Results 261 to 270 of about 5,499,886 (333)

On orthogonal signal correction

Chemometrics and Intelligent Laboratory Systems, 2000
Abstract A new algorithm for orthogonal signal correction is presented, compared with existing algorithms, and illustrated on an example from near infrared spectroscopy. Given a matrix X of spectral or other high dimensional data and a vector or matrix Y of concentrations or other reference measurements on the same samples, orthogonal signal ...
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Orthogonal Model Division Multiple Access

IEEE Transactions on Wireless Communications
Multiple access technologies are critical technologies in every communication era. As a promising paradigm for next-generation mobile communication, semantic communication has explored new semantic information space resources. Based on the characteristic
Haotai Liang, Kaijun Liu, Xiaoyi Liu, Hongchao Jiang, Chen Dong, Xiaodong Xu, Kai Niu, Ping Zhang   +7 more
semanticscholar   +1 more source

Wavelet Orthogonal Signal Correction-Based Discriminant Analysis

Analytical Chemistry, 2009
We report the use of wavelet orthogonal signal correction (WOSC) for multivariate classification. This new classification tool combines a wavelet prism decomposition of a spectral response and orthogonal signal correction to significantly improve the classification performance, reducing both classification errors and model complexity. Two spectroscopic
Wangdong, Ni, Steven D, Brown, Ruilin, Man   +2 more
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Orthogonal Signal Correction for Voltammetry

Electroanalysis, 2010
AbstractThe paper presents orthogonal signal correction (OSC) as a useful algorithm to remove undesired signals distortions, connected with the application of solid electrodes in voltammetry which currently replace toxic mercury sensors due to metal toxicity.
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Optimal robust signaling with pseudonoise-modulated orthogonal signals

IEEE Transactions on Information Theory, 1994
Summary: It is well known that orthogonal signal sets approach the channel capacity and reliability function of the infinite bandwidth additive white Gaussian noise channel. In this note, it is shown that pseudonoise- modulated orthogonal signals play a similar role for the infinite bandwidth Gaussian arbitrarily varying channel.
Thomas, Tony G., Hughes, Brian L.
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Orthogonal Wavelets Analysis of Electroanalytical Signals

Analytical Letters, 2000
ABSTRACT A signal processing technique based on orthogonal wavelet analysis is applied to process various simulated electroanalytical signals. The results indicate that if the scale parameters are selected, the orthogonal wavelet processing method (OWPM) can remove high-frequency noise.
Xiaoquan Lu, Jinyuan Mo, Chi Yang, Jingwan Kang, Jinzhang Gao   +4 more
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Signal identification of block orthogonal modulations

2010 IEEE Radio and Wireless Symposium (RWS), 2010
In this paper, a modulation identification method of block orthogonal modulations is proposed. The identification method is based on General Orthogonal Modulations( GOM), whose modulation parameters should be estimated. Basis vectors are obtained from received signals, and are used to estimate the parameter of GOM.
Takahiro Yamamoto, Ikuo Oka, Shingo Ata
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Signal identification based on orthogonal transform

1995 International Conference on Acoustics, Speech, and Signal Processing, 2002
A new approach to the identification of a constant amplitude signal with frequency/phase modulation is investigated. The authors model the incoming signal phase as a linear combination of a set of orthogonal vectors and use the significant coefficients as features for identification.
K.C. Ho, A.E. Scheidl, R.J. Inkol
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Orthogonal signaling over fast fading channels

2005 International Symposium on Intelligent Signal Processing and Communication Systems, 2005
This paper analyzes the performance of a system consisting of a central base transmitter transmitting to a group of mobiles with on-off orthogonal modulation over a fast fading channel. Because the channel is changing across the symbol interval, inter-code interference appears at the output of each user's matched filter.
T. Brown, null Hao Bi, M.M. Wang
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Orthogonal subspace decomposition of periodic signals

Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020), 2003
The detection and estimation of machine vibration multiperiodic signals of unknown frequencies in white Gaussian noise is investigated. New estimates for the subsignals (signals making up the received signal) and their periods are derived using an orthogonal subspace decomposition approach.
D.D. Muresan, T.W. Parks
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