codebook

简明释义

英[ˈkəʊdˌbʊk]美[ˈkodˌbʊk]

n. 电报密码本

英英释义

单词用法

同义词

反义词

例句

1.The larger the codebook size or the vector dimension is, the higher the computational complexity of the full-search VQ is.

码书大小和矢量维数越大，穷尽搜索矢量量化编码的计算复杂度就越高。

2.Computer simulations show that the training speed of codebook is quickened by the new design algorithm and the complexity of vector quantizer is reduced.

计算机模拟结果表明，新算法明显缩减了码本训练时间、提高了矢量量化的速度。

3.The principle and application of Event correlation Techniques are discussed in this paper by the analysis and study of the codebook correlation model.

事件相关技术是网络管理系统中的一项关键技术，本文通过对代码簿相关模型技术的分析与研究，阐述了事件相关技术的原理及应用。

4.The new algorithm, including the sorting codebook design and the remains coding, greatly improves the objective level and the subjective visual impression.

新算法采用分类码书设计和残留编码，大大提高了图像的客观指标和主观视觉效果。

5.They are to transcode between standards with the same and the different fixed codebook structure, respectively.

它们分别针对具有相同和不同固定码本结构的语音编码标准进行转码。

6.The image can be partitioned to foreground and background according to the background codebook, and in the meanwhile codebook is updated correspondingly.

最后通过判断当前的像素值是否可以划归于背景码书以区分背景点和前景点，同时做相应的更新。

7.First, the algorithm is used to design the codebook of the speech coding parameters.

首先，采用改进的模拟退火算法设计语音编码参数矢量量化码本。

8.The codebook includes all variables and their corresponding codes.

这本代码手册包含所有变量及其对应的代码。

9.Researchers often update the codebook as new variables are added to the study.

研究人员通常会在研究中添加新变量时更新代码手册。

10.The researcher referred to the codebook for data coding guidelines.

研究人员参考了代码手册以获取数据编码指南。

11.In social science studies, a well-defined codebook is essential for accurate data analysis.

在社会科学研究中，一个明确定义的代码手册对于准确的数据分析至关重要。

12.Before starting the survey, we created a codebook to standardize responses.

在开始调查之前，我们创建了一本代码手册来标准化回答。

作文

In the field of research and data analysis, the term codebook refers to a document that provides a detailed description of the variables in a dataset. It serves as a guide to understanding the structure of the data, including information on how each variable is measured, what values it can take, and any coding schemes used. The importance of a codebook cannot be overstated, as it ensures that researchers and analysts can accurately interpret the data they are working with. Without a comprehensive codebook, one risks misinterpreting the results or drawing incorrect conclusions based on incomplete or misunderstood information.For example, consider a survey conducted to assess public opinion on environmental issues. The data collected may include various demographic variables such as age, gender, income level, and education. Each of these variables would have specific codes assigned to them in the codebook. For instance, age might be categorized into ranges (e.g., 18-24, 25-34, etc.), and each range would be represented by a numerical code in the codebook. Similarly, gender could be coded as 1 for male and 2 for female. This systematic approach allows researchers to analyze the data efficiently and draw meaningful insights.Moreover, a well-structured codebook enhances the reproducibility of research findings. When other researchers want to replicate a study or build upon its findings, having access to the codebook enables them to understand the original data collection methods and variable definitions. This transparency is crucial for validating research and promoting trust in scientific findings.In addition to aiding in data interpretation and reproducibility, a codebook also plays a vital role in data management. During the data cleaning process, researchers often encounter inconsistencies or errors in the dataset. With a clear codebook, they can identify the correct coding for each variable and rectify any discrepancies. For instance, if a respondent accidentally selected multiple options for a question that was meant to have only one answer, the codebook would help clarify which response should be prioritized or how to handle such cases.Furthermore, a codebook is not only useful for quantitative data but also for qualitative research. In qualitative studies, where open-ended responses are common, the codebook can outline themes or categories that researchers have identified during the analysis phase. This categorization helps in organizing the data and facilitates easier comparison and contrast between different responses.In conclusion, the codebook is an essential tool in research and data analysis, serving multiple purposes from guiding data interpretation to ensuring reproducibility and aiding in data management. Its significance lies in its ability to provide clarity and structure to datasets, ultimately contributing to the integrity and reliability of research findings. Therefore, researchers must invest time in creating comprehensive and user-friendly codebooks to enhance the quality of their work and facilitate collaboration within the academic community.

在研究和数据分析领域，术语codebook指的是一个提供数据集中变量详细描述的文档。它作为理解数据结构的指南，包括每个变量如何测量、可以取什么值以及使用的任何编码方案的信息。codebook的重要性不容小觑，因为它确保研究人员和分析师能够准确解释他们正在处理的数据。如果没有全面的codebook，人们就有可能误解结果或基于不完整或误解的信息得出错误的结论。例如，考虑进行的一项调查，以评估公众对环境问题的看法。收集的数据可能包括各种人口统计变量，如年龄、性别、收入水平和教育程度。这些变量中的每一个在codebook中都有特定的代码。例如，年龄可能被分类为范围（例如，18-24岁，25-34岁等），每个范围将在codebook中用数字代码表示。类似地，性别可以编码为男性为1，女性为2。这种系统化的方法使研究人员能够高效地分析数据并得出有意义的见解。此外，结构良好的codebook增强了研究发现的可重复性。当其他研究人员希望复制一项研究或在其发现的基础上进行进一步研究时，获取codebook可以使他们理解原始数据收集方法和变量定义。这种透明度对于验证研究和促进对科学发现的信任至关重要。除了帮助数据解释和可重复性外，codebook在数据管理中也发挥着重要作用。在数据清理过程中，研究人员经常会遇到数据集中的不一致或错误。通过清晰的codebook，他们可以识别每个变量的正确编码，并纠正任何差异。例如，如果受访者意外选择了一个本应只有一个答案的问题的多个选项，codebook将帮助澄清应优先考虑哪个响应或如何处理这种情况。此外，codebook不仅对定量数据有用，而且对定性研究也很重要。在定性研究中，当开放式回答很常见时，codebook可以概述研究人员在分析阶段识别的主题或类别。这种分类有助于组织数据，并促进不同响应之间的更容易比较和对比。总之，codebook是研究和数据分析中不可或缺的工具，具有多重用途，从指导数据解释到确保可重复性，再到帮助数据管理。其重要性在于能够为数据集提供清晰和结构，最终有助于研究发现的完整性和可靠性。因此，研究人员必须投入时间创建全面且用户友好的codebook，以提高其工作的质量，并促进学术界内部的合作。