Relevant bibliographies by topics / Chirp signals

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Chirp signals'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Chirp signals"

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Zhang, Haowen, and Qiuze Yu. "Photonic Approach to Multi-band Dual-chirp Microwave Waveform Generation with Quadruple Bandwidth." Advances in Engineering Technology Research 9, no. 1 (2024): 762. http://dx.doi.org/10.56028/aetr.9.1.762.2024.

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We propose a scheme for generating a microwave waveform with dual-band, dual-chirp, linearly chirped characteristics and quadruple chirp bandwidth. In this scheme, we employ two cascaded Mach-Zehnder modulators (MZMs), with each modulated by a microwave signal and a linearly frequency modulated (LFM) signal. This modulation technique extends the LFM signal to multiple frequency bands and enhances its bandwidth. By properly adjusting the microwave signal's frequency and the LFM's carrier frequency, we can intelligently combine the up-chirp and down-chirp signals obtained after heterodyne beatin
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Lan, Xiang, Min Zhang, and Jin-Xing Li. "OFDM Chirp Waveform Design Based on Subchirp Bandwidth Overlap and Segmented Transmitting for Low Correlation Interference in MIMO Radar." Sensors 19, no. 12 (2019): 2696. http://dx.doi.org/10.3390/s19122696.

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There are some special merits for the orthogonal frequency division multiplexing (OFDM) chirp waveform as multiple input multiple output (MIMO) signals. This signal has high range resolution, good Doppler tolerance, and constant modulus superiority since it exploits a full bandwidth and is based on chirp signals. The correlation sidelobe peaks level are critical for the detection requirement of MIMO radar signals, however conventional OFDM chirp signals produce high autocorrelation sidelobe peaks (ASP) and cross-correlation peaks (CP), which reduces detection performance. In this paper, we exp
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YAO, SUSU, and ZHENYA HE. "ANALYSIS OF MULTICOMPONENT CHIRP SIGNALS USING FREQUENCY-SHEAR REPRESENTATION." Journal of Circuits, Systems and Computers 06, no. 04 (1996): 385–401. http://dx.doi.org/10.1142/s0218126696000261.

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This paper is concerned with the problem of multicomponent chirp signal analysis. The traditional analysis tool is time-frequency distribution which has been paid more attention in deterministic nonstationary signal processing. However, for chirp signals, it is difficult to find a best time-frequency representation that has high auto component concentration and cross-term suppression. Generally, any time-frequency representation based on rectangular resolution cell will not result in good performance for signals with time-varying frequency content. In this paper we propose a new representation
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Cheng, Wenhai, Qunying Zhang, Wei Lu, Haiying Wang, and Xiaojun Liu. "An Efficient Digital Channelized Receiver for Low SNR and Wideband Chirp Signals Detection." Applied Sciences 13, no. 5 (2023): 3080. http://dx.doi.org/10.3390/app13053080.

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Synthetic aperture radar (SAR) is essential for obtaining intelligence in modern information warfare. Wideband chirp signals with a low signal-to-noise ratio (SNR) are widely used in SAR. Intercepting low-SNR wideband chirp signals is of great significance for anti-SAR reconnaissance. Digital channelization technology is an effective means to intercept wideband signals. The existing digital channelization methods have the following problems: the contradiction of reception blind zone and signal spectrum aliasing, high computational complexity, and low estimating accuracy for chirp signals with
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Steiskal, A. B., S. O. Kovtun, V. V. Voitko, and A. P. Ogarok. "Demodulation of Energy Hidden Linear-Frequency-Modulated Signals." Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, no. 86 (September 30, 2021): 45–51. https://doi.org/10.20535/radap.2021.86.45-51.

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Statement of the problem in generalRecently, there has been a tendency to increase the number of telecommunications systems that use spread spectrum signals: binary phase-shift keying (BPSK) signals with linear frequency modulation, chirp signals and their combinations. Due to this, the anti-jamming of telecommunication systems is increased, the stealth mode of their functioning is provided.This tendency raises issues in the field of radio monitoring systems implementation. The use of spread-spectrum signals in telecommunication systems significantly reduces the spectral height of radio emissi
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Senatorov, L. A., V. V. Khvorenkov, and E. M. Zaytseva. "Impact Assessment of the Chirp Signal Frequency Change Rate on the Energy Secrecy and Noise Immunity." Vestnik IzhGTU imeni M.T. Kalashnikova 26, no. 2 (2023): 85–93. http://dx.doi.org/10.22213/2413-1172-2023-2-85-93.

