Results 171 to 180 of about 1,556 (216)
Some of the next articles are maybe not open access.
Proceedings DCC 2001. Data Compression Conference, 2002
We propose a new transform coding algorithm that integrates all optimization steps into a coherent and consistent framework. Each iteration of the algorithm is designed to minimize coding distortion as a function of both the transform and quantizer designs.
Cynthia Archer, Todd K. Leen
openaire +1 more source
We propose a new transform coding algorithm that integrates all optimization steps into a coherent and consistent framework. Each iteration of the algorithm is designed to minimize coding distortion as a function of both the transform and quantizer designs.
Cynthia Archer, Todd K. Leen
openaire +1 more source
Optimal Prefix Codes And Huffman Codes
International Journal of Computer Mathematics, 2003Existence of the optimal prefix codes is shown in this paper. Relationship between the optimal prefix code and the Huffman code is also discussed. We prove that all Huffman codes are optimal prefix codes and conversely optimal prefix codes need not be Huffman codes.
Dongyang Long +2 more
openaire +1 more source
IEEE Transactions on Information Theory, 1969
Some known results on the nonexistence of linear optimal codes can be very easily proved using results on the weight distribution of such codes.
openaire +1 more source
Some known results on the nonexistence of linear optimal codes can be very easily proved using results on the weight distribution of such codes.
openaire +1 more source
Software: Practice and Experience, 1983
AbstractProgram optimization has received a great deal of attention for many years, which has resulted in numerous advances in compiler technology. The effectiveness of various simple optimizations has received comparably little attention during the same time period.
openaire +2 more sources
AbstractProgram optimization has received a great deal of attention for many years, which has resulted in numerous advances in compiler technology. The effectiveness of various simple optimizations has received comparably little attention during the same time period.
openaire +2 more sources
Optimal codes as Tanner codes with cyclic component codes
Designs, Codes and Cryptography, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tom Høholdt +2 more
openaire +2 more sources
Optimization and the genetic code
Origins of life and evolution of the biosphere, 1989The present paper will focus on the relation between the structure of the table of the genetic code and the evolution of primitive organisms: it will be shown that the organization of the code table according to an optimization principle based on the notion of resistance to errors can provide a criterium for selection. The ordered aspect of the genetic
openaire +2 more sources
Optimal Coding and Sampling of Triangulations
Algorithmica, 2003We present a bijection between the set of plane triangulations (aka. maximal planar graphs) and a simply defined subset of plane trees with two leaves per inner node. The construction takes advantage of the minimal realizer (or Schnyder tree decomposition) of a plane triangulation. This yields a simple interpretation of the formula for the number of
Poulalhon, Dominique, Schaeffer, Gilles
openaire +2 more sources
Optimization of the Genetic Code
Nature, 1967THE Atlas of Protein Sequence and Structure compiled by Eck and Dayhoff1 provides an opportunity for preliminary statistical examinations of aspects of the genetic code.
openaire +2 more sources
Some Topics in Code Optimization
Journal of the ACM, 1974Many compilers for higher order languages attempt to translate the source code into “good” object code. Cocke and Schwartz have described an algorithm for discovering when the computation of an expression is redundant (common), and when it can be moved to a less frequently executed region of the program.
openaire +2 more sources
Optimization principles for the neural code
Network: Computation in Neural Systems, 1996Recent experiments show that the neural codes at work in a wide range of creatures share some common features. At first sight, these observations seem unrelated. However, we show that these features arise naturally in a linear filtered threshold crossing model when we set the threshold to maximize the transmitted information.
openaire +4 more sources