Journal articles: 'Digital pulse processing'

1

Veiga, A., and C. M. Grunfeld. "Digital pulse processing in Mössbauer spectroscopy." Hyperfine Interactions 226, no. 1-3 (December 10, 2013): 693–700. http://dx.doi.org/10.1007/s10751-013-0983-6.

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Fazzi, A., and V. Varoli. "A digital spectrometer for 'optimum' pulse processing." IEEE Transactions on Nuclear Science 45, no. 3 (June 1998): 843–48. http://dx.doi.org/10.1109/23.682648.

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Jordanov, Valentin T. "Exponential signal synthesis in digital pulse processing." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 670 (April 2012): 18–24. http://dx.doi.org/10.1016/j.nima.2011.12.042.

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Bargholtz, Chr, E. Fumero, L. Mårtensson, and S. Wachtmeister. "Digital pulse-shape processing for CdTe detectors." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 471, no. 1-2 (September 2001): 290–92. http://dx.doi.org/10.1016/s0168-9002(01)01021-x.

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Nakhostin, M., K. Hitomi, K. Ishii, and Y. Kikuchi. "Digital pulse processing for planar TlBr detectors." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 615, no. 2 (April 2010): 242–44. http://dx.doi.org/10.1016/j.nima.2010.01.076.

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Di Fulvio, A., T. H. Shin, M. C. Hamel, and S. A. Pozzi. "Digital pulse processing for NaI(Tl) detectors." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 806 (January 2016): 169–74. http://dx.doi.org/10.1016/j.nima.2015.09.080.

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Song, Wen-Gang, Li-Jun Zhang, Jing Zhang, and Guan-Ying Wang. "Research on digital pulse processing techniques for silicon drift detector." Acta Physica Sinica 71, no. 1 (2022): 012903. http://dx.doi.org/10.7498/aps.71.20211062.

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Silicon drift detector (SDD) is a kind of high performance X-ray detector, which is widely used. The ray detection system based on SDD is composed of SDD device, preamplifier and pulse processing system. The now available pulse processing system has the problems of poor pulse pile-up rejection performance and being vulnerable to the parameter fluctuations of front-end system, which degrades the performance of detection system. A digital pulse processing system is proposed. In this system, analog-to-digital converter (ADC) directly samples the output signal of preamplifier, and transmits the data to the digital pulse processing platform for processing. According to the signal characteristics of SDD device and preamplifier, the influence of ADC sampling bits and sampling frequency on system performance is analyzed. Two optimized ADC sampling circuits are proposed to reduce energy resolution degradation induced by insufficient ADC sampling bits. The pulse shaping algorithm in the digital pulse processing system is studied. The results show that the shaping signal will not be distorted due to the parameter fluctuations of the front-end system, which proves the robustness of the digital pulse processing system. The digital pulse processing system is implemented and tested, and the correctness of the system is verified.

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Yani, Kalfika, Fiky Y. Suratman, and Koredianto Usman. "Design and Implementation Pulse Compression for S-Band Surveillance Radar." Journal of Measurements, Electronics, Communications, and Systems 7, no. 1 (December 30, 2020): 20. http://dx.doi.org/10.25124/jmecs.v7i1.2631.

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The radar air surveillance system consists of 4 main parts, there are antenna, RF front-end, radar signal processing, and radar data processing. Radar signal processing starts from the baseband to IF section. The radar waveform consists of two types of signal, there are continuous wave (CW) radar, and pulse compression radar [1]. Range resolution for a given radar can be significantly improved by using very short pulses. Pulse compression allows us to achieve the average transmitted power of a relatively long pulse, while obtaining the range resolution corresponding to a short pulse. Pulse compression have compression gain. With the same power, pulse compression radar can transmit signal further than CW radar. In the modern radar, waveform is implemented in digital platform. With digital platform, the radar waveform can optimize without develop the new hardware platform. Field Programmable Gate Array (FPGA) is the best platform to implemented radar signal processing, because FPGA have ability to work in high speed data rate and parallel processing. In this research, we design radar signal processing from baseband to IF using Xilinx ML-605 Virtex-6 platform which combined with FMC-150 high speed ADC/DAC.

