Готові списки джерел за темами / LTE signal compression

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Добірка наукової літератури з теми "LTE signal compression"

Автор: Grafiati
Опубліковано: 3 червня 2025
Оновлено: 31 липня 2025

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Статті в журналах з теми "LTE signal compression"

1

Guo, Bin, Wei Cao, An Tao, and Dragan Samardzija. "LTE/LTE-A signal compression on the CPRI interface." Bell Labs Technical Journal 18, no. 2 (2013): 117–33. http://dx.doi.org/10.1002/bltj.21608.

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2

Leonardo, Ramalho, Nilma Fonseca Maria, Klautau Aldebaro, et al. "An LPC-Based Fronthaul Compression Scheme." IEEE Communications Letters 21, no. 2 (2016): 318–21. https://doi.org/10.1109/LCOMM.2016.2624296.

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Анотація:
Several new architectures are under investigation for cloud radio access networks, assuming distinct splits of functionality among the network elements. Consequently, the research on radio data compression for the fronthaul is based on assumptions that correspond to a wide variety of tradeoffs among data rate, signal distortion, latency and computational cost. This paper describes a method for LTE downlink point-topoint signal compression based on linear prediction and Huffman coding, which is suitable for low cost encoding and decoding units with s
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3

Cárdenas-Valdez, José Ricardo, Jose Alejandro Galaviz-Aguilar, Cesar Vargas-Rosales, Everardo Inzunza-González, and Leonardo Flores-Hernández. "A Crest Factor Reduction Technique for LTE Signals with Target Relaxation in Power Amplifier Linearization." Sensors 22, no. 3 (2022): 1176. http://dx.doi.org/10.3390/s22031176.

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The signal conditioning treatment to achieve good relation of power with radio-frequency (RF) conversion in conventional transceiver systems require precise baseband models. A developed framework is built to provide a demonstration of the modeling figures of merit with orthogonal frequency division multiplexing (OFDM) support under signal conditioning and transmission restrictions to waveforms with high peak to average power ratio (PAPR) in practical applications. Therefore, peak and average power levels have to be limited to correct high PAPR for a better suited correction power from the ampl
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4

Abderraouf, Elarbi, Mohamed Rida Lahcene, Sid Ahmed Zegnoun, Mohammed Sofiane Bendelhoum, Abderrazak Ali Tadjeddine, and Fayssal Menezla. "Transmission performance in compressed medical images using turbo code." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 1 (2022): 318. http://dx.doi.org/10.11591/ijeecs.v27.i1.pp318-327.

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Medical imaging is now an essential support for screening, diagnosis, treatment protocols implementation, patient monitoring, operative preparation and post-operative control. In addition, scientific and technological advances make it possible to set up new imaging methods, often complementary to the existing ones, but also to gradually improve their accuracy. The result is an increase, in the acquisitions number made for the same patient and for information produced for each examination. Since these images must be kept for a certain period, the storage space required for archiving all this da
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5

Wang, Yuqi, Tongyu Nie, and Xunqian Tong. "Efficient Compressed Sensing-Driven Wireless Multi-Hop Seismic Data Transmission Network." Journal of Computer Science and Artificial Intelligence 2, no. 3 (2025): 58–62. https://doi.org/10.54097/fcan0a87.

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Анотація:
In recent years, the advancement of cableless seismic data acquisition devices, particularly nodal seismographs, has revolutionized seismic exploration. However, traditional "blind acquisition" methods face significant limitations, including the inability to enable real-time monitoring, challenges in ensuring data transmission stability, and the inefficiency of device retrieval in large-scale exploration projects. To address these issues, this paper proposes an Efficient Com-pressed Sensing-Driven Wireless Multi-Hop Seismic Data Transmission Network (WMDTN), which inte-grates a hierarchical wi
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6

Zhang, Zheng Pu, Xing Feng Guo, and Bo Tian. "Analysis of the Effect of Noise in CosaMP Algorithm." Advanced Materials Research 926-930 (May 2014): 2992–95. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2992.

