Results 111 to 120 of about 561,044 (162)
Some of the next articles are maybe not open access.
Human Factors: The Journal of the Human Factors and Ergonomics Society, 1974
The paper briefly discusses the perception of velocity and prediction of motion as processes involved in the performance of fast-ball game skills. Two experiments utilizing a motion-prediction paradigm, in which the subject was allowed to view a moving tennis ball cross the display and disappear from view, are reported.
G J, Alderson, H T, Whiting
openaire +2 more sources
The paper briefly discusses the perception of velocity and prediction of motion as processes involved in the performance of fast-ball game skills. Two experiments utilizing a motion-prediction paradigm, in which the subject was allowed to view a moving tennis ball cross the display and disappear from view, are reported.
G J, Alderson, H T, Whiting
openaire +2 more sources
ICASSP '77. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
A new method to achieve a reduction in the number of poles of the linear predictive filter is described. This method is called double linear prediction since the method consists of solving consecutively two sets of autocorrelative normal equations, where the second set is derived from the first.
M. Berouti, D. Childers
openaire +1 more source
A new method to achieve a reduction in the number of poles of the linear predictive filter is described. This method is called double linear prediction since the method consists of solving consecutively two sets of autocorrelative normal equations, where the second set is derived from the first.
M. Berouti, D. Childers
openaire +1 more source
IIR-Based Pure Linear Prediction
IEEE Transactions on Speech and Audio Processing, 2004This paper considers general, pure linear prediction schemes, where the prediction of the input signal is based on IIR-filtered versions of the one-sample-delayed input signal. Properties of these schemes are discussed, in particular, the whitening property and the realization and stability of the synthesis filter.
Brinker, den, A.C. +2 more
openaire +2 more sources
Graph linear prediction results in smaller error than standard linear prediction
2015 23rd European Signal Processing Conference (EUSIPCO), 2015Linear prediction is a popular strategy employed in the analysis and representation of signals. In this paper, we propose a new linear prediction approach by considering the standard linear prediction in the context of graph signal processing, which has gained significant attention recently. We view the signal to be defined on the nodes of a graph with
Aran Venkitaraman +2 more
openaire +1 more source
1984
If one approximates the vocal tract as a series of fixed length tubes (which is equivalent to representing it as an all-pole digital filter) it becomes possible to predict successive samples of the speech wave as linear combinations of previous samples. The coefficients in the linear combination characterize the shape of the vocal tract.
Alan Bundy, Lincoln Wallen
openaire +1 more source
If one approximates the vocal tract as a series of fixed length tubes (which is equivalent to representing it as an all-pole digital filter) it becomes possible to predict successive samples of the speech wave as linear combinations of previous samples. The coefficients in the linear combination characterize the shape of the vocal tract.
Alan Bundy, Lincoln Wallen
openaire +1 more source
Piecewise linear quantization of linear prediction coefficients
The Journal of the Acoustical Society of America, 1976We present a new coefficient-coding method of linear predictive coding (LPC) of speech. It employs piecewise linear quantization and requires statistical properties of the LPC reflection coefficient {ki}. In coding the coefficients we first construct histograms of the distribution of each coefficient values obtained from analysis of many different ...
C. K. Un, S. C. Yang
openaire +1 more source
IEEE Potentials, 1988
The basic principles of linear predictive coding (LPC) are presented. Least-squares methods for obtaining the LPC coefficients characterizing the all-pole filter are described. Computational factors, instantaneous updating, and spectral estimation are discussed. >
openaire +1 more source
The basic principles of linear predictive coding (LPC) are presented. Least-squares methods for obtaining the LPC coefficients characterizing the all-pole filter are described. Computational factors, instantaneous updating, and spectral estimation are discussed. >
openaire +1 more source
1996
Linear prediction modelling is used in a diverse area of applications such as data forecasting, speech recognition, low bit rate coding, model-based spectral analysis, interpolation, signal restoration etc. In statistical literature, linear prediction models are referred to as autoregressive (AR) processes.
openaire +1 more source
Linear prediction modelling is used in a diverse area of applications such as data forecasting, speech recognition, low bit rate coding, model-based spectral analysis, interpolation, signal restoration etc. In statistical literature, linear prediction models are referred to as autoregressive (AR) processes.
openaire +1 more source
Simultaneous Linear Prediction
Psychometrika, 1966Given a set of items (predictors) suppose one wishes to predict another set of items (predictands) in asimultaneous way. Such a situation may occur when the predictands are different measurable aspects of the same phenomenon. Alternatively one might wish to predict the success of an event (say a successfully performed task) which has many correlated or
openaire +2 more sources