We thus derived its respective iterative MAP algorithm for time-varying channel with first-order Gauss-Markov fading, and tested whether or not the receiver can treat the received vector as blockwise...
Iterative process (3.13) is connected with the algorithm and rounding errors; the perturbation error does not occur. The algorithm error is easily estimated. For simplicity, the iteration is started with x(0)=g, then xk=∑l=0kBlg,x∗=∑l=0∞Blg. Hence eak=x∗−xk=∑l=k+1kBlg≤...
with Load Balancing A Survey on Iterative Mapreduce based Frequent Subgraph Mining Algorithm with Load BalancingA Survey on Iterative Mapreduce based Frequent Subgraph Mining Algorithm with Load BalancingM. SomasundaramDr. B. SrinivasanDr. R. Shanmugasundrarm...
Graph Cuts have also been used in segmentation to incorporate user interaction - a user provides seed points to the algorithm (e.g. mark some pixel as foreground, and another as background) and from this the segmentation is calculated. Wang et al. (2018) propose BIFSeg, an interactive segm...
Map algorithmMemory savingsTurbo codes are one of the most powerful error correcting codes. What makes these codes so powerful is the use of the so-called iterative decoding or turbo decoding. An iterative decoding process is an iterative learning process for a complex system where the objective ...
It involves an iterative algorithm developed for minimizing a physically motivated ‘energy’ measure, in the frequency domain, of the ARMA approximation of an AR representation of the target spectrum. The iterative algorithm can be used to adjust, for better spectral matching, the parameters of ...
meliloti has a great promotion effect on the production of PN, with a titer of 68.14 mg/L, representing a 6.74-fold increase compared with the native gene (Fig. 4d). As this may be related to the stability of the protein, we plotted the stability map (Supplementary Fig. 7) of ...
TheIteratortype, which is a subtype ofIterable, is a special algorithm-basedIterablenot backed by a concrete data type. When asked to produce a value, anIteratorproduces the next value from its input, and then either yields a transformation of this value, or takes its input and yields each...
The TDIP is an improvement to an already accurate speckle tracking algorithm called the phase coupled (PC) method. The PC method projects the intersection of gradients on the correlation map to the zero phase contour to estimate displacement. The TDIP method performs iterative projections and uses...
Since we assumed that all models were equally important a priori, our algorithm sampled each model type within its bounds. To achieved a non-informative prior as much as possible, each model type was sampled from a uniform distribution within its bounds. Models were then randomly drawn from eac...