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Анотація:
Compressive sensing is a new type of digital signal processing method. The novel objective of compressive Sensing is to reconstruct a signal accurately and efficiently from far fewer sampling points got by Nyquist sampling theorem. Compressive sensing theory combines the process of sampling and compression to reduce the complexity of signal processing, which is widely used in many fields. so there are wide application prospects in the areas of radar image, wireless sensor network (WSN), radio frequency communication, medical image processing, image device collecting and so on. One of the impor
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7

Saponara, Sergio, Filippo Giannetti, and Bruno Neri. "Design Exploration of mm-Wave Integrated Transceivers for Short-Range Mobile Communications Towards 5G." Journal of Circuits, Systems and Computers 26, no. 04 (2016): 1750069. http://dx.doi.org/10.1142/s0218126617500694.

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Анотація:
This paper presents a design exploration, at both system and circuit levels, of integrated transceivers for the upcoming fifth generation (5G) of wireless communications. First, a system level model for 5G communications is carried out to derive transceiver design specifications. Being 5G still in pre-standardization phase, a few currently used standards (ECMA-387, IEEE 802.15.3c, and LTE-A) are taken into account as the reference for the signal format. Following a top-down flow, this work presents the design in 65[Formula: see text]nm CMOS SOI and bulk technologies of the key blocks of a full
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8

Golubičić, Zoran, Slobodan Simić, and Aleksa J. Zejak. "Design and EPGA Implementation of Digital Pulse Compression for Band–Pass Radar Signals." Journal of Electrical Engineering 64, no. 3 (2013): 191–95. http://dx.doi.org/10.2478/jee-2013-0028.

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The paper presents fully digitized approach for band-pass discrete coded radar signals. The emphasis is to use one generalized reconfigurable compressor for several different types of signals and different types of receivers. It fits for direct radio frequency receiver (RF) as well as for intermediate frequency (IF) receiver. The system implementation on field programmable gate area (FPGA) let us eliminate special chips previously needed. From the experimental results it is known that this approach appears to work well for matched and mismatched pulse compression and it outstands when timeband
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9

Feng, Chenwei. "Data Compression Scheme of Fronthaul Network Based on LTE." International Journal of Online Engineering (iJOE) 14, no. 10 (2018): 153. http://dx.doi.org/10.3991/ijoe.v14i10.9312.

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Анотація:
<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'MS Mincho'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;">As the long term evolution (LTE) mobile users and transmission data increase, the load of the fronthaul network increases. In order to control the consumption of optical fiber resources, and prevent congestion under the premise of increasing data transmission, it is necessary to compress the data of the fronthaul network. In this paper, a data compression scheme of LTE-based fronthaul network is proposed.
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10

Li, Dengao, Junmin Zhao, Hongyan Liu, and Defeng Hao. "The Application of FastICA Combined with Related Function in Blind Signal Separation." Mathematical Problems in Engineering 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/953745.

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Анотація:
Blind source separation (BSS) has applications in the fields of data compression, feature recognition, speech, audio, and biosignal processing. Identification of ECG signal is one of the challenges in the biosignal processing. Proposed in this paper is a new method, which is the combination of related function relevance to estimated signal and negative entropy in fast independent component analysis (FastICA) as objective function, and the iterative formula is derived without any assumptions; then the independent components are found by maximizing the objective function. The improved algorithm
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Дисертації з теми "LTE signal compression"

1

Laurutis, Žygimantas. "Garso signalo automatinis amplitudės reguliavimas." Bachelor's thesis, Lithuanian Academic Libraries Network (LABT), 2012. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120928_103538-69161.

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Šis darbas yra apie įrenginį, kuris siaurina garsinio signalo dinaminį diapazoną. Darbe lyginami automatinio stiprinimo reguliavimo metodai, bei jų taikymai pramoniniuose garso kompresoriuose. Ieškoma būdų šiuos įrenginius patobulinti.<br>This article is about apparatus that intentionally reduces the dynamic range of audio signals. The goal is to compare methods of automatic gain reduction, talk their implementation in industry standard hardware compressors and look for possible circuit modifications.
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Частини книг з теми "LTE signal compression"

1

SivachandarK., V. Amudha, B. Ramesh, Jose Anand, M. ShanmugaSundari, and Jerril Gilda S. "MIMO-IDMA System Performance for SUI and LTE Frequency Selective Channels." In Advances in Parallel Computing Algorithms, Tools and Paradigms. IOS Press, 2022. http://dx.doi.org/10.3233/apc220059.