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О.О., Луковенкова,, Мищенко, М.A., Сенкевич, Ю.И., and Щербина, А.О. "Modern methods of processing and analysis of geophysical pulse signals." Вестник КРАУНЦ. Физико-математические науки, no. 4 (December 22, 2022): 120–36. http://dx.doi.org/10.26117/2079-6641-2022-41-4-120-136.

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В Институте космофизических исследований и распространения радиоволн выполняются исследования различных физических полей. Часто регистрируемые в ходе таких исследований сигналы имеют импульсную природу, т. е. представляют собой последовательности импульсов. В настоящей работе описаны современные методы цифровой обработки сигналов, применяющиеся для анализа импульсных геофизических сигналов. Для поиска фрагментов сигнала, содержащих аномалии, применяется цифровая фильтрация по семи частотным диапазонам и последующее усреднение на интервалах длительностью 1 с. Для выделения отдельных импульсов в условиях постоянно присутствующего нестационарного шума используется адаптивная пороговая схема. Для шумоподавления и выделения информативной составляющей сигнала применяется вейвлет-обработка. Для анализа частотно-временной структуры импульсов авторы предлагают использовать метод разреженной аппроксимации. Для анализа особенностей формы импульсов используется преобразование импульса в бинарную матрицу, однозначно определяющую форму импульса. The studies of various physical fields are conducted at Institute of cosmophysical research and radio wave propagation. The signals recorded during such studies often have pulse nature, i. e., they are sequences of pulses. The paper observes modern methods of digital signal processing which can be used for the analysis of geophysical pulse signals. To search for signal fragments which contain anomalies, the digital filtering within seven frequency bands and further averaging over 1-second intervals are proposed. To isolate single pulses under conditions of permanent background noise, the adaptive threshold scheme is used. To remove noise and to separate the informal part of the signals, wavelet thresholding is applied. To analyse the time- frequency content of pulses, the authors offer sparse approximation method. To study peculiarities of pulse shape, the transformation of a pulse into the binary matrix which uniquely determines the pulse form.

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Warburton, W. K., M. Momayezi, B. Hubbard-Nelson, and W. Skulski. "Digital pulse processing: new possibilities in nuclear spectroscopy." Applied Radiation and Isotopes 53, no. 4-5 (November 2000): 913–20. http://dx.doi.org/10.1016/s0969-8043(00)00247-5.

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Grzywacz, Robert. "Applications of digital pulse processing in nuclear spectroscopy." Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 204 (May 2003): 649–59. http://dx.doi.org/10.1016/s0168-583x(02)02146-8.

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KAMIYA, Takeshi. "Digital optical signal processing using ultrashort optical pulse." Review of Laser Engineering 15, no. 11 (1987): 1020–25. http://dx.doi.org/10.2184/lsj.15.1020.

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Zhang, Jianfeng, Zhen Yang, and Yonghua Li. "Research on Gamma Spectroscopy System While Drilling Based on DSP and FPGA." Journal of Physics: Conference Series 2418, no. 1 (February 1, 2023): 012024. http://dx.doi.org/10.1088/1742-6596/2418/1/012024.

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Abstract The traditional gamma energy spectrum measurement system performs filtering, shaping, amplification, baseline recovery, stacking discrimination, peak hold, and low-speed ADC sampling on the pulse signal output by the gamma-ray detector. It generates energy spectrum curves. There are problems such as large dead time and pulse signal accumulation. A high-speed digital processing chip (FPGA) and a high-speed ADC are used to perform full pulse sampling on the amplified ray pulses directly. The high-speed digital processing chip (DSP) directly realizes the pulse signal recognition, which remarkably improves the efficiency of signal acquisition and is very suitable for developing the drill gamma spectroscopy system. Scholars have studied the pulse digital Gaussian shaping algorithm and the trapezoidal shaping algorithm in gamma-spectroscopy while drilling to explore this phenomenon. In this case, a gamma-ray spectrum measurement while drilling system based on DSP and FPGA is designed. It realizes the functions of full-pulse high-speed sampling and energy spectrum curve generation for the narrow pulse signal input to the detector. It also converts the energy spectrum curve. It is transmitted to the host computer through the serial port for energy spectrum analysis.

