Now showing items 1-10 of 10

    • 3D model compression using connectivity-guided adaptive lifting transform 

      Köse K.; Çetin, A. E.; Güdükbay U.; Onural, L. (2007)
      Two compression frameworks that are based on a Set Partitioning In Hierarchical Trees (SPIHT) and JPEG2000 methods are proposed. The 3D mesh is first transformed to 2D images on a regular grid structure. Then, this image-like ...
    • Access pattern-based code compression for memory-constrained systems 

      Ozturk, O.; Kandemir, M.; Chen, G. (Association for Computing Machinery, 2008-09)
      As compared to a large spectrum of performance optimizations, relatively less effort has been dedicated to optimize other aspects of embedded applications such as memory space requirements, power, real-time predictability, ...
    • Discriminative fine-grained mixing for adaptive compression of data streams 

      Gedik, B. (Institute of Electrical and Electronics Engineers, 2014)
      This paper introduces an adaptive compression algorithm for transfer of data streams across operators in stream processing systems. The algorithm is adaptive in the sense that it can adjust the amount of compression applied ...
    • Improving multicore system performance through data compression 

      Öztürk, Özcan; Kandemir, M. (Wiley, 2017)
      As applications become more and more complex, it is becoming extremely important to have sufficient compute power on the chip. Multicore and many-core systems have been introduced to address this problem. This chapter ...
    • Nonrectangular wavelets for multiresolution mesh analysis and compression 

      Köse, K.; Çetin, A.E.; Güdükbay, U.; Onural L. (2006)
      We propose a new Set Partitioning In Hierarchical Trees (SPIHT) based mesh compression framework. The 3D mesh is first transformed to 2D images on a regular grid structure. Then, this image-like representation is wavelet ...
    • Novel compression algorithm based on sparse sampling of 3-D laser range scans 

      Dobrucali, O.; Barshan, B. (Oxford University Press, 2013)
      Three-dimensional models of environments can be very useful and are commonly employed in areas such as robotics, art and architecture, facility management, water management, environmental/industrial/urban planning and ...
    • A privacy-preserving solution for compressed storage and selective retrieval of genomic data 

      Huang Z.; Ayday, E.; Lin, H.; Aiyar, R. S.; Molyneaux, A.; Xu, Z.; Fellay, J.; Steinmetz, L. M.; Hubaux, Jean-Pierre (Cold Spring Harbor Laboratory Press, 2016)
      In clinical genomics, the continuous evolution of bioinformatic algorithms and sequencing platforms makes it beneficial to store patients' complete aligned genomic data in addition to variant calls relative to a reference ...
    • Teager energy based feature parameters for robust speech recognition in car noise 

      Jabloun, F.; Çetin, A. E. (IEEE, Piscataway, NJ, United States, 1999)
      In this paper, a new set of speech feature parameters based on multirate signal processing and the Teager Energy Operator is developed. The speech signal is first divided into nonuniform subbands in mel-scale using a ...
    • Using data compression for increasing memory system utilization 

      Ozturk, O.; Kandemir, M.; Irwin, M. J. (Institute of Electrical and Electronics Engineers, 2009-06)
      The memory system presents one of the critical challenges in embedded system design and optimization. This is mainly due to the ever-increasing code complexity of embedded applications and the exponential increase seen in ...
    • Word-based compression in full-text retrieval systems 

      Selçuk, Ali Aydın (Bilkent University, 1995)
      Large space requirement of a full-text retrieval system can be reduced significantly by data compression. In this study, the problem of compressing the main text of a full-text retrieval system is addressed and performance ...