Bayesian Sequential Track Formation

This paper presents a theoretical framework for track building in multiple-target scenarios from the Bayesian point of view. It is assumed that the number of targets is fixed and known. We propose two optimal methods for building tracks sequentially. The first one uses the labelling of the current multitarget state estimate that minimizes the mean-square labeled optimal subpatternassignment error. This method requires knowledge of the posterior density of the vector-valued state. The second assigns the labeling that maximizes the probability that the current multi-targetstate estimate is optimally linked with the available tracks at the previous time step. In this case, we only require knowledge of the random finite-set posterior density without labels

Occurrence of spontaneous tetraploid nucellar mango plants

A putative polyploid seedling tree appeared among the polyembryonic mango (Mangifera indica L.) ‘Gomera-1’, widely used as a rootstock in the Canary Islands. Initially detected because of its wider and more coriaceous leaves, further studies showed that fruit from this seedling are considerably larger than normal, although all other fruit characteristics (including polyembryony) were similar to those of standard ‘Gomera-1’ (G-1) fruit. The progeny of this plant has, to date, proved to be morphologically identical to the mother plant. Studies of seedlings from normal G-1 trees growing in the same orchard showed that 10% of the plants had morphological characteristics similar to those of the putative polyploid seedling. Flow cytometry and chromosome count analyses confirmed that G-1 is diploid, whereas the putative polyploid is a stable tetraploid. The study also showed that the morphologically abnormal seedlings from diploid parent trees were spontaneous tetraploids

Efficient Memoryless Cordic for FFT Computation

A new memoryless CORDIC algorithm for the FFT computation is proposed in this paper. This approach calculates the direction of the micro-rotations from the control counter of the FFT, so the area of the rotator hardly depends on the number of rotations, which is particularly suitable for the computation of FFTs of a high number of points. Moreover, the new CORDIC presents other advantages such as the simplification of the basic CORDIC processor used to calculate the micro-rotations, or an easy way to compensate the intrinsic gain of the CORDIC algorithm. Additionally, the VLSI implementation of the algorithm is a pipeline architecture with high performance in terms of speed, throughput and latency

Sequential multiple target detection using particle filters

We create and compare three sequential hypothesis tests for multiple target detection using particle filters. The algorithm with best performance assigns a variable number of particles to each hypothesis according to the posterior probabilities to optimise computational resources. Besides, the posterior probabilities of the hypotheses are calculated in a robust way regarding sample degeneracy. © 2011 IEEE