Relevant bibliographies by topics / Pseudo-random sequence

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  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Pseudo-random sequence'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Pseudo-random sequence"

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Tsatsin, A. A. "Synthetic pseudo-random sequence." IOP Conference Series: Materials Science and Engineering 1027 (January 12, 2021): 012028. http://dx.doi.org/10.1088/1757-899x/1027/1/012028.

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Kramosil, Ivan. "On Pseudo-Random Sequences over Finite Automata." Fundamenta Informaticae 8, no. 1 (1985): 55–62. http://dx.doi.org/10.3233/fi-1985-8104.

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It is a well-known fact that binary sequences (strings) of high algorithmic complexity can be taken as good approximations of statistically independent random sequences with two equiprobable outputs. Here “sequence of high algorithmic complexity” is such one, that the length of the shortest program generating this sequence by a universal Turing machine differs only by an a priori given constant from the length of the generated sequence. The present paper generalizes this result to the case of a finite (not necessarily binary) alphabet. Considering an infinite sequence of finite sequences of hi
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Rudnytskyi, V., V. Larin, and D. Pidlasyi. "EVALUATION OF STATISTICAL PROPERTIES OF ENCRYPTION RESULTS BASED ON INFORMATION-DRIVEN OPERATIONS." Наукові праці Державного науково-дослідного інституту випробувань і сертифікації озброєння та військової техніки 22, no. 4 (2024): 121–27. https://doi.org/10.37701/dndivsovt.22.2024.15.

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The article evaluates the statistical properties of the results of encryption of pseudo-random sequences based on information-driven operations. The importance and significance of the use of pseudo-random sequences for optimizing the structural characteristics of systems (complexes, samples) of weapons and military equipment and their components are shown. It is noted that the period of the pseudo-random sequence should be such that the final sequence of adequate length is periodic. Relatively short non-periodic subsequences should be as indistinguishable as possible from random sequences, in
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Mamun, Md Selim Al, and Fatema Akhter. "Pseudo Random Binary Sequence Based on Cyclic Difference Set." Symmetry 12, no. 8 (2020): 1202. http://dx.doi.org/10.3390/sym12081202.

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With the increasing reliance on technology, it has become crucial to secure every aspect of online information where pseudo random binary sequences (PRBS) can play an important role in today’s world of Internet. PRBS work in the fundamental mathematics behind the security of different protocols and cryptographic applications. This paper proposes a new PRBS namely MK (Mamun, Kumu) sequence for security applications. Proposed sequence is generated by primitive polynomial, cyclic difference set in elements of the field and binarized by quadratic residue (QR) and quadratic nonresidue (QNR). Introd
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Borbély, József, and András Sárközy. "Quasi-Random Graphs, Pseudo-Random Graphs and Pseudorandom Binary Sequences, I. (Quasi-Random Graphs)." Uniform distribution theory 14, no. 2 (2019): 103–26. http://dx.doi.org/10.2478/udt-2019-0017.

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AbstractIn the last decades many results have been proved on pseudo-randomness of binary sequences. In this series our goal is to show that using many of these results one can also construct large families of quasi-random, pseudo-random and strongly pseudo-random graphs. Indeed, it will be proved that if the first row of the adjacency matrix of a circulant graph forms a binary sequence which possesses certain pseudorandom properties (and there are many large families of binary sequences known with these properties), then the graph is quasi-random, pseudo-random or strongly pseudo-random, respe
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Journal, Baghdad Science. "Stochastic Non-Linear Pseudo-Random Sequence Generator." Baghdad Science Journal 7, no. 2 (2010): 1042–46. http://dx.doi.org/10.21123/bsj.7.2.1042-1046.

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Many of the key stream generators which are used in practice are LFSR-based in the sense that they produce the key stream according to a rule y = C(L(x)), where L(x) denotes an internal linear bit stream, produced by small number of parallel linear feedback shift registers (LFSRs), and C denotes some nonlinear compression function. In this paper we combine between the output sequences from the linear feedback shift registers with the sequences out from non linear key generator to get the final very strong key sequence
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Shamran, Mahmood A. "Stochastic Non-Linear Pseudo-Random Sequence Generator." Baghdad Science Journal 7, no. 2 (2010): 1042–46. http://dx.doi.org/10.21123/bsj.2010.7.2.1042-1046.