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The article deals with the issues of noise immunity and energy secrecy of chirp signals. The purpose of the article is to study the rate of chirp signal frequency change and its influence on signal parameters, such as the envelope and spectrum of the signal, the degree of its energy secrecy and noise immunity. A study was made of the chirp signal frequency change rate influence on the amplitude spectrum of the transmitted signal. The study showed that an increase in the chirp signal frequency change rate leads to an increase in the slope control of the sawtooth voltage. In this case, the width
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Elgamel, Sherif. "Overlapped Chirp Signals’ Parameters Estimation in Radar ESM Station." Advances in Military Technology 17, no. 2 (2022): 439–55. http://dx.doi.org/10.3849/aimt.01754.

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Three consecutive algorithms are used to estimate the number of multiple overlapped pulsed received chirp signals and their parameters in the electronic support measures (ESM) station noisy receiving window at low signal to noise ratio. The first consecutive algorithm is used to estimate both the number of multiple overlapped received radar signals and the chirp rate of each one in the receiving window. Then, the second consecutive algorithm is used to minimize the additive noise and/or interference in the receiving window by filtering each received chirp signal in the corresponding fractional
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Ivanov Spassov, Sevdalin. "CHIRP FILTER JAMMING IMMUNITY RESEARCH." International Journal of Advanced Research 9, no. 01 (2021): 966–71. http://dx.doi.org/10.21474/ijar01/12377.

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The pulse compression technique uses a matched filter to extract an echo signal in the radars receiver. A model of a matched filter for a chirp signal was synthesized using the Simulink Tool of the MATLAB software. Pulse jamming and chirp jamming signals were feed to the input of the matched filter. The output signals were measured. The matched filters degree of suppression of these jamming signals was assessed. Conclusions were made about the jamming immunity of a radar operating with a Chirp matched filter.
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Afanasiev, D. S. "Digital Chirp Processing." LETI Transactions on Electrical Engineering & Computer Science 15, no. 4 (2022): 44–48. http://dx.doi.org/10.32603/2071-8985-2022-15-4-44-48.

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Algorithms for digital signal processing with linear frequency modulation LFM have been developed. A method for calibrating several chirp signals for their subsequent joint processing, an algorithm for shifting a signal in time, compensating for compression or stretching of a signal in time, and determining the start time of a signal are considered, digital signal processing.
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Sen, A. K., M. J. Kubek, and H. E. Shannon. "Analysis of Seizure EEG in Kindled Epileptic Rats." Computational and Mathematical Methods in Medicine 8, no. 4 (2007): 225–34. http://dx.doi.org/10.1080/17486700701528970.

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Using wavelet analysis we have detected the presence of chirps in seizure EEG signals recorded from kindled epileptic rats. Seizures were induced by electrical stimulation of the amygdala and the EEG signals recorded from the amygdala were analyzed using a continuous wavelet transform. A time–frequency representation of the wavelet power spectrum revealed that during seizure the EEG signal is characterized by a chirp-like waveform whose frequency changes with time from the onset of seizure to its completion. Similar chirp-like time–frequency profiles have been observed in newborn and adult pat
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Dissertations / Theses on the topic "Chirp signals"

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Samarah, Ashraf [Verfasser]. "A novel approach for generating digital chirp signals using FPGA technology for synthetic aperture radar applications / Ashraf Samarah." Siegen : Universitätsbibliothek der Universität Siegen, 2012. http://d-nb.info/1023156792/34.

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Whittaker, Philip. "On board signal analysis using novel analogue/digital signal processing techniques on low earth orbit mini/microsatellites." Thesis, University of Surrey, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.343484.

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Trzos, Michal. "Moderní metody borcení časové a kmitočtové osy zvukových signálů." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-233630.

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Tato práce se zabývá reprezentací nestacionárních harmonických signálů s časově proměnnými komponentami. Primárně je zaměřena na Harmonickou transformaci a jeji variantu se subkvadratickou výpočetní složitostí, Rychlou harmonickou transformaci. V této práci jsou prezentovány dva algoritmy využívající Rychlou harmonickou transformaci. Prvni používá jako metodu odhadu změny základního kmitočtu sbírané logaritmické spektrum a druhá používá metodu analýzy syntézou. Oba algoritmy jsou použity k analýze řečového segmentu pro porovnání vystupů. Nakonec je algoritmus využívající metody analýzy syntézo
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Rahman, M. S. "An investigation into spectral analysis using a chirp signal matched filter." Thesis, University of Manchester, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.312219.

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Kashyap, Aditya. "Computationally Efficient Methods for Detection and Localization of a Chirp Signal." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/87586.

