Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Information Theoretic Bounds Based Channel Quantization Design for
  Emerging Memories   Channel output quantization plays a vital role in high-speed emerging
memories such as the spin-torque transfer magnetic random access memory
(STT-MRAM), where high-precision analog-to-digital converters (ADCs) are not
applicable. In this paper, we investigate the design of the 1-bit quantizer
which is highly suitable for practical applications. We first propose a
quantized channel model for STT-MRAM. We then analyze various information
theoretic bounds for the quantized channel, including the channel capacity,
cutoff rate, and the Polyanskiy-Poor-Verd\'{u} (PPV) finite-length performance
bound. By using these channel measurements as criteria, we design and optimize
the 1-bit quantizer numerically for the STT-MRAM channel. Simulation results
show that the proposed quantizers significantly outperform the conventional
minimum mean-squared error (MMSE) based Lloyd-Max quantizer, and can approach
the performance of the 1-bit quantizer optimized by error rate simulations.

14
The categories of this paper are: math-ph
23
The categories of this paper are: solv-int
30
The categories of this paper are: q-alg
22
The categories of this paper are: chao-dyn
35
The categories of this paper are: mtrl-th
6
The categories of this paper are: astro-ph
7
The categories of this paper are: hep-th
15
The categories of this paper are: nucl-ex
17
The categories of this paper are: q-fin
36
The categories of this paper are: cmp-lg
18
The categories of this paper are: econ
34
The categories of this paper are: chem-ph
19
The categories of this paper are: eess
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The categories of this paper are: quant-ph
8
The categories of this paper are: hep-ex
24
The categories of this paper are: dg-ga