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Many of the key stream generators which are used in practice are LFSR-based in the sense that they produce the key stream according to a rule y = C(L(x)), where L(x) denotes an internal linear bit stream, produced by small number of parallel linear feedback shift registers (LFSRs), and C denotes some nonlinear compression function. In this paper we combine between the output sequences from the linear feedback shift registers with the sequences out from non linear key generator to get the final very strong key sequence
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Unkašević, Tomislav, Zoran Banjac, and Milan Milosavljević. "A Generic Model of the Pseudo-Random Generator Based on Permutations Suitable for Security Solutions in Computationally-Constrained Environments." Sensors 19, no. 23 (2019): 5322. http://dx.doi.org/10.3390/s19235322.

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Symmetric cryptography methods have an important role in security solutions design in data protection. In that context, symmetric cryptography algorithms and pseudo-random generators connected with them have strong influence on designed security solutions. In the computationally constrained environment, security efficiency is also important. In this paper we proposed the design of a new efficient pseudo-random generator parameterized by two pseudo-random sequences. By the probabilistic, information-theoretic and number theory methods we analyze characteristics of the generator. Analysis produc
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Azhmukhamedov, Iscandar Maratovich, and Evgeny Melnikov. "Upper bound of probability of receiving error of aperiodic pseudo-random sequence at jamming." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2020, no. 1 (2020): 64–72. http://dx.doi.org/10.24143/2072-9502-2020-1-64-72.

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The article discusses the obtained estimate of the upper bounds for the probable receiving error of the synchronizing sequence during sensor phasing of aperiodic pseudo-random sequences (CRR) in broadband communication systems in the channels of low quality with strong disturbances of natural and organized structure. The obtained results allow to design synchronization systems of pseudo-random sequences for the worst case, which guarantees their reliable operation in low-quality channels, and, unlike the well-known methods, the estimation of synchronization of aperiodic pseudo-random sequence
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Maksymovych, Volodymyr, Mariia Shabatura, Oleh Harasymchuk, Ruslan Shevchuk, Pawel Sawicki, and Tomasz Zajac. "Combined Pseudo-Random Sequence Generator for Cybersecurity." Sensors 22, no. 24 (2022): 9700. http://dx.doi.org/10.3390/s22249700.

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Random and pseudo-random number and bit sequence generators with a uniform distribution law are the most widespread and in demand in the market of pseudo-random generators. Depending on the specific field of application, the requirements for their implementation and the quality of the generator’s output sequence change. In this article, we have optimized the structures of the classical additive Fibonacci generator and the modified additive Fibonacci generator when they work together. The ranges of initial settings of structural elements (seed) of these generators have been determined, which gu
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Dissertations / Theses on the topic "Pseudo-random sequence"

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Moica, Adrian. "Coprocessor for decoding multi-valued pseudo-random sequence patterns." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0015/MQ57145.pdf.

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Savvidis, Charalampos, and Zeyang Geng. "Onboard Impedance Diagnostics Method of Li-ion Traction Batteries using Pseudo-Random Binary Sequence." Thesis, Linköpings universitet, Tekniska fakulteten, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-118970.

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Environmental and economic reasons have lead automotive companies towards the direction of EVs and HEVs. Stricter emission legislations along with the consumer needs for more cost-efficient and environmental friendly vehicles have increased immensely the amount of hybrid and electric vehicles available in the market. It is essential though for Li-ion batteries, the main propulsion force of EVs and HEVs, to be able to read the battery characteristics in a high accuracy manner, predict life expectancy and behaviour and act accordingly. The following thesis constitutes a concept study of a batter
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Zimnicki, James John. "Spatial Heterodyne Imaging Using a Broadband Source." University of Dayton / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1519143422981263.

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O’Donnell, John. "SOME PRACTICAL CONSIDERATIONS IN THE USE OF PSEUDO-RANDOM SEQUENCES FOR TESTING THE EOS AM-1 RECEIVER." International Foundation for Telemetering, 1998. http://hdl.handle.net/10150/609651.

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International Telemetering Conference Proceedings / October 26-29, 1998 / Town & Country Resort Hotel and Convention Center, San Diego, California<br>There are well-known advantages in using pseudo-random sequences for testing of data communication links. The sequences, also called pseudo-noise (PN) sequences, approximate random data very well, especially for sequences thousands of bits long. They are easy to generate and are widely used for bit error rate testing because it is easy to synchronize a slave pattern generator to a received PN stream for bit-by-bit comparison. There are other aspe
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Nguyen, Phong Hai. "HIGHLY-DIGITAL ARCHITECTURES AND INTEGRATED FRONT-ENDS FOR MULTI-ANTENNA GROUND-PENETRATING RADAR (GPR) SYSTEMS." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1594642732791415.

