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相关概念视频

Sampling Methods: Overview01:06

Sampling Methods: Overview

379
A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of...
379
Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

274
Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
274
Sampling Plans01:23

Sampling Plans

208
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
208
Random Sampling Method01:09

Random Sampling Method

11.2K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
11.2K
Cluster Sampling Method01:20

Cluster Sampling Method

12.0K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
12.0K
Stratified Sampling Method01:16

Stratified Sampling Method

12.1K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
12.1K

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相关实验视频

Updated: Jul 19, 2025

Self-standing Electrochemical Set-up to Enrich Anode-respiring Bacteria On-site
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Self-standing Electrochemical Set-up to Enrich Anode-respiring Bacteria On-site

Published on: July 24, 2018

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采用了离网样本.

Oscar López1, Özgür Yılmaz2

  • 1Harbor Branch Oceanographic Institute, Florida Atlantic University, 5600 US 1 North, Fort Pierce, FL 34946 USA.

Sampling theory, signal processing, and data analysis
|August 10, 2023
PubMed
概括
此摘要是机器生成的。

随机偏离标准网格 (离网格采样) 显著减少了准确信号重建所需的样本数量. 这种技术还可以改善噪声降低,为信号采集和反伪造带来好处.

关键词:
这是一个反别名的反别名.压缩传感器的压缩传感器迪里克莱特内核的核心脱落样本采集 脱落样本采集不统一的采样方式亚尼奎斯特采样采样

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Dissolved Solute Sampling Across an Oxic-Anoxic Soil-Water Interface Using Microdialysis Profilers
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Unraveling the Unseen Players in the Ocean - A Field Guide to Water Chemistry and Marine Microbiology
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科学领域:

  • 信号处理 信号处理
  • 信息理论 信息理论
  • 应用数学 应用数学 应用数学

背景情况:

  • 经验研究表明,用于信号采集的离网采样有好处,包括低采样和反别名.
  • 这些采样方法的理论条件和明确优势在现有文献中没有得到充分记录.

研究的目的:

  • 提供理论见解,了解在已知采样位置的情况下,离网采样的优点.
  • 为了证明非均样本在压缩采样和噪声减弱方面的有效性.

主要方法:

  • 使用一个平方根LASSO解码器与一个插值内核进行压缩采样分析.
  • 采用最小平方问题公式来分析通过过量采样减噪.

主要成果:

  • 显示,与传统的均空间采样相比,显著减少的随机离网样本数量足以准确地重建信号.
  • 证明了随机的离网样本可以提高1 /epsilon的噪声减弱因子.

结论:

  • 离网采样提供了一种更有效的信号采集方法,需要更少的样本进行准确的重建.
  • 这种方法为信号处理中的低采样,反别名和噪声抑制提供了一个强大的框架.