The phrase "a significant complexity is" is correct and usable in written English.
It can be used when discussing a notable or important complexity in a particular context, such as in academic writing or technical reports.
Example: "In the study of climate change, a significant complexity is the interaction between various environmental factors."
Alternatives: "an important challenge is" or "a major issue is".
On the other hand, LDPC codes designed through the PEG algorithm have parity-check matrices without any inner structure, which may be responsible for a significant complexity when encoding and decoding are implemented in hardware.
A significant reduction of complexity is possible by noticing that it is not necessary to explicitly compute the orthogonalized dictionary.
Significant psychological complexity is required, on such views, for genuine episodic remembering.
Face perception is a function with significant complexity, which is reflected in hierarchical cognitive models.
A significant reduction of the complexity is obtained by the classification, while the near-capacity performance is slightly influenced, which is acceptable for overall consideration.
The values of PSNR and bitrate obtained with the proposed transcoder are very close to the results obtained when applying the reference transcoder (re-encoder) while a significant reduction in computational complexity is achieved (around 86% where the proposal is applied).
The results show that for a homogenous flat wall, the complexity is significant and for a wall including various smaller objects, the complexity is highly dependent on the position of the receiver with respect to the objects.
It is quite significant that the complexity is nearly independent of the CIR length when the data block length is equal to or great then the CIR length, which is the case in practical communication systems.
But in both the cases of humans and yeast, the correlation between protein complexity and the number of paralogs per gene exists when connectivity is controlled (ρ = 0.247, P = 1.15 × 10−2) for human and (ρ = −0.1775, P = 3.4 × 10−2) for yeast whereas, protein connectivity does not have any significant correlation when complexity is controlled (ρ = 0.1917, P = 7.05 × 10−2).
Solving (6) problem requires significant complexity and is difficult to analyze.