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Lv, Guo Yun, and Shui Xian Hu. "Research on Vacuum Consumable Arc Remelting Furnace Control System with Drop Short Pulses Testing." Advanced Materials Research 605-607 (December 2012): 1670–74. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.1670.

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Stable and Reliable automatic control system of Vacuum Consumable Arc Remelting (VAR) furnace is the key to smelt successfully special alloy metal and high temperature alloy metal, which is related to special properties of remelting ingot directly. This paper makes a deep study for drop short pulse testing and controlling system, and digital signal processing is used to obtain drop short pulse value with different frequency ranges. Firstly, basic theory analysis of drop short pulse measuring and controlling is researched. Secondly, high-speed digital signal processing technology is adopted to sample furnace voltage signal real-timely, band pass filter group is designed directly to process and calculate the amount of drop short pulses in different frequency ranges, Finally, the relationship between drop short pulse frequency and special alloy materials is analyzed, fuzzy PID control method is used to adjust electrode gap and control arc length. Field experiment results show the effectiveness of the whole drop short pulse testing and controlling system.

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Yu, Yan Xin, Chun Yang Wang, Yu Chen, and Ke Yang. "Design of Digital Pulse Compression System Based on FPGA." Advanced Materials Research 1049-1050 (October 2014): 1718–21. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.1718.

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Pulse compression technology is one of the key technologies in the field of modern radar signal processing, can effectively solve the contradiction between action distance and resolution. In this paper, a radar digital pulse compression system is designed and implemented based on FPGA with linear frequency modulated signal. The digital pulse compression module is designed using FFT IP core which can be reused in different periods of DPC, respectively performing FFT and IFFT calculation, so that the hardware consumption is saved significantly. Therefore, compared with other systems, the system designed in this paper has the characters of fast processing speed, high degree of modularity, real-time processing and short development cycle.

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Montemont, G., C. Moulin, J. Isard, and L. Verger. "A digital pulse processing system dedicated to CdZnTe detectors." IEEE Transactions on Nuclear Science 52, no. 5 (October 2005): 2017–22. http://dx.doi.org/10.1109/tns.2005.856860.

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Lv, Guo Yun, and Shui Xian Hu. "Research on Vacuum Consumable Arc Remelting Furnace Drop Testing System for Thyristor Power Supply." Applied Mechanics and Materials 268-270 (December 2012): 1494–98. http://dx.doi.org/10.4028/www.scientific.net/amm.268-270.1494.

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Stable and reliable automatic control system of Vacuum Consumable Arc Remelting (VAR) furnace with thyristor power supply is the key to smelt successfully special alloy metal and high temperature alloy metal, which is related to special properties of remelting ingot directly, however, it is key problem to test the drop pulse for thyristor supply. This paper makes a deep study for drop short pulse testing system on AVR with thyristor power supply, and digital signal processing is used to obtain drop short pulse value with different frequency ranges. According to the specification of thyristor power supply, firstly, basic theory analysis of drop short pulse measuring is researched. Secondly, high-speed digital signal processing technology is adopted to sample furnace voltage signal real-timely, trap filter group is designed to remove the multiple order harmonic, and band pass filter group is designed directly to process and calculate the amount of drop short pulses in different frequency ranges, finally, the material parameters which impact on drop short frequency. Field experiment results show the effectiveness of the whole drop short pulse testing system.

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Sakamoto, Akira, Hiromi Okamoto, and Mitsuo Tasumi. "Observation of Picosecond Transient Raman Spectra by Asynchronous Fourier Transform Raman Spectroscopy." Applied Spectroscopy 52, no. 1 (January 1998): 76–81. http://dx.doi.org/10.1366/0003702981942357.