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Martinson, Christiaan Adolph. "Characterisation of a PEM electrolyser using the current interrupt method / Christiaan Adolph Martinson." Thesis, North-West University, 2012. http://hdl.handle.net/10394/8741.

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The need to characterise a PEM electrolyser is motivated by a South African hydrogen company. One of two electrochemical characterisation methods, namely the current interrupt method or electrochemical impedance spectroscopy, is investigated to characterise the PEM electrolyser. Various literature sources can be found on the electrochemical characterisation methods. In this study the current interrupt method is used for the electrochemical characterisation of a PEM electrolyser. The current interrupt method is an electrical test method that will be used to obtain an equivalent electric circuit
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O'Donovan, T. L. "Signal processing and pseudo-random binary sequences." Thesis, Bangor University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307237.

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Manchiraju, Dinakar. "Evaluation of Pseudorandom Sequences used in 3rd Generation Spread Spectrum Systems." Ohio University / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1081801327.

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Vergara, Tinoco Alexander. "Improving the performance of micro-machined metal oxide gas sensors: Optimization of the temperatura modulation mode via pseudorandom sequences." Doctoral thesis, Universitat Rovira i Virgili, 2006. http://hdl.handle.net/10803/8456.

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Un dels majors problemes experimentats pels sistemes de detecció de gasos basats en sensors d'òxids metàl·lics és la seva manca de reproduibilitat, estabilitat i selectivitat. A fi i a efecte d'intentar resoldre aquest problemes, diferents estratègies han estat desenvolupades en paral·lel. Algunes es relacionen a la millora dels materials i d'altres impliquen el condicionament o el pre-tractament de les mostres. Les més emprades han consistit en aprofitar que els sensors presenten sensibilitats solapades per construir matrius de sensors i emprar tècniques de processament del senyal o bé utilit
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Шестопал, Євген Олександрович, Евгений Александрович Шестопал та Yevgen Shestopal. "Методи покращення енергетичної ефективності та скритності цифрових радіорелейних систем передачі". Thesis, Національний авіаційний університет, 2021. https://er.nau.edu.ua/handle/NAU/52213.

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У дисертаційній роботі вирішена актуальна науково-технічна задача, яка полягає в новому комплексному підході до забезпечення мінімальної потужності передавача, достатньої для одержання заданої ймовірності помилки приймання сигналу, та покращеної скритності передачі інформації. Проведені дослідження впливу виду модуляції сигналу на потужність передавача радіорелейної станції. Показано, що найкращі результати досягаються при використанні 4-х позиційного фазоманіпульованого сигналу ФМ-4. При даній смузі пропускання радіоканалу пропонується використати амплітудно-маніпульований сигнал з під
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Books on the topic "Pseudo-random sequence"

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Bukin, A. D. Correlations of pseudo-random numbers of multiplicative sequence. Institute of Nuclear Physics, 1989.

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Leader, Jeffery J. Neural network identification of keystream generators. Naval Postgraduate School, 1993.

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Book chapters on the topic "Pseudo-random sequence"

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Schneier, Bruce. "Pseudo-Random-Sequence Generators and Stream Ciphers." In Applied Cryptography, Second Edition. John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119183471.ch16.

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Afify, Farag M., and Kamel Hussein Rahouma. "Applying Machine Learning for Securing Data Storage Using Random DNA Sequences and Pseudo-Random Sequence Generators." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69717-4_29.

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Bakeva, Verica, Vesna Dimitrova, and Mile Kostadinoski. "Pseudo Random Sequence Generators Based on the Parastrophic Quasigroup Transformation." In ICT Innovations 2014. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09879-1_13.

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Paul, Aakash, and Shyamalendu Kandar. "Generation of Pseudo Random Sequence Using Modified Newton Raphson Method." In Communications in Computer and Information Science. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0404-1_18.

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Li, Jing, and Yunqing Xu. "The Periodicity of Nonlinear Pseudo Random Sequence Based on Latin Squares." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35211-9_83.

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Ma, Xujiong, Jiawu Yu, and Yinghong Cao. "A New Pseudo-random Sequence Generator Based on a Discrete Hyperchaotic System." In Green Energy and Networking. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21730-3_21.

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Li, Hai, Guoqiang Xue, Pan Zhao, Huasen Zhong, and Nannan Zhou. "The Extraction of TEM Response from Pseudo Random Binary Sequence Source EM Data." In Technology and Application of Environmental and Engineering Geophysics. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3244-8_21.

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Ahmad, Musheer, M. N. Doja, and M. M. Sufyan Beg. "A New Chaotic Map Based Secure and Efficient Pseudo-Random Bit Sequence Generation." In Communications in Computer and Information Science. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5826-5_42.

