—We address the problem of distributed source coding of binary sources with side information at the decoder. We propose a compression scheme using irregular turbo codes. We optim...
David Van Renterghem, Xavier Jaspar, Benoit M. Mac...
Compressed sensing is a technique to sample compressible signals below the Nyquist rate, whilst still allowing near optimal reconstruction of the signal. In this paper we present ...
Evaluating a query can involve manipulation of large volumes of temporary data. When the volume of data becomes too great, activities such as joins and sorting must use disk, and ...
Background: With the rapid emergence of RNA databases and newly identified non-coding RNAs, an efficient compression algorithm for RNA sequence and structural information is neede...
Qi Liu, Yu Yang, Chun Chen, Jiajun Bu, Yin Zhang, ...
Abstract. Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the rece...