◽  
Ryosuke Sugiura ◽  
Yutaka Kamamoto ◽  
Hirokazu Kameoka ◽  
Noboru Harada

This paper describes the progress in frequency-domain linear prediction coding (LPC)-based audio coding schemes. Although LPC was originally used only for time-domain speech coders, it has been applied to frequency-domain coders since the late 1980s. With the progress in associated technologies, the frequency-domain LPC-based audio coding scheme has become more promising, and it has been used in speech/audio coding standards, such as MPEG-D unified speech and audio coding and 3GPP enhanced voice services since 2010. Three of the latest investigations on the representations of LPC envelopes in frequency-domain coders are shown. These are the harmonic model, frequency-resolution warping and the Powered All-Pole Spectral Envelope, all of which are aiming at further enhancement of the coding efficiency.


An efficient bandwidth allocation and dynamic bandwidth access away from its previous limits is referred as cognitive radio (CR).The limited spectrum with inefficient usage requires the advances of dynamic spectrum access approach, where the secondary users are authorized to utilize the unused temporary licensed spectrum. For this reason it is essential to analyze the absence/presence of primary users for spectrum usage. So spectrum sensing is the main requirement and developed to sense the absence/ presence of a licensed user. This paper shows the design model of energy detection based spectrum sensing in frequency domain utilizing Binary Symmetric Channel (BSC) ,Additive white real Gaussian channel (AWGN), Rayleigh fading channel users for 16-Quadrature Amplitude Modulation(QAM) which is utilized for the wide band sensing applications at low Signal to noise Ratio(SNR) level to reduce the false error identification. The spectrum sensing techniques has least computational complexity. Simulink model for the energy detection based spectrum sensing using frequency domain in MATLAB 2014a.


ETRI Journal ◽  
2017 ◽  
Vol 39 (3) ◽  
pp. 310-318 ◽  
Author(s):  
Seungkwon Beack ◽  
Jongmo Seong ◽  
Misuk Lee ◽  
Taejin Lee

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