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Bibliographic Details
Main Authors: Monroy, Brayan, Bacca, Jorge
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2409.02406
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author Monroy, Brayan
Bacca, Jorge
author_facet Monroy, Brayan
Bacca, Jorge
contents In this paper, we introduce an efficient algorithm for generating specific Hadamard rows, addressing the memory demands of pre-computing the entire matrix. Leveraging Sylvester's recursive construction, our method generates the required $i$-th row on demand, significantly reducing computational resources. The algorithm uses the Kronecker product to construct the desired row from the binary representation of the index, without creating the full matrix. This approach is particularly useful for single-pixel imaging systems that need only one row at a time.
format Preprint
id arxiv_https___arxiv_org_abs_2409_02406
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Hadamard Row-Wise Generation Algorithm
Monroy, Brayan
Bacca, Jorge
Data Structures and Algorithms
Computational Complexity
Computer Vision and Pattern Recognition
In this paper, we introduce an efficient algorithm for generating specific Hadamard rows, addressing the memory demands of pre-computing the entire matrix. Leveraging Sylvester's recursive construction, our method generates the required $i$-th row on demand, significantly reducing computational resources. The algorithm uses the Kronecker product to construct the desired row from the binary representation of the index, without creating the full matrix. This approach is particularly useful for single-pixel imaging systems that need only one row at a time.
title Hadamard Row-Wise Generation Algorithm
topic Data Structures and Algorithms
Computational Complexity
Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2409.02406