Results 11 to 20 of about 561,044 (162)
Formant tracking is investigated in this study by using trackers based on dynamic programming (DP) and deep neural nets (DNNs). Using the DP approach, six formant estimation methods were first compared.
Dhananjaya N. Gowda +3 more
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Application of parametric modelling methods for estimating the parameters of damped sinusoidal signals [PDF]
The paper describes the results of analyses aimed at obtaining information on selected parameters of the deterministic component of a signal being the sum of two waveforms, an exponentially damped sinusoidal waveform and a stochastic waveform. Keywords:
Piotr Figoń
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Similarities and Differences Between Warped Linear Prediction and Laguerre Linear Prediction [PDF]
Linear prediction has been successfully applied in many speech and audio processing systems. This paper presents the similarities and differences between two classes of linear prediction schemes, namely, Warped Linear Prediction (WLP) and Laguerre Linear Prediction (LLP). It is shown that both systems are closely related.
Brinker, Albertus C. den +2 more
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The present work investigates the size of gear damage required for significant recognisable change in the vibration signal and presents a method to determine digital filter limits in order to emphasise the vibration behaviour in the time domain. For this
Andreas Beering, Karl-Ludwig Krieger
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This paper focuses on suppressing spectral overlap for sub-band spectral estimation, with which we can greatly decrease the computational complexity of existing spectral estimation algorithms, such as nonlinear least squares spectral analysis and non ...
Zenghui Li +3 more
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Design and Implementation of Adaptive Modulation Modem Based on Software Defined Radio(SDR) for WiMAX System [PDF]
This paper presents design and implementation of adaptivemodulation modem for WiMAX system. (BPSK, QPSK, 8QAM, 16QAM,32QAM and 64QAM) are used in this work. Software Defined Radio(SDR)is used for implementing this modem.
H. T. Ziboon, Zeinah Tariq Naif
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New tendencies in linear prediction of events [PDF]
The continuous development in the field of data science has greatly transformed big data analysis. Data is the foundation of innovation, but their value comes from the information that data experts can collect and then interpret.
Carmen ROTUNĂ +3 more
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The overground speed is a key component of running analysis. Today, most speed estimation wearable systems are based on GNSS technology. However, these devices can suffer from sparse communication with the satellites and have a high-power consumption. In
Mathieu Falbriard +2 more
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Millimeter-wave radars are widely used in automotive radars because of their all-weather and all-day operation capability. However, as more and more radar sensors are used, the possibility of mutual interference between radars increases dramatically ...
Mingye Yin, Bo Feng, Yanbing Li
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Optimal Predictive Linear Discriminants
When classifying an observation $\mathbf{z}$ which has arisen (with known prior probabilities) from one of two $p$-variate nonsingular normal populations with known parameters, the discriminant, say $U$, which minimizes the total probability of misclassification is based on the logarithm of the ratio of the densities of the two populations.
Enis, Peter, Geisser, Seymour
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