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On the Height Profile of Analog Error-Correcting Codes

Ron M. Roth, Ziyuan Zhu, Changcheng Yuan, Paul H. Siegel, Anxiao Jiang

TL;DR

This work contains a further study of the notion of the height profile, and a combinatorial characterization of the height profile as a maximum (or max--min) over a certain finite set of codewords of $C$.

Abstract

In recent work, it has been shown that maintaining reliability in analog vector--matrix multipliers can be modeled as the following coding problem. Vectors in $\mathbb{R}^k$ are encoded into codewords of a linear $[n,k,d]$ code $C$ over $\mathbb{R}$. For prescribed positive reals $δ< Δ$, additive errors of magnitude at most $δ$ are tolerable and need no handling, yet outlying errors of magnitude greater than $Δ$ are to be located or detected. The trade-off between the ratio $Δ/δ$ and the number of outlying errors that can be handled is determined by the height profile of $C$; as such, the height profile provides a finer description of the error handling capability of $C$, compared to the minimum distance $d$, which only determines the number of correctable errors. This work contains a further study of the notion of the height profile. Several characterizations of the height profile are presented, thereby yielding methods for computing it. The starting point is formulating this computation as an optimization problem that is solved by a set of linear programs. This, in turn, leads to a combinatorial characterization of the height profile as a maximum (or max--min) over a certain finite set of codewords of $C$. Moreover, this characterization is shown to have a simple geometric interpretation when the columns of the generator matrix of $C$ all have the same $L_2$ norm. Through examples of several code families, it is demonstrated how the results herein can be used to compute the height profile explicitly.

On the Height Profile of Analog Error-Correcting Codes

TL;DR

This work contains a further study of the notion of the height profile, and a combinatorial characterization of the height profile as a maximum (or max--min) over a certain finite set of codewords of .

Abstract

In recent work, it has been shown that maintaining reliability in analog vector--matrix multipliers can be modeled as the following coding problem. Vectors in are encoded into codewords of a linear code over . For prescribed positive reals , additive errors of magnitude at most are tolerable and need no handling, yet outlying errors of magnitude greater than are to be located or detected. The trade-off between the ratio and the number of outlying errors that can be handled is determined by the height profile of ; as such, the height profile provides a finer description of the error handling capability of , compared to the minimum distance , which only determines the number of correctable errors. This work contains a further study of the notion of the height profile. Several characterizations of the height profile are presented, thereby yielding methods for computing it. The starting point is formulating this computation as an optimization problem that is solved by a set of linear programs. This, in turn, leads to a combinatorial characterization of the height profile as a maximum (or max--min) over a certain finite set of codewords of . Moreover, this characterization is shown to have a simple geometric interpretation when the columns of the generator matrix of all have the same norm. Through examples of several code families, it is demonstrated how the results herein can be used to compute the height profile explicitly.
Paper Structure (9 sections, 122 equations, 1 figure, 5 tables)

This paper contains 9 sections, 122 equations, 1 figure, 5 tables.

Figures (1)

  • Figure 1: Computation of the $m$-height of a linear $[n,k]$ code ${\mathcal{C}}$ using linear programming.

Theorems & Definitions (13)

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  • proof : Proof of Lemma \ref{['lem:m-height-dual']}
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  • proof : Proof of Lemma \ref{['lem:m=r-1']}
  • ...and 3 more