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Complex-valued minimum variance distortionless response (MVDR) beamforming for wideband signals has very high computational amount.
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Such high filter orders entail a high computational complexity which amounts to roughly MAC operations per sample.
The integration of cognitive capabilities in computer vision systems requires both to enable high semantic expressiveness and to deal with high computational costs as large amounts of data are involved in the analysis.
However, the search speed and the distortion performance often conflict with each other in these methods, and their high computational complexity incurs a large amount of memory access.
Identifying the examples neighboring the query point/time may require a possible large amount of memory and high computational costs.
However, considering the large amount of data (381,186 cattle), it was not possible to directly perform a hierarchical ascendant clustering (HAC), which requires access to computers with extremely high computational and storage capacity, on the principal coordinates provided by MFA.
A microarray can produce a massive amount of data and require high computational power for data analysis.
As will be motivated, medical decision support agents can impose high computational load and in practical setups a large amount of such agents are typically running in parallel.
On the other hand, the treatment of large amount of data to compute the appropriate control inputs implies high computational costs.
Because the algorithm proposed in [9] and the proposed algorithm with (12) use a large amount of memory and take a high computational cost, they cannot be applied to a whole image of the test images.
To analyse such a huge amount of data is time consuming and has a high computational complexity.
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