A fast encoding method for lattice codes and quantizers

نویسندگان

  • John H. Conway
  • N. J. A. Sloane
چکیده

In an earlier paper the authors described a very fast method which, for the root lattices A,, D,, E,,, their duals and certain other lattices, finds the closest lattice point to an arbitrary point of the underlying space. If the lattices are used as codes for a Gaussian channel, the algorithm provides a fast decoding procedure, or if they are used as vector quantizers the algorithm performs the analog-to-digital conversion efficiently. ‘Qe present paper offers a solution to the inverse problem for the same lattices (the encoding problem for channel codes or the digital-toanalog part of quantizing), namely, given an integer k, to find the k th code vector, and to the closely related problem of finding the index k of a given code vector.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Performance of Quantizers on Noisy Channels Using Structured Families of Codes

Achievable distortion bounds are derived for the cascade of structured families of binary linear channel codes and binary lattice vector quantizers. It is known that for the cascade of asymptotically good channel codes and asymptotically good vector quantizers the end-to-end distortion decays to zero exponentially fast as a function of the overall transmission rate, and is achieved by choosing ...

متن کامل

Performance of Quantizers on Noisy Channels

Achievable distortion bounds are derived for the cascade of structured families of binary linear channel codes and binary lattice vector quantizers. It is known that for the cascade of asymptotically good channel codes and asymptotically good vector quantizers the end-to-end distortion decays to zero exponentially fast as a function of the overall transmission rate, and is achieved by choosing ...

متن کامل

Fast quantizing and decoding and algorithms for lattice quantizers and codes

For each of the lattices A,(n 2 I), D,,(n 2 2), EC, E,, E,, and their duals a very fast algorithm is given for finding the closest lattice point to an arbitrary point. If these lattices are used for vector quantizing of uniformly distributed data, the algorithm finds the min imum distortion lattice point. If the lattices are used as codes for a Gaussian channel, the algorithm performs max imum ...

متن کامل

An efficient approach to lattice-based fixed-rate entropy-coded vector quantization

In the absence of channel noise, variable-length quantizers perform better than xed rate Lloyd-Max quantizers for sources with a non-uniform density function. However, channel errors can lead to a loss of synchronization resulting in a propagation of error. To avoid having variable rate, one can use a vector quantizer selected as a subset of high probability points in the Cartesian product of a...

متن کامل

Lattice Quantization with Side Information

We consider the design of lattice vector quantizers for the problem of coding Gaussian sources with uncoded side information available only at the decoder. The design of such quantizers can be reduced to the problem of nding an appropriate sublattice of a given lattice codebook. We study the performance of the resulting quantizers in the limit as the encoding rate becomes high, and we evaluate ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • IEEE Trans. Information Theory

دوره 29  شماره 

صفحات  -

تاریخ انتشار 1983