Results 261 to 270 of about 97,280 (308)
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Adaptive orthogonalization of opponent-color signals
Biological Cybernetics, 1993This paper concerns the processing of the outputs of the two opponent-color mechanisms in the human visual system. We present experimental evidence that opponent-color signals interact after joint modulation even though they are essentially independent under neutral steady adaptation and after exclusive modulation of each mechanism.
Qasim Zaidi, Arthur G. Shapiro
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Optimal robust signaling with pseudonoise-modulated orthogonal signals
IEEE Transactions on Information Theory, 1994Summary: 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.
Tony G. Thomas, Brian L. Hughes
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2021
In this chapter we learn about orthogonal signal decomposition into a sum of weighted orthogonal functions (decomposition basis) like in Fourier series analysis. The decomposition weights are found by orthogonal transformation of signal samples, i.e. by multiplying them by rectangular orthogonal matrix having complex-conjugated decomposition functions ...
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In this chapter we learn about orthogonal signal decomposition into a sum of weighted orthogonal functions (decomposition basis) like in Fourier series analysis. The decomposition weights are found by orthogonal transformation of signal samples, i.e. by multiplying them by rectangular orthogonal matrix having complex-conjugated decomposition functions ...
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M-ary orthogonal signaling in the presence of Doppler
IEEE Transactions on Communications, 1993The performance degradation of an M-ary orthogonal keying (MOK) system due to relative motion between its transmitter and receiver can be minimized by selecting good signaling sets. A formulation for evaluating good signaling sets, or code sets, is developed for Walsh function data modulations.
Alan L. Kachelmyer, Keith W. Forsythe
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On orthogonal signal correction
Chemometrics and Intelligent Laboratory Systems, 2000Abstract 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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A note on the orthogonality of MSK signals
1993 IEEE South African Symposium on Communications and Signal Processing, 2002Minimum shift keying (MSK) got is name from its description as the coherent FSK scheme with the "the minimum frequency spacing which allows the two FSK signals to be coherently orthogonal". This notion is not well defined in the literature. MSK signals are not strictly orthogonal over any bit interval for all frequencies, as a simple calculation shows.
J.A. Schoonees, R.M. Braun
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Wavelet orthogonal signal correction
Journal of Chemometrics, 2005AbstractIn this paper a novel signal‐preprocessing technique that combines the local and multiscale properties of the wavelet prism with the global filtering capability of orthogonal signal correction (OSC) is presented for the pretreatment of spectroscopic data. In this hybrid method, referred to as wavelet OSC (WOSC), a separate OSC filter is applied
Robert N. Feudale +4 more
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Piecewise orthogonal signal correction
Chemometrics and Intelligent Laboratory Systems, 2002Abstract A novel signal-processing method that performs orthogonal signal correction (OSC) in a piecewise manner, namely piecewise OSC (POSC), is developed and applied to two near-infrared (NIR) data sets of multivariate calibration. Partial least squares (PLS) regression models were constructed for the POSC-corrected spectra, and the results were ...
Robert N Feudale +2 more
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Improved Piecewise Orthogonal Signal Correction Algorithm
Applied Spectroscopy, 2003Piecewise orthogonal signal correction (POSC), an algorithm that performs local orthogonal filtering, was recently developed to process spectral signals. POSC was shown to improve partial least-squares regression models over models built with conventional OSC.
Robert N, Feudale +2 more
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The Journal of the Acoustical Society of America, 2006
A least-squares approach was used to construct near-orthogonal signals that can be useful in sonar applications. For the matched-filter case the solution can be written with Lagrange multiplier terms, which reduces to a simple eigenvector problem. Decoding filters are also examined, and these results are compared to the matched-filter case.
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A least-squares approach was used to construct near-orthogonal signals that can be useful in sonar applications. For the matched-filter case the solution can be written with Lagrange multiplier terms, which reduces to a simple eigenvector problem. Decoding filters are also examined, and these results are compared to the matched-filter case.
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