sampling theory


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sampling theory

[′sam·pliŋ ‚thē·ə·rē]
(statistics)
The mathematical study of sampling techniques.
References in periodicals archive ?
Chapters discuss different types of signals and waveforms, radio systems, digital transmitters, digital receivers, sampling theory fundamentals, functions useful for mitigating problems such as channel mismatch, and much more.
They address signals and waveforms, various radio systems, and digital transmitters and receivers, then original concepts and innovative approaches in digitization and reconstruction, in relation to sampling theory, realization of sampling and interpolation in digital radios, and improving resolution and quantization.
This protocol will be rooted in a novel sound field sampling theory which exploits the spatial sparsity of sound sources by invoking the compressed sensing paradigm.thirdly, Novel signal processing algorithms capable of handling spatiotemporal sound fields will be designed.
In this study we performed analyses to investigate the distribution of sample sizes to determine ages across multiple species by using methods derived from sampling theory and simulation testing of stock assessment models.
OCTOBER 10-14, 2016: Sampling Theory, Sampling Practices, and Their Economic Impact Course.
Sampling theory when the sampling units are of unequal sizes".
Furthermore, Professor Saitoh was able to clearly give an ultimate sampling theory and realizations of general reproducing kernel Hilbert spaces.
For CS, it is a new sampling theory, which breaks out of the Nyquist sampling theory.
Students should have some basic knowledge of Fourier transform techniques, probability theory, random processes, sampling theory, linear filtering, vector spaces, matrix algebra, and linear transformations.
The processing uses technology based on classical sampling theory.
Rohit Trivedi, will cover introduction to research and problem formulation, research process and research design, sampling theory, hypothesis formulation and testing techniques, non-parametric and parametric test, multivariate analysis, data mining and business intelligence, use of SPSS and AMO in data analysis.