In this work, we propose theoretical and algorithmic-independent recovery conditions which guarantee the uniqueness of block sparse recovery in general dictionaries through a general mixed norm optimization problem. These conditions are derived using the proposed block uncertainty principles and block null space property, based on some newly defined characterizations of block spark, and (p, p)-...

According to the observation on the distribution of motion differentials among the motion vector of any block and those of its four neighboring blocks from six real video sequences, this paper presents a new predictive search area approach for fast block motion estimation. Employing our proposed simple predictive search area approach into the full search (FS) algorithm, our improved FS algorith...

Reputable pig breeding programmes have been very successful in reducing production costs over the last twenty years through significant genetic progress in a wide variety of traits including growth, feed conversion, reduced backfat thickness and, over the last decade, litter size and litters per sow per year [1] . However, with some notable exceptions, genetic progress in many meat and eating q...

For communication channels exhibiting fading and interference, noncoherent maximum likelihood (ML) block demodulation generally requires the knowledge of received signal strength, fading levels, and the phase offset introduced by the channel. Furthermore, ML block demodulation can be computationally prohibitive. This paper presents a sub-optimal block demodulation method based on a computationa...

A block sparse memory improved proportionate affine projection sign algorithm (BS-MIP-APSA) is proposed for block sparse system identification under impulsive noise. The new BS-MIP-APSA not only inherits the performance improvement for block-sparse system identification, but also achieves robustness to impulsive noise and the efficiency of the memory improved proportionate affine projection sig...