In particular, the appropriate way to identify sequences presents tradeoffs: unique accession numbers eliminate ambiguity for computational biologists, but make it impossible for a biologist to quickly assess the biological plausibility or implications of a result.
Thus the total computational complexity of Radon-ambiguity transform is more than.
Based on this relationship, an LFM-signal detection and chirp rate estimation method using FRFT, which has similar performance but lower computational complexity compared with Radon-ambiguity transform, is proposed in this paper.
The modulus square detector of Radon-ambiguity transform is briefly introduced in Section 3. The new detector based on FRFT is proposed and its computational complexity compared with Radon-ambiguity transform is discussed in Section 4. Section 5 gives the mathematical derivation of the generalization of the new detector.
Under the large Doppler scenario, we propose the use of a cost function based on the hit-matrix which offers a significantly lower computational complexity as compared to an ambiguity based cost function, with no loss in code performance.
In the case of large Doppler, we propose a cost function based on the hit-matrix which offers a significantly lower computational complexity as compared to an ambiguity-based cost function, with no loss in code performance.
We contend that decomposition of workloads into computational and memory parts can resolve similar ambiguity in general and is fundamental since it is apparent in the Turing Machine model of computation.
Although the complexity of the system and limitations of the computational methodology and models employed lead to ambiguity on some questions, the following conclusions can be made: 1.
This ambiguity is unavoidable because our computational approach can identify only potential candidates of miR genes.
In this paper, we study active multi-view object recognition and describe an information-theoretic framework that combines and unifies two common techniques: online feature selection for reducing computational costs and view planning for resolving ambiguities and occlusions.
