Ali, Yousef S. Ettomi Parsa, Vijay Doyle, Phillip Berkane, Soulaimane
Published in
International Journal of Speech Technology
Tracheoesophageal (TE) speech is generated by patients who have undergone a total laryngectomy where the larynx (voice box) is removed and replaced by a tracheoesophageal puncture. This work presents a novel low complexity algorithm to estimate the degree of severity of disordered TE speech. The proposed algorithm has two output scores which are co...
Skovranek, Tomas Despotovic, Vladimir Peric, Zoran
Linear prediction (LP) has been applied with great success in coding of one-dimensional, time-varying signals, such as speech or biomedical signals. In case of two-dimensional signal representation (e.g. images) the model can be extended by applying one-dimensional LP along two space directions (2D LP). Fractional linear prediction (FLP) is a gener...
Skovranek, Tomas Despotovic, Vladimir Peric, Zoran
Linear prediction is extensively used in modeling, compression, coding, and generation of speech signal. Various formulations of linear prediction are available, both in time and frequency domain, which start from different assumptions but result in the same solution. In this letter, we propose a novel, generalized formulation of the optimal low-or...
Li, Rui Pan, Zhibin Wang, Yang
Published in
Multimedia Tools and Applications
In this paper, a hyperspectral image compression method is proposed. It is based on spectral clustering, linear prediction and the vector quantization (VQ). Since the hyperspectral image has stronger spectral correlation than spatial correlation, the spectral clustering and model of linear prediction are introduced to reduce the spectral correlatio...
Despotovic, Vladimir Skovranek, Tomas Peric, Zoran
The one-parameter fractional linear prediction (FLP) is presented and the closed-form expressions for the evaluation of FLP coefficients are derived. Contrary to the classical first-order linear prediction (LP) that uses one previous sample and one predictor coefficient, the one-parameter FLP model is derived using the memory of two, three or four ...
Gholami, S. Mahmoudi, A. Farshidi, E.
Published in
Circuits, Systems, and Signal Processing
We propose a two-stage estimator to estimate chirp rate and initial frequency of the chirp signals in the presence of additive white Gaussian noise. In the first stage, the chirp rate estimation problem is reformulated as a single tone frequency estimation problem. Then, the frequency of single tone is estimated through a linear prediction approach...
Chen, Yuan Yang, Xiao Long Huang, Long-Ting So, Hing Cheung
Published in
Circuits, Systems, and Signal Processing
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Han, Chunling Xue, Rui Zhang, Rui Wang, Xueqing
Published in
Multimedia Tools and Applications
Steganography and Steganalysis have attracted a lot of attention in decades. Recently, voice communication has been more and more popular, which provides ways to covert communication. However, the existing audio steganalysis methods can only gain good detection accuracies when the hidden ratio is high. Besides, majority of the audio steganalysis me...
Veludandi, Vineel K. Vasudevan, K.
Published in
Wireless Personal Communications
An approach for the linear prediction-based detection of serially concatenated turbo coded differential quaternary phase shift keyed signals, is presented for SIMO-OFDM systems. The proposed method exploits the high degree of correlation in the channel frequency response, when the channel impulse response is much smaller than the FFT length. A pred...
Ying, Jinfa Delaglio, Frank Torchia, Dennis A. Bax, Ad
Published in
Journal of Biomolecular NMR
Implementation of a new algorithm, SMILE, is described for reconstruction of non-uniformly sampled two-, three- and four-dimensional NMR data, which takes advantage of the known phases of the NMR spectrum and the exponential decay of underlying time domain signals. The method is very robust with respect to the chosen sampling protocol and, in its d...