نتایج جستجو برای: signal prediction

تعداد نتایج: 660726  

2013
Yuan Zhang Yibo Li Yuan Zhan

Prestressed Concrete Cylinder Pipe (PCCP) is a widely used water pipe all over the world. A major cause of PCCP failure is the internal wire break, which will emit acoustic signal. In this paper, a hydrophone-based PCCP real-time monitoring and failure-prediction system was proposed. By applying wavelet energy normalization analysis to signal feature extraction and Support Vector Machine (SVM) ...

2009
Mostafa Naghizadeh

We propose an algorithm to compute time and space variant prediction filters for signal-to-noise ratio enhancement. Prediction filtering for seismic signal enhancement is, in general, implemented via filters that are estimated from the inversion of a system of equations in the t− x or f − x domain. In addition, prediction error filters are applied in small windows where the data can be modeled ...

2007
K. Sri Rama Murty Bayya Yegnanarayana S. Guruprasad

This paper proposes a method for detection of voiced regions from speech signals collected in noisy environment. The proposed method is based on the characteristics of excitation source of speech production. The degraded speech signal is processed by linear prediction analysis for deriving the linear prediction residual. Hilbert envelope of the linear prediction residual is processed using cova...

Differential base station sometimes is not capable of sending correction information for minutes, due to radio interference or loss of signals. To overcome the degradation caused by the loss of Differential Global Positioning System (DGPS) Pseudo-Range Correction (PRC), predictions of PRC is possible. In this paper, the Support Vector Machine (SVM) and Genetic Algorithms (GAs) will be incorpor...

1999
Dale H. Mugler Yan Wu Stuart Clary

This paper describes methods of computation of prediction coefficients for bandpass signals which provide highly accurate predictions from past samples of a signal based on the sampling rate, the bandwidth, and the center frequency of the signal. Two methods are described, one based on solving a matrix system and another on eigenvectors related to and extending the Discrete Prolate Spheroidal S...

Epilepsy is a chronic disorder of brain function caused by abnormal and excessive electrical neurons discharge in the brain. Seizures cause disturbances in consciousness that occur without prior notice, so their prediction ability, based on EEG data, can reduce stress and improve quality of life. An epileptic patient EEG data consists of five parts: Ictal, Inter-Ictal, pre-Ictal, Post-Ictal, an...

Journal: :EURASIP J. Adv. Sig. Proc. 2004
Trevor W. Fox Alex Carreira

It has been observed that the protein-coding regions of DNA sequences exhibit period-three behaviour, which can be exploited to predict the location of coding regions within genes. Previously, discrete Fourier transform (DFT) and digital filter-based methods have been used for the identification of coding regions. However, these methods do not significantly suppress the noncoding regions in the...

2012
Premnath Dhanaraj Jannet vennila James Patrick Gomez Michael Indiraleka Muthiah

There is a growing interest in Biological investigation to determine the location of proteins, to identify new potentially accessible drug targets. Signal peptide directs the transport of the protein to its location. Bacterial OMPs are essential for their survival in the host organism. SIGLOCPRED a signal peptide predictor for the bacterial proteins as well as OMP prediction has been developed....

2004
Soon Heung Chang

This paper describes the feasibility study of an artificial neural network for signal prediction. The purpose of signal prediction is to estimate the value of undetected next time step signal. As the prediction method, based on the idea of auto regression, a few previous signals are inputs to the artificial neural network and the signal value of next time step is estimated with the outputs of t...

Journal: :Current opinion in neurobiology 2017
Wolfram Schultz Wiliam R Stauffer Armin Lak

The phasic dopamine reward prediction error response is a major brain signal underlying learning, approach and decision making. This dopamine response consists of two components that reflect, initially, stimulus detection from physical impact and, subsequenttly, reward valuation; dopamine activations by punishers reflect physical impact rather than aversiveness. The dopamine reward signal is di...

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