Sep 2026· IEEE Transactions on Information Theory· Vol 72, pp. 6466-6477· 0 citations· 36 references
Abstract
Let <inline-formula> <tex-math notation="LaTeX">$\mathcal {C}_{(q,q^{m}+1,3,h)}$ </tex-math></inline-formula> denote the antiprimitive BCH code with designed distance 3. For any <inline-formula> <tex-math notation="LaTeX">$q$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$m$ </tex-math></inline-formula>, we demonstrate that the minimum distance <inline-formula> <tex-math notation="LaTeX">$d$ </tex-math></inline-formula> of <inline-formula> <tex-math notation="LaTeX">$\mathcal {C}_{(q,q^{m}+1,3,h)}$ </tex-math></inline-formula> equals 3 if and only if <inline-formula> <tex-math notation="LaTeX">$\gcd (2h+1,q+1,q^{m}+1)\ne 1$ </tex-math></inline-formula>. For odd <inline-formula> <tex-math notation="LaTeX">$q$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$m$ </tex-math></inline-formula>, we show that <inline-formula> <tex-math notation="LaTeX">$d=4$ </tex-math></inline-formula> if and only if <inline-formula> <tex-math notation="LaTeX">$\gcd (2h+1,q+1)=1$ </tex-math></inline-formula>, thereby fully characterizing the minimum distance in this case. For even <inline-formula> <tex-math notation="LaTeX">$q$ </tex-math></inline-formula> or even <inline-formula> <tex-math notation="LaTeX">$m$ </tex-math></inline-formula>, we establish some sufficient conditions for <inline-formula> <tex-math notation="LaTeX">$d=4$ </tex-math></inline-formula> or <inline-formula> <tex-math notation="LaTeX">$d=5$ </tex-math></inline-formula>. Additionally, we investigate the parameters of <inline-formula> <tex-math notation="LaTeX">$\mathcal {C}_{(q,q^{m}+1,3,h)}$ </tex-math></inline-formula> for certain <inline-formula> <tex-math notation="LaTeX">$h$ </tex-math></inline-formula>, and present two infinite families of distance-optimal codes as well as several linear codes with the best known parameters.
A lossless data compression problem with a privacy constraint is studied where a server has access to a database of <inline-formula> <tex-math notation="LaTeX">$N$ </tex-math></inline-formula> files, <inline-formula> <tex-math notation="LaTeX">$(Y_{1},\ldots,Y_{N})$ </tex-math></inline-formula>, each of size <inline-fo...
A. Zamani, Mikael Skoglund· IEEE Journal on Selected Are...· 0 citations
DLCT-<inline-formula> <tex-math notation="LaTeX">$c_{3}$ </tex-math></inline-formula> index modulation (DLCT-<inline-formula> <tex-math notation="LaTeX">$c_{3}$ </tex-math></inline-formula> IM) is presented as a single-parameter transform-domain index signaling scheme. The <inline-formula> <tex-math notation="LaTeX">$c...
This work studies sparse principal component analysis (PCA) in high dimensions. Given <inline-formula> <tex-math notation="LaTeX">$n$ </tex-math></inline-formula> independent <inline-formula> <tex-math notation="LaTeX">$p$ </tex-math></inline-formula>-dimensional Gaussian samples with covariance <inline-formula> <tex-m...
Michal Feldman, Theodor Misiakiewicz, Elad Romanov· IEEE Transactions on Informa...· 0 citations
In this paper, we revisit the Cramér-Rao bound (CRB) for deterministic sparse vector estimation under a general observation model. For a given support set <inline-formula><tex-math notation="LaTeX">$\mathcal {S}$</tex-math></inline-formula>, we identify and analyze two alternative oracle CRB formulations: (i) a <italic...
Morad Halihal, T. Routtenberg· IEEE Signal Processing Lette...· 0 citations
When a system operates under impulsive disturbances and conventional state estimation methods become ineffective, robust peak error reduction is required. In this paper, the <italic>error-to-error transfer function</italic> approach is used to compute the bias correction gain <inline-formula><tex-math notation="LaTeX">...
O. Ibarra-Manzano, Shun-Yi Zhao, Yuan Xu et al.· IEEE Open Journal of Signal...· 0 citations
This letter studies a Fourier-probe obstruction test for structured residue-class derivative sampling of analytic functions. At each of two sampling points, only derivatives whose orders lie in prescribed residue classes modulo <inline-formula><tex-math notation="LaTeX">$q$</tex-math></inline-formula> are retained. A f...
Suman Sanyal· IEEE Signal Processing Lette...· 0 citations
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