Results 201 to 210 of about 1,222,244 (245)
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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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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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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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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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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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'Complementary' Signals and Orthogonalized Exponentials
IRE Transactions on Circuit Theory, 1962When a signal is approximated by a finite set of component signals which span a subspace \Phi , the least-square approximation may be interpreted geometrically in signal space as the projection of the true signal vector upon this finite dimensional subspace.
T. Young, W. Huggins
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New discrete orthogonal moments for signal analysis
Signal Processing, 2017Abstract The paper addresses some computational aspects and applications of the polynomial unbiased finite impulse response functions originally derived by Shmaliy as a new class of a one-parameter family of discrete orthogonal polynomials. We present two new explicit formulas to compute these polynomials directly.
Barmak Honarvar Shakibaei Asli +1 more
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Accelerated Signal-and-Noise Orthogonalization
IEEE Transactions on Geoscience and Remote Sensing, 2022Guangtan Huang +3 more
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Optimum orthogonal quantization of signal space (Corresp.)
IEEE Transactions on Information Theory, 1978Orthogonal quantization is a partition of signal space that is achieved by independent quantization of each of its M orthogonal axes. A closed form expression is derived for the quantized channel cutoff rate and for the optimum orthogonal quantization similar to the one that has been derived for binary signaling.
Nachum Shacham, Israel Bar-David
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Performance of Percent Gaussian Orthogonal Signaling Waveforms
2014 IEEE Military Communications Conference, 2014Recent developments of secure digital chaotic spread spectrum communication systems have been based on the generalized ideals of maximum channel capacity and maximal entropy/security, which result in a Gaussian-distributed noise like signal that is indistinguishable from naturally occurring (band limited) thermal noise.
Alan J. Michaels, Chad C. Lau
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