SINGLE CARRIER MODULATION AND NYQUIST SAMPLING THEORY

2019 ◽  
pp. 45-100
Keyword(s):  
Sampling Theory ◽  
Single Carrier

Sampling Theory

2009 ◽  
Author(s):  
Yonina C. Eldar
Keyword(s):  
Sampling Theory

Capacity-Fairness Controllable Scheduling Algorithms for Single-Carrier FDMA

2014 ◽  
Vol E97.B (7) ◽  
pp. 1474-1482 ◽  
Author(s):  
Takayoshi IWATA ◽  
Hiroyuki MIYAZAKI ◽  
Fumiyuki ADACHI
Keyword(s):  
Scheduling Algorithms ◽  
Single Carrier

Survey Site Selection Based on the Spatial Sampling Theory: A Case Study in Xiamen Island

2010 ◽  
Vol 12 (3) ◽  
pp. 358-364 ◽  
Author(s):  
Liling GAO ◽  
Xinhu LI ◽  
Cuiping WANG ◽  
Quanyi QIU ◽  
Shenghui CUI ◽  
...  
Keyword(s):  
Site Selection ◽  
Sampling Theory ◽  
Spatial Sampling

Sampling Theory

2019 ◽  
Author(s):  
David Hankin ◽  
Michael S. Mohr ◽  
Kenneth B. Newman
Keyword(s):  
Natural Resource ◽  
Adaptive Sampling ◽  
Sampling Theory ◽  
Special Importance ◽  
Unequal Probability ◽  
Multi Stage ◽  
R Programming ◽  
Multi Phase ◽  
Systematic Cluster ◽  
Parameter Values

We present a rigorous but understandable introduction to the field of sampling theory for ecologists and natural resource scientists. Sampling theory concerns itself with development of procedures for random selection of a subset of units, a sample, from a larger finite population, and with how to best use sample data to make scientifically and statistically sound inferences about the population as a whole. The inferences fall into two broad categories: (a) estimation of simple descriptive population parameters, such as means, totals, or proportions, for variables of interest, and (b) estimation of uncertainty associated with estimated parameter values. Although the targets of estimation are few and simple, estimates of means, totals, or proportions see important and often controversial uses in management of natural resources and in fundamental ecological research, but few ecologists or natural resource scientists have formal training in sampling theory. We emphasize the classical design-based approach to sampling in which variable values associated with units are regarded as fixed and uncertainty of estimation arises via various randomization strategies that may be used to select samples. In addition to covering standard topics such as simple random, systematic, cluster, unequal probability (stressing the generality of Horvitz–Thompson estimation), multi-stage, and multi-phase sampling, we also consider adaptive sampling, spatially balanced sampling, and sampling through time, three areas of special importance for ecologists and natural resource scientists. The text is directed to undergraduate seniors, graduate students, and practicing professionals. Problems emphasize application of the theory and R programming in ecological and natural resource settings.

scholarly journals Some topics in sampling theory

1937 ◽  
Vol 43 (4) ◽  
pp. 209-231 ◽  
Author(s):  
H. L. Rietz
Keyword(s):  
Sampling Theory

Single-charge transport through hybrid core–shell Au-ZnS quantum dots: a comprehensive analysis from a modified energy structure

Nanoscale ◽  
2021 ◽  
Author(s):  
Tuhin Shuvra Basu ◽  
Simon Diesch ◽  
Ryoma Hayakawa ◽  
Yutaka Wakayama ◽  
Elke Scheer
Keyword(s):  
Quantum Dots ◽  
Electronic Structure ◽  
Carrier Transport ◽  
Comprehensive Analysis ◽  
Energy Structure ◽  
Core Shell ◽  
Single Charge ◽  
Scanning Tunnelling Microscope ◽  
Single Carrier ◽  
Scanning Tunnelling

We examined the modified electronic structure and single-carrier transport of individual hybrid core–shell metal–semiconductor Au-ZnS quantum dots using a scanning tunnelling microscope.

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