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Анотація:
The spectrum used by Code Division Multiple Access (CDMA) allows for a signal with a greater bandwidth by spreading electromagnetic energy. Multi-Carrier CDMA (MC-CDMA) is a telecommunications numerousentrée strategy that spreads each user symbol across the frequency domain with distinct codes. Cognitive Radio (CR) is a vibrant spectrum admittance enabling technology by dynamically allocating space for fundamental users by modifying its settings and base station. Two models for people on the cognitive spectrum are Opportunistic Spectrum Access (OSA) and Concurrent Spectrum Access (CSA). Using
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2

GERSHO, ALLEN. "Advances in Speech and Audio Compression Manuscript received November 1. 1993: revised January 15. 1994. This work was supported in part by the National Science Foundation. Fujitsu Laboratories. Ltd. the UC Micro program. Rockwell International Corporation. Hughes Aircraft Company. Echo Speech Corporation. Signal Technology. Inc. and Qualcomm. Inc.IEEE Log Number 9401177." In Readings in Multimedia Computing and Networking. Elsevier, 2002. http://dx.doi.org/10.1016/b978-155860651-7/50089-9.

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Тези доповідей конференцій з теми "LTE signal compression"

1

Bin Guo, Wei Cao, An Tao, and D. Samardzija. "CPRI compression transport for LTE and LTE-A signal in C-RAN." In 2012 7th International ICST Conference on Communications and Networking in China (CHINACOM 2012). IEEE, 2012. http://dx.doi.org/10.1109/chinacom.2012.6417602.

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2

He, Zhonghua, Chunjing Hu, Tao Peng, and Chong Ma. "A compression scheme for LTE baseband signal in C-RAN." In 2014 9th International Conference on Communications and Networking in China (CHINACOM). IEEE, 2014. http://dx.doi.org/10.1109/chinacom.2014.7054286.

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3

Nieman, Karl F., and Brian L. Evans. "Time-domain compression of complex-baseband LTE signals for cloud radio access networks." In 2013 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2013. http://dx.doi.org/10.1109/globalsip.2013.6737122.

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4

Cho, Sungyoon, Joohyun Do, Inhyoung Kim, and Min Goo Kim. "A Low Complexity Baseband Signal Compression for Data Transport in LTE-A and NR Systems." In 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring). IEEE, 2020. http://dx.doi.org/10.1109/vtc2020-spring48590.2020.9128449.

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5

Yu, Wentao, Jiayu Chen, Hong Sun, and Wei Li. "The compression of wireless base station lte-ir data using adaptive frequency domain floating-point coding." In 2014 12th International Conference on Signal Processing (ICSP 2014). IEEE, 2014. http://dx.doi.org/10.1109/icosp.2014.7015285.

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6

Choi, Jinseok, Brian L. Evans, and Alan Gatherer. "Space-time fronthaul compression of complex baseband uplink LTE signals." In ICC 2016 - 2016 IEEE International Conference on Communications. IEEE, 2016. http://dx.doi.org/10.1109/icc.2016.7511265.

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7

Ali, Mustafa Mahdi, Mokhalad Khaleel Alghrairi, and Emad Hmood Salman. "LTE Signal Detection Using Two-Stage Cooperative Compressive Sensing System." In 2018 Al-Mansour International Conference on New Trends in Computing, Communication, and Information Technology (NTCCIT). IEEE, 2018. http://dx.doi.org/10.1109/ntccit.2018.8681191.

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8

Ren, Yuwei, Yingmin Wang, Guixian Xu, and Qing Huang. "A compression method for LTE-A signals transported in radio access networks." In 2014 21st International Conference on Telecommunications (ICT). IEEE, 2014. http://dx.doi.org/10.1109/ict.2014.6845126.

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9

Hegde, Chinmay, Aswin Sankaranarayanan, and Richard Baraniuk. "LIE operators for compressive sensing." In ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2014. http://dx.doi.org/10.1109/icassp.2014.6854018.

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10

Yommy, Aiyeola Sikiru, Rongke Liu, Spencer Ojogba Onuh, and Ani Cosmas Ikechukwu. "SAR image despeckling and compression using K-nearest neighbour based lee filter and wavelet." In 2015 8th International Congress on Image and Signal Processing (CISP). IEEE, 2015. http://dx.doi.org/10.1109/cisp.2015.7407868.

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