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相关概念视频

Frequency-dependent Selection01:21

Frequency-dependent Selection

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When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
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Upsampling01:22

Upsampling

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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
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Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
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Downsampling01:20

Downsampling

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When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
126
Design Example01:23

Design Example

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The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
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Dose-Response Relationship: Selectivity and Specificity01:25

Dose-Response Relationship: Selectivity and Specificity

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Drugs exert their therapeutic effects by interacting with receptors, enzymes, or ion channels that are present throughout the human body. The strength and duration of the interaction between a drug and its target receptor are characterized by the selectivity and specificity of the drug. Selectivity refers to a drug's strong preference for its intended target over other targets. For instance, isoprenaline, a non-selective β-adrenergic agonist, interacts with both β1- and...
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相关实验视频

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Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
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多用户MIMO下载链接预编码与动态用户选择为有限的反.

Mikhail Bakulin1, Taoufik Ben Rejeb1, Vitaly Kreyndelin1

  • 1Radio and Television Department, Moscow Technical University of Communications and Informatics (MTUCI), Moscow 111024, Russia.

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概括

本研究介绍了多用户,多输入多输出 (MU-MIMO) 系统的新型下行链接预编码方法. 它通过传输新的,无关联的通道状态信息 (CSI) 而不会增加反开销,从而提高服务用户数量,从而提高了准确性.

关键词:
B5G 是一个B5G.这就是MU-MIMO.下行链接预编码有限的反,有限的反.这是一个巨大的MIMO.量子化预编码 量子化预编码用户选择用户选择

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科学领域:

  • 无线通信系统无线通信系统
  • 信号处理 信号处理
  • 信息理论 信息理论

背景情况:

  • 现代的无线系统 (5G,B5G) 使用大规模的MIMO用于与多个移动站通信的多个天线的基站.
  • 组织下行链路多用户 (MU) 模式需要在基站 (BS) 进行预编码,需要为每个移动站提供准确的通道状态信息 (CSI).
  • 大规模MIMO系统中的有限反往往导致不准确的CSI,造成干扰并减少活跃用户的数量.

研究的目的:

  • 为 MU-MIMO 系统提出一种新的下行链接预编码方法,通过使用代码本来提高 CSI 准确性.
  • 为了应对大规模MIMO系统中有限的反空头的挑战.
  • 增强在动态用户选择场景中服务的活跃用户数量.

主要方法:

  • 开发了一种用于MU-MIMO系统的新型预编码方法,使用代码本来减少反.
  • 引入了在每个反周期中传输新的,无关联的信息,以更准确地积累CSI.
  • 提出了一种全面的方法,共同优化预编码,代码库设计,CSI估计和反传输.

主要成果:

  • 拟议的方法可以实现更高的CSI准确性,而不会增加反开销.
  • 证明服务的活跃用户数量有所增加,在动态用户选择系统中尤其有效.
  • 统计模拟证实了当前和未来大规模MIMO系统的有希望的性能.

结论:

  • 新的预编码和CSI积累方法有效地减轻干扰并增强系统容量.
  • 这种方法为大规模MIMO系统中CSI反的挑战提供了有希望的解决方案.
  • 预编码,CSI估计和反策略的联合优化对于高效的MU-MIMO操作至关重要.