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相关概念视频

Time-Series Graph00:54

Time-Series Graph

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A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
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Discrete-Time Fourier Series01:20

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The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
For a discrete-time periodic signal x[n]...
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Basic Continuous Time Signals01:22

Basic Continuous Time Signals

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Basic continuous-time signals include the unit step function, unit impulse function, and unit ramp function, collectively referred to as singularity functions. Singularity functions are characterized by discontinuities or discontinuous derivatives.
The unit step function, denoted u(t), is zero for negative time values and one for positive time values, exhibiting a discontinuity at t=0. This function often represents abrupt changes, such as the step voltage introduced when turning a car's...
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BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

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System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
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Relative Frequency Histogram01:14

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The relative frequency depicts the proportion of data points that have each value. The frequency tells the number of data points that have each value. Like the histogram, a relative frequency histogram also has the same shape with a horizontal scale (the x-axis), but the vertical scale (the y-axis) is marked with relative frequencies (percentages of the whole) instead of actual frequencies. A relative frequency histogram is a graphical representation of a frequency distribution where the...
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Multiple Bar Graph01:07

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As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
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相关实验视频

Updated: Jul 27, 2025

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
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另一种使用CBOR模板 (YACTS) 的紧时间序列数据表示.

Sebastian Molina Araque1, Ivan Martinez2, Georgios Z Papadopoulos1

  • 1IMT Atlantique Campus Rennes, SRCD, IRISA, 35510 Brest, France.

Sensors (Basel, Switzerland)
|June 10, 2023
PubMed
概括
此摘要是机器生成的。

本研究引入了使用简洁二进制对象表示 (CBOR) 的物联网 (IoT) 时间序列数据的新数据格式. 这种新型格式显著减少了数据传输大小,并延长了物联网设备的电池寿命.

关键词:
在ASN.1中,使用的是ASN.中央银行银行 (CBOR) 是一个.物联网 (IoT) 的物联网 (IoT) 的物联网.在JSON中,我们可以使用JSON.它们是原始的,原始的.时间序列 (TS)互操作性互操作性互操作性的互操作性

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科学领域:

  • 计算机科学 计算机科学
  • 电气工程 电气工程
  • 数据科学数据科学数据科学

背景情况:

  • 物联网 (IoT) 正在迅速扩展,导致设备的大量部署.
  • 对于物联网信息系统,特别是时间序列 (TS) 数据,互操作性挑战仍然存在.
  • 现有的TS数据格式缺乏对受约束物联网设备的标准化和高效处理.

研究的目的:

  • 引入基于CBOR的物联网新型标准化TS数据格式.
  • 解决互操作性问题,提高受约束物联网设备的效率.
  • 为了减少数据传输大小和延长设备电池寿命.

主要方法:

  • 开发了一个新的TS数据格式,利用CBOR的紧性与值,标签和模板.
  • 引入精细化,结构化元数据,以增强测量信息.
  • 使用简洁的数据定义语言 (CDDL) 来验证CBOR结构.
  • 进行了详细的性能评估,将新格式与JSON,CBOR,ASN.1和协议缓冲区进行了比较.

主要成果:

  • 与JSON相比,数据大小减少了88%-94%,与CBOR/ASN.1相比,数据大小减少了82%-91%,与协议缓冲器相比,数据大小减少了60%-88%.
  • 在低功耗宽带网络 (LPWAN) 上,空中时间减少了84%-94%.
  • 与CBOR相比,电池寿命延长了12倍,与协议缓冲器/ASN.1相比,电池寿命延长了9-16倍.
  • 拟议的元数据仅为整体数据传输增加了0.5%.

结论:

  • 拟议的基于CBOR的TS格式提供了紧的表示,大大减少了数据传输.
  • 该格式有效地延长物联网设备的电池寿命,并改善整体设备寿命.
  • 该方法可以适应不同类型的数据,并无地集成到现有的物联网系统中.