Results 41 to 50 of about 2,149,393 (281)

Using Hadamard transform for cryptanalysis of pseudo-random generators in stream ciphers [PDF]

EAI Endorsed Transactions on Energy Web, 2020
In this work we discuss results obtained from an application of the Hadamard transform to cryptanalysis, andin particular, we determine the probability to decipher different pseudo-random number generators used ascomponents of stream ciphers.
Guillermo Sosa-Gómez, Omar Rojas, Octavio Páez-Osuna   +2 more
doaj   +1 more source

Reversible Hadamard transforms

Facta universitatis - series: Electronics and Energetics, 2007
A coding method which reconstruct an original digital image without distortion is called "reversible coding". In case of the classical block transform coding (Cosine, Hadamard, Haar and etc) we have to make the number of levels of the transform coefficient very large in order to reconstruct the input signal with no distortion.
Hakob Sarukhanyan, Sos Agaian, Karen Egiazarian, Jaakko Astola   +3 more
openaire   +2 more sources

Improved Subsampled Randomized Hadamard Transform for Linear SVM [PDF]

AAAI Conference on Artificial Intelligence, 2020
Subsampled Randomized Hadamard Transform (SRHT), a popular random projection method that can efficiently project a d-dimensional data into r-dimensional space (r ≪ d) in O(dlog(d)) time, has been widely used to address the challenge of high ...
Zijian Lei, Liang Lan
semanticscholar   +1 more source

Some Cryptographic Properties of Functions Based on their 2q-Nega-Hadamard Transform [PDF]

International Journal of Mathematical, Engineering and Management Sciences
Negabent functions play a vital role in the field of cryptography and coding theory for designing secure cryptosystems. In this article, we investigate the various properties of 2q-nega-Hadamard transform (2q-NHT) of the functions from Z_q^n to Z_2q with
Deep Singh, Bibhuti Bhusan Mohanta, Amit Paul, Jatinder Kumar, Rajwinder Singh   +4 more
doaj   +1 more source

High Sensitivity Snapshot Spectrometer Based on Deep Network Unmixing

Sensors, 2020
Spectral detection provides rich spectral–temporal information with wide applications. In our previous work, we proposed a dual-path sub-Hadamard-s snapshot Hadamard transform spectrometer (Sub-s HTS).
Hui Xie, Zhuang Zhao, Jing Han, Lianfa Bai, Yi Zhang   +4 more
doaj   +1 more source

Speech Encryption Algorithm Based on Nonorthogonal Quantum State with Hyperchaotic Keystreams

Advances in Mathematical Physics, 2020
With the advancement in modern computational technologies like cloud computing, there has been tremendous growth in the field of data processing and encryption technologies. In this contest there is an increasing demand for successful storage of the data
F. J. Farsana, K. Gopakumar
doaj   +1 more source

A Characterization of Generalized Boolean Functions Employed in CDMA Communications [PDF]

International Journal of Mathematical, Engineering and Management Sciences
In design of secure cryptosystems and CDMA communications, the negabent functions play a significant role. The generalized Boolean functions have been extensively studied by Schmidt and established several important results in this setup.
Deep Singh, Anjali Chawla, Pramod Bhogta, Amit Paul   +3 more
doaj   +1 more source

Hadamard transform-based hyperspectral imaging using a single-pixel detector.

Optics Express, 2020
In this paper, a single-pixel hyperspectral imager is developed based on the Hadamard transformation. The imager's design, fabrication, signal processing method, and experimental results are discussed.
Qi Yi, Lim Zi Heng, Li Liang, Guangcan Zhou, Chau Fook Siong, Guangya Zhou   +5 more
semanticscholar   +1 more source

Genome‐Wide by Lifetime Environment Interaction Studies of Brain Imaging Phenotypes

Advanced Science, EarlyView.
This study explores genome‐wide by lifetime environment interactions on brain imaging phenotypes. Gene‐environment interactions explain more phenotypic variance than main effects, pinpoint regulatory variants, and reveal exposure‐specific biological pathways.
Sijia Wang, Meiyun Wang, Peng Zhang, Jingliang Cheng, Longjiang Zhang, Wenzhen Zhu, Shijun Qiu, Zuojun Geng, Guangbin Cui, Yongqiang Yu, Weihua Liao, Xi‐Nian Zuo, Hui Zhang, Bo Gao, Xiaojun Xu, Tong Han, Zhenwei Yao, Quan Zhang, Feng Liu, Qiang Xu, Jiayuan Xu, Jilian Fu, Nana Liu, Yuan Ji, Jie Tang, Lining Guo, Mengge Liu, Xiaoxiao Xiao, Xiaoxuan Liu, Wei Li, Caihong Wang, Wei Wei, Dapeng Shi, Su Lui, Zhihan Yan, Feng Chen, Jing Zhang, Wen Shen, Yanwei Miao, Dawei Wang, Jia‐Hong Gao, Yunjun Yang, Kai Xu, Junfang Xian, Bing Zhang, Xiaochu Zhang, Zhaoxiang Ye, Le Yu, Wen Qin, Meng Liang, Chunshui Yu, the CHIMGEN Consortium   +51 more
wiley   +1 more source

Explicit Compression Degradation Estimations for Low‐Sampling Single‐Pixel Imaging using Hadamard Basis

Advanced Science, EarlyView.
This study proposes a degradation estimation technique to explicitly describe compressive sampling for low‐sampling Hadamard single‐pixel imaging. Blur kernels in explicit degradation models are estimated by the self‐supervised learning method without labeled data and implicit priors.
Haoyu Zhang, Jie Cao, Chang Zhou, Haifeng Yao, Qun Hao   +4 more
wiley   +1 more source