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在前端模拟信号通道上使用ΔΣ转换器INA128来改善信噪比的
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2009-06-06
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Sensing small signals is a challenge in process control
environments where the sensors used to capture temperature,
pressure, and other environmental information produce
low level signals. These signals can easily be masked by the
ambient noise in the physical vicinity of the measurement,
placing tough requirements on the electronics in the remainder
of the signal path. If a high level of accuracy is required
in these data acquisition systems, the effective signal fullscale
range must be decreased making the signal-to-noise
ratio (SNR) higher. Several techniques, in the digital domain
as well as analog domain, can be used to improve the signalto-
noise ratio of the sensing system.
environments where the sensors used to capture temperature,
pressure, and other environmental information produce
low level signals. These signals can easily be masked by the
ambient noise in the physical vicinity of the measurement,
placing tough requirements on the electronics in the remainder
of the signal path. If a high level of accuracy is required
in these data acquisition systems, the effective signal fullscale
range must be decreased making the signal-to-noise
ratio (SNR) higher. Several techniques, in the digital domain
as well as analog domain, can be used to improve the signalto-
noise ratio of the sensing system.
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