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Asynchronous Fourier transform (FT) Raman spectroscopy with 100 picosecond time resolution has been developed. A signal-processing assembly required for time-resolved and transient Raman measurements consists of a picosecond Nd:YLF laser system, a gate circuit, and a low-pass filter, and it can be attached to any conventional continuous-scan FT-Raman spectrophotometer. The principle of signal processing employed in this method is almost the same as that of asynchronous pulsed-laser-excited FT-Raman spectroscopy. This method does not require synchronization between Raman excitation by probe laser pulses and sampling by the analog-to-digital converter. Transient Raman spectra have been obtained from the first excited singlet state of three anthracene derivatives in cyclohexane solutions and photoexcited poly( p-phenylenevinylene) [(C6H4CH=CH) n] by using 351 nm light (pulse width ã 70 ps) for photoexcitation and 1053 nm light (pulse width ã 100 ps) for Raman excitation.

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Ma, Y., W.-J. Fischer, J. Henniger, D. Weinberger, and T. Kormoll. "System noise of a digital pulse processing module for nuclear instrumentation." EPJ Web of Conferences 225 (2020): 01012. http://dx.doi.org/10.1051/epjconf/202022501012.

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Digital pulse processing finds a widespeed use in nuclear instrumentation. This work presents a digital pulse processing (DPP) module based on an FPGA and a 16-bit 125 MHz ADC and analyses the system noise distribution by acquired digital data using this system. A moving average filter is utilized to suppress the system noise of the DPP module. Furthermore, digital trapezoidal filter is applied for the use with a charge sensitive preamplifier with High Purity Germanium (HPGe) detector. The energy spectrum and corresponding resolution are demonstrated with a scintillation and semiconductor detector.

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Abbene, Leonardo, and Gaetano Gerardi. "High-rate dead-time corrections in a general purpose digital pulse processing system." Journal of Synchrotron Radiation 22, no. 5 (August 7, 2015): 1190–201. http://dx.doi.org/10.1107/s1600577515013776.

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Dead-time losses are well recognized and studied drawbacks in counting and spectroscopic systems. In this work the abilities on dead-time correction of a real-time digital pulse processing (DPP) system for high-rate high-resolution radiation measurements are presented. The DPP system, through a fast and slow analysis of the output waveform from radiation detectors, is able to perform multi-parameter analysis (arrival time, pulse width, pulse height, pulse shape,etc.) at high input counting rates (ICRs), allowing accurate counting loss corrections even for variable or transient radiations. The fast analysis is used to obtain both the ICR and energy spectra with high throughput, while the slow analysis is used to obtain high-resolution energy spectra. A complete characterization of the counting capabilities, through both theoretical and experimental approaches, was performed. The dead-time modeling, the throughput curves, the experimental time-interval distributions (TIDs) and the counting uncertainty of the recorded events of both the fast and the slow channels, measured with a planar CdTe (cadmium telluride) detector, will be presented. The throughput formula of a series of two types of dead-times is also derived. The results of dead-time corrections, performed through different methods, will be reported and discussed, pointing out the error on ICR estimation and the simplicity of the procedure. Accurate ICR estimations (nonlinearity < 0.5%) were performed by using the time widths and the TIDs (using 10 ns time bin width) of the detected pulses up to 2.2 Mcps. The digital system allows, after a simple parameter setting, different and sophisticated procedures for dead-time correction, traditionally implemented in complex/dedicated systems and time-consuming set-ups.

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Zhang, Guoqing, Xiuxiu Gao, and Lina Liu. "Influences of signal processing methods on photon number resolving capability of multi-pixel photon counter." International Journal of Quantum Information 14, no. 08 (December 2016): 1650046. http://dx.doi.org/10.1142/s0219749916500465.

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Influences of signal processing methods on photon number resolving capability of multi-pixel photon counter (MPPC) were studied in this work. Results show that the photon number resolving (PNR) capability of MPPC can be greatly improved by waveform integration of the avalanche pulses of MPPC, relative to the histograms of the output pulse amplitudes. Up to 47 photon-equivalent peaks can be distinguished in the PNR spectrum with pulsed light repetition frequency of 80[Formula: see text]MHz and 5[Formula: see text]ns time gate. The analog to digital converter (ADC) in oscilloscope with more bit resolution may be beneficial for the PNR of MPPC.