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Zhang, Hang, Bo Li, Zhongjiang Yan, Mao Yang, and Xiaofei Jiang. "A Pseudo Random Sequence Based Multichannel MAC Protocol for Directional Ad Hoc Networks." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78078-8_18.

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Feng, Kai, and Qun Ding. "Design and Implementation of Pseudo-Random Sequence Generator Based on Logistic Chaotic System and m-Sequence Using FPGA." In Advances in Intelligent Information Hiding and Multimedia Signal Processing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63859-1_44.

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Conference papers on the topic "Pseudo-random sequence"

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Oumouss, Lahcen, Asimi Younes, Asimi Ahmed, and Arjdal Rguibi. "Cryptographically robust pseudo-random binary sequence generator based on the integration of LFSRs and CAs." In 2024 International Conference on Circuit, Systems and Communication (ICCSC). IEEE, 2024. http://dx.doi.org/10.1109/iccsc62074.2024.10616798.

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Horan, D. M., and R. A. Guinee. "Correlation analysis of random number sequences based on pseudo random binary sequence generation." In IEEE Information Theory Workshop, 2005. IEEE, 2005. http://dx.doi.org/10.1109/itw.2005.1531861.

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Mohammad, Doriginti, Kanna Rakesh, Geethu Remadevi Somanathan, and Ramesh Bhakthavatchalu. "Programmable Variable-Length Pseudo-Random Sequence Generator." In 2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT). IEEE, 2022. http://dx.doi.org/10.1109/icaect54875.2022.9808067.

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Zheng, Da-guo, Gang Wang, Bo Li, Wei Lai, and Li Jue-ran. "An improved pseudo random sequence based on the m-sequence." In 2011 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC). IEEE, 2011. http://dx.doi.org/10.1109/csqrwc.2011.6037096.

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Ye, Shun-liu, Shao-lan Zhu, Qi-bing Sun, and De-ke Yan. "Application of pseudo-random sequence in lidar ranging." In 2009 International Conference on Information Engineering and Computer Science. ICIECS 2009. IEEE, 2009. http://dx.doi.org/10.1109/iciecs.2009.5364645.

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Yixia, Niu, Zhuang Ziqiang, Song Jijiang, and Li Yueran. "Pseudo-random Sequence Correlation Simulation Based on MATLAB." In 2010 Second International Conference on Computer Modeling and Simulation (ICCMS). IEEE, 2010. http://dx.doi.org/10.1109/iccms.2010.166.

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Husin, Maimun Huja, Mohamad Faizrizwan Mohd Sabri, Ade Syaheda Wani Marzuki, Kasumawati Lias, and Mohd Fua'ad Rahmat. "Pseudo random binary sequence on second order system." In 2nd International Conference on Computer and Automation Engineering (ICCAE 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccae.2010.5451224.

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Johnston, James S., A. E. Romer, and M. S. Beales. "Optical encoders using pseudo-random-binary-sequence scales." In Specialty Fiber Optic Systems for Mobile Platforms, edited by Norris E. Lewis and Emery L. Moore. SPIE, 1991. http://dx.doi.org/10.1117/12.50981.

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Vyboldin, Yuriy, and Sergey Malinin. "Power spectrum analysis of pseudo-random pulses sequence." In 2018 International Symposium on Consumer Technologies (ISCT). IEEE, 2018. http://dx.doi.org/10.1109/isce.2018.8408918.

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Aimin, Peng, Wang Guangxiang, Yang Jin, and Shuo Liangxun. "Application of Pseudo-Random Sequence in Luminescence Detection Instruments." In 2007 8th International Conference on Electronic Measurement and Instruments. IEEE, 2007. http://dx.doi.org/10.1109/icemi.2007.4351181.

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Reports on the topic "Pseudo-random sequence"

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Yang, Yu, Hen-Geul Yeh, and Bryan Aguirre. Fuel Cell System Development for Heavy Duty Vehicles. Mineta Transportation Institute, 2025. https://doi.org/10.31979/mti.2025.2441.

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As California advances its ambitious goals for transportation electrification to combat climate change, hydrogen-powered fuel cells are emerging as a viable solution for overcoming the challenges of heavy-duty vehicles, offering an efficient alternative to lithium-ion batteries because they produce minimal chemical, thermal, and carbon emissions. One type of hydrogen fuel cell technology called proton exchange membrane fuel cells (PEMFCs) has garnered the most attention due to its distinct advantages, including relatively low operating temperatures (60–80 °C) and reliable performance at high c
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