Why do we sample a signal?
To convert a signal from continuous time to discrete time, a process called sampling is used. The value of the signal is measured at certain intervals in time. If the signal contains high frequency components, we will need to sample at a higher rate to avoid losing information that is in the signal.
What is a signal sampling theorem?
The sampling theorem essentially says that a signal has to be sampled at least with twice the frequency of the original signal. Since signals and their respective speed can be easier expressed by frequencies, most explanations of artifacts are based on their representation in the frequency domain.
How many times does a signal need to be sampled?
Formation of a 1D image therefore requires only a single excitation, followed by a sampling period. A frequency-encoding, or readout, gradient is applied during the signal sampling period. If N voxels are to be resolved along the single dimension, the signal must be sampled at least N times during the sampling period.
How is signal sampling data transferred to a router?
The signal sampling device is constituted of accelerometers mounted on several points on the case, sensor cables, and an intellectual monitoring unit (iMU) of WindCon placed on the nacelle. The sampling data is transferred to a CDMA Wireless Router by iMU through the Ethernet.
How to understand the concept of signal sampling?
In order to understand the concept of signal sampling, we consider a continuous-time signal x ( t) and a pulse train signal δ T ( t), defined in Eq. (13.1). The multiplication of these two signals results in the discrete-time form of the x ( t) signal. Fig. 13.1 shows this multiplication process and the obtained result. We have Figure 13.1.
What is the difference between sampling and downsampling?
Terminology: sampling – creating a discrete signal from a continuous process. downsampling (decimation) – subsampling a discrete signal upsampling – introducing zeros between samples to create a longer signal aliasing – when sampling or downsampling, two signals have same sampled representation but differ between sample locations.