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Hiorns, R. E., and M. B. Sandler. "Power digital to analogue conversion using pulse width modulation and digital signal processing." IEE Proceedings G Circuits, Devices and Systems 140, no. 5 (1993): 329. http://dx.doi.org/10.1049/ip-g-2.1993.0055.

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Laricchiuta, Grazia, Wilfried Vandervorst, Ivan Zyulkov, Silvia Armini, and Johan Meersschaut. "High sensitivity Rutherford backscattering spectrometry using multidetector digital pulse processing." Journal of Vacuum Science & Technology A: Vacuum, Surfaces, and Films 36, no. 2 (March 2018): 02D407. http://dx.doi.org/10.1116/1.5016033.

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Jordanov, Valentin T. "Unfolding-synthesis technique for digital pulse processing. Part 1: Unfolding." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 805 (January 2016): 63–71. http://dx.doi.org/10.1016/j.nima.2015.07.040.

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Jordanov, Valentin T., and Kalina V. Jordanova. "Quantization Effects in Radiation Spectroscopy Based on Digital Pulse Processing." IEEE Transactions on Nuclear Science 59, no. 4 (August 2012): 1282–88. http://dx.doi.org/10.1109/tns.2011.2178038.

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Lotfi, Y., S. A. Moussavi-Zarandi, N. Ghal-Eh, and E. Bayat. "Optimization of pulse processing parameters for digital neutron-gamma discrimination." Radiation Physics and Chemistry 164 (November 2019): 108346. http://dx.doi.org/10.1016/j.radphyschem.2019.108346.

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Makarenko, A. S., and S. M. Litvintsev. "Noise-immunity processing of digital multilevel pulse-amplitude modulation signals." Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, no. 63 (December 30, 2015): 64–75. http://dx.doi.org/10.20535/radap.2015.63.64-75.

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Cardoso, J. M., J. B. Simoes, C. M. B. A. Correia, A. Combo, R. Pereira, J. Sousa, N. Cruz, P. Carvalho, and C. A. F. Varandas. "A high performance reconfigurable hardware platform for digital pulse processing." IEEE Transactions on Nuclear Science 51, no. 3 (June 2004): 921–25. http://dx.doi.org/10.1109/tns.2004.829484.

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Davey, P. J., T. Donnelly, and D. J. Mapps. "Pulse slimming in magnetic recording using digital signal processing techniques." Microprocessing and Microprogramming 37, no. 1-5 (January 1993): 73–76. http://dx.doi.org/10.1016/0165-6074(93)90019-h.

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Hammad, M. E., H. Kasban, R. M. Fikry, Moawad I. Dessouky, O. Zahran, Sayed M. S. Elaraby, and Fathi E. Abd El-Samie. "Digital pulse processing algorithm for neutron and gamma rays discrimination." Analog Integrated Circuits and Signal Processing 101, no. 3 (August 5, 2019): 475–87. http://dx.doi.org/10.1007/s10470-019-01498-8.

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Casu, Mario R., Mariagrazia Graziano, and Maurizio Zamboni. "A Fully Differential Digital CMOS UWB Pulse Generator." Circuits, Systems & Signal Processing 28, no. 5 (April 8, 2009): 649–64. http://dx.doi.org/10.1007/s00034-009-9101-z.

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Kelleci, Burak. "Pulse Suppression Technique for Mitigating Digital Clock Noise." Circuits, Systems, and Signal Processing 33, no. 5 (November 6, 2013): 1325–36. http://dx.doi.org/10.1007/s00034-013-9697-x.

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Aridgides, A., and D. Morgan. "Effects of input quantization in floating-point digital pulse compression." IEEE Transactions on Acoustics, Speech, and Signal Processing 33, no. 2 (April 1985): 434–35. http://dx.doi.org/