Results 221 to 230 of about 162,409 (257)
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B-spline signal processing. I. Theory
IEEE Transactions on Signal Processing, 1993The use of continuous B-spline representations for signal processing applications such as interpolation, differentiation, filtering, noise reduction, and data compressions is considered. The B-spline coefficients are obtained through a linear transformation, which unlike other commonly used transforms is space invariant and can be implemented ...
Michael Unser +2 more
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Introduction to the Issue on Game Theory in Signal Processing
IEEE Journal of Selected Topics in Signal Processing, 2012The ten papers in this special issue focus on game theoretic methods in signal processing and communications research.
Eduard A. Jorswieck +4 more
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Signal Processing and Receivers: Theory
2008In this chapter, topics concerned with signal processing and noise analysis are covered in Sect.4.1. These lead to the fundamental results in Sect. 4.2 and Appendix C which are needed to understand the properties of radiometers. Specifics of actual receivers will be presented in the next chapter.
Thomas L. Wilson +2 more
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Introduction to Signal Processing Theory
2014Abstract The present chapter presents a brief overview of some key aspects of the theory of signal processing trying as much as possible to interconnect them. We start by discussing the basic concepts related to the continuous- and discrete-time signals and systems with emphasis on the latter.
Isabela F. Apolinário, Paulo S.R. Diniz
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Bridge between signal processing and information theory
Proceedings of the Fifth International Workshop on Signal Design and Its Applications in Communications, 2011Minimum mean square error (MMSE) is a common measure used in signal processing. On the other hand, mutual information is a common measure used in information theory. A connection between MMSE and mutual information has been revealed recently, which establishes an interesting MMSE-I relationship.
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Digital signal processing in theory and practice
31st Annual Frontiers in Education Conference. Impact on Engineering and Science Education. Conference Proceedings (Cat. No.01CH37193), 2002Digital signal processing (DSP) is an important and growing subject area in electrical/computer engineering (ECE), computer science and other engineering/science disciplines. It has applications in areas such as: telecommunications, consumer electronics, robotics, instrumentation, military, and automotive fields.
S.H. Mousavinezhad, I.M. Abdel-Qader
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Signal Processing and Representation Theory
2010The focus in the previous chapter was on the representation of finite groups by matrices and linear transformations (over the field of real or complex numbers). The related theory is very rich in content, and stands on its own as an area of study in mathematics.
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Theory and practice of wavelets in signal processing
International Journal of Machine Intelligence and Sensory Signal Processing, 2014The methods of Fourier, Laplace and wavelet transforms provide transfer functions and relationships between the input and the output signals in linear time invariant systems. This paper shows the equivalence among these three methods and in each case presenting an application of the appropriateness (Fourier, Laplace or wavelet) to the convolution ...
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Signal Processing at Receivers: Detection Theory
2014As an application of the statistical hypothesis testing, signal detection plays a key role in signal processing at receivers of wireless communication systems. To accept or reject a hypothesis based on observations, the hypotheses are possible statistical descriptions of observations using statistical hypothesis testing tools.
Lin Bai, Jinho Choi, Quan Yu
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Overview of Digital Signal Processing Theory
1975Abstract : An overview of the theory of digital signal processing is presented here using key portions of the applicable technical literature. This can serve either as an introduction for those who desire to pursue the subject further or as a concise summary for those for whom more detailed investigation would be impractical. The discussion begins with
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