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In this thesis, a computationally efficient method for detecting a whistle and capturing it using a 4 microphone array is proposed. Furthermore, methods are developed to efficiently process the data captured from all the microphones to estimate the direction of the sound source. The accuracy, the shortcoming and the constraints of the method proposed are also discussed. There is an emphasis placed on being computationally efficient so that the methods may be implemented on a low cost microcontroller and be used to provide a heading to an Unmanned Ground Vehicle.<br>MS<br>As humans, we rely on
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Shi, Rui. "Off-chip wire distribution and signal analysis." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2008. http://wwwlib.umi.com/cr/ucsd/fullcit?p3336647.

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Thesis (Ph. D.)--University of California, San Diego, 2008.<br>Title from first page of PDF file (viewed Jan. 6, 2009). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 91-93).
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Hollis, Timothy M. "Circuit and modeling solutions for high-speed chip-to-chip communication /." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd1721.pdf.

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Zoh, Brice. "An Underwater Channel Model and Chirp Slope Keying Modulation Scheme Performance." ScholarWorks@UNO, 2010. http://scholarworks.uno.edu/td/1263.

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Chirp-Slope Keying (CSK) is a new and innovative digital modulation scheme for underwater data transmission. The underwater environment brings up several challenges to the manufacturing and operation of communication systems. This thesis shows through analysis and simulations the effectiveness of Chirp-Slope Keying (CSK) in providing a satisfying performance in underwater communication. The experiment consists of modulating a chirp slope by binary numbers (representing our data). '0' is represented by a linear- down chirp and '1' is represented by a linear-up chirp. The received data is first
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Xia, Tian. "On-chip timing measurement /." View online ; access limited to URI, 2003. http://0-wwwlib.umi.com.helin.uri.edu/dissertations/dlnow/3112132.

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El, Sayed Atika. "Echographie ultrasonore à émission de type "Chirp" et traitement par analyse spectrale numérique." Lyon 1, 1987. http://www.theses.fr/1987LYO19018.

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Books on the topic "Chirp signals"

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Pantzaris, P. P. Digital generation of wideband chirp signals for channel characterisation. UMIST, 1993.

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Nikandrou, N. C. Digital generation of wideband chirp signals for channel characterisation. UMIST, 1996.

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Resler, R. S. An investigation into multiple access digital communication using chirp signals. UMIST, 1993.

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Frangou, Andreas. Fast spectral analysis using a chirp signal matches filter. UMIST, 1993.

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Fakhfakh, Mourad. Analog/RF and Mixed-Signal Circuit Systematic Design. Springer Berlin Heidelberg, 2013.

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(Firm), Knovel, and Institution of Engineering and Technology, eds. Test and diagnosis of analogue, mixed-signal and RF integrated circuits: The system on chip approach. Institution of Engineering and Technology, 2008.

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Sindile, Pia. Probing the dynamic behaviour of ridge waveguide multi-quantum well distributed feedback lasers: Fundamental picosecond studies of chirp-under large-signal modulation. National Library of Canada, 2001.

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Adaptive Techniques for Mixed Signal System on Chip. Springer US, 2006. http://dx.doi.org/10.1007/978-0-387-32155-4.

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Fayed, Ayman, and Mohammed Ismail. Adaptive Techniques for Mixed Signal System on Chip. Springer, 2010.

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Adaptive techniques for mixed signal system on chip. Springer, 2007.

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Book chapters on the topic "Chirp signals"

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Liu, Deliang, Xiwei Guo, Peng He, and Shen Zhao. "DOA Estimation for Wideband Chirp Signals." In Lecture Notes in Electrical Engineering. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3229-5_65.

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Pollakowski, M., H. Ermert, and L. von Bernus. "Pulsecompression in Pulse-Echo-Mode with Splitted Chirp Signals." In Acoustical Imaging. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2958-3_30.

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Guo, Baoyu, and Jiaqi Zhen. "Two-Dimensional Super-Resolution Direction Finding Algorithm for Wideband Chirp Signals." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19086-6_17.

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Yang, Wei, and Yaowu Shi. "Parameter Estimation of Chirp Signals Based on FRFT Under the Low SNR." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34528-9_57.

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Nandi, Swagata, and Debasis Kundu. "Chirp Signal Model." In Statistical Signal Processing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6280-8_9.

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Long, Teng, Yang Li, Weifeng Zhang, et al. "Chirp Signal Processing." In Wideband Radar. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-7561-5_3.

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Nandi, Swagata, and Debasis Kundu. "Random Amplitude Sinusoidal and Chirp Model." In Statistical Signal Processing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6280-8_10.

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Weik, Martin H. "signal processor chip." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_17394.

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Jackson, Geoffrey B., Saleel V. Awsare, Lawrence D. Engh, et al. "An Analog Non-Volatile Storage System for Audio Signals with Signal Conditioning for Mobile Communication Devices." In VLSI: Systems on a Chip. Springer US, 2000. http://dx.doi.org/10.1007/978-0-387-35498-9_2.

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Weik, Martin H. "digital signal processor chip." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_5058.

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Conference papers on the topic "Chirp signals"

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Aoyama, Koki, and Koichi Adachi. "Collection of Correlated Information from Superimposed Multiple Chirp Signals." In 2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE, 2024. https://doi.org/10.1109/apsipaasc63619.2025.10849298.

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Zeiringer, Thomas, Stefan L. Hölzl, and Martin Horn. "An Analytical Framework for Utilizing Chirp Signals in System Identification." In 2024 IEEE 63rd Conference on Decision and Control (CDC). IEEE, 2024. https://doi.org/10.1109/cdc56724.2024.10886700.

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Tenneti, Srinivas, and Khaled Harfoush. "High Resolution Position Tracking Using Low Frequency Linear Chirp Signals." In 2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC). IEEE, 2025. https://doi.org/10.1109/ccnc54725.2025.10976089.

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Rou, Hyeon Seok, Kein Yukiyoshi, Taku Mikuriya, Giuseppe Thadeu Freitas De Abreu, and Naoki Ishikawa. "AFDM Chirp-Permutation-Index Modulation with Quantum-Accelerated Codebook Design." In 2024 58th Asilomar Conference on Signals, Systems, and Computers. IEEE, 2024. https://doi.org/10.1109/ieeeconf60004.2024.10943004.

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Zheng, Lou, Bin Wang, and Shuoshuo Yang. "Recognition of Underwater Acoustic Chirp Imitation Whistle Communication Signals Based on Improved-ResNet." In 2024 OES China Ocean Acoustics (COA). IEEE, 2024. http://dx.doi.org/10.1109/coa58979.2024.10723551.

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Roy, Arijit, Sharmistha Sen, Harshal B. Nemade, and Ratnajit Bhattachariee. "Multiuser Communication Using Chirp Signals of Equal Chirp Rate." In 2018 Twenty Fourth National Conference on Communications (NCC). IEEE, 2018. http://dx.doi.org/10.1109/ncc.2018.8599902.

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Doncarli, Davy, and Tourneret. "Hierarchical Bayesian classification of chirp signals." In IEEE International Conference on Acoustics Speech and Signal Processing ICASSP-02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.1006055.

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Doncarli, Christian, Manuel Davy, and Jean Yves Tourneret. "Hierarchical Bayesian classification of chirp signals." In Proceedings of ICASSP '02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.5744914.

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Liang, R. M., and K. S. Arun. "Parameter estimation for superimposed chirp signals." In [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 1992. http://dx.doi.org/10.1109/icassp.1992.226517.

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Besson, O., M. Ghogho, and A. Swami. "On estimating random amplitude chirp signals." In 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258). IEEE, 1999. http://dx.doi.org/10.1109/icassp.1999.756284.

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Reports on the topic "Chirp signals"

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Candy, J. V. CHIRP-Like Signals: Estimation, Detection and Processing A Sequential Model-Based Approach. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1297653.

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Xu, Pengfei, and Yinjie Jia. Blind Source Separation for Chirp Signals Based on the Local Quadratic Regression Smoothing. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2020. http://dx.doi.org/10.7546/crabs.2020.11.13.

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Creech, Gregory, Tony Quach, Pompei Orlando, Vipul Patel, Aji Mattamana, and Scott Axtell. Mixed Signal Receiver-on-a-Chip RF Front-End Receiver-on-a-Chip. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada456359.

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Ih, Charles S., and Baohua Zhuang. Prototype of On-Chip Signal Processing for Handheld Chemical Agent Sensors. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada391858.

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Mazumder, Pinaki. Modeling, Simulation and Design of Plasmonic Interconnects for On-Chip Signal Processing. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada563578.

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Barg, Rivka, Erich Grotewold, and Yechiam Salts. Regulation of Tomato Fruit Development by Interacting MYB Proteins. United States Department of Agriculture, 2012. http://dx.doi.org/10.32747/2012.7592647.bard.

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Background to the topic: Early tomato fruit development is executed via extensive cell divisions followed by cell expansion concomitantly with endoreduplication. The signals involved in activating the different modes of growth during fruit development are still inadequately understood. Addressing this developmental process, we identified SlFSM1 as a gene expressed specifically during the cell-division dependent stages of fruit development. SlFSM1 is the founder of a class of small plant specific proteins containing a divergent SANT/MYB domain (Barg et al 2005). Before initiating this project,
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