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The authors investigate the effects of imperfect removal of self-information on the system performance.
On the other hand, noise, fading and delay tainted quantized-CIRs based preprocessing results in noticeable performance degradation due to imperfect removal of IAI.
We have used analysis and computer simulation to evaluate how the imperfect removal of self-information influences the achievable BER and throughput.
This is due to the fact that ICSI results in perturbation in the eigenvalues contributing to imperfect removal of CCI and MSI in the context of both DL and UL transmissions. Figure 13 shows the impact of power control (PC) on the MUTP-aided MIMO system for both the DL and UL transmissions.
2. In case the structure is repaired (case 3 in Fig. 1 ), imperfect removal is considered (i.e. another crack may initiate and grow at the same location).
In case the structure is repaired (case 3 in Fig. 1), imperfect removal is considered (i.e. another crack may initiate and grow at the same location).
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Of course, imperfect fault removal provides more realistic explanation for this type of software faults.
However, we have not seen any research incorporate fault-dependent detection and imperfect fault removal based on our knowledge.
Why do we need to address imperfect fault removal and fault-dependent detection in the software development process?
Therefore, it is plausible to incorporate imperfect fault removal into software reliability modeling for consideration in the long run.
In light of the proficiency of the programmer, software faults classification, and programming complexity, we consider software fault-dependent detection and imperfect fault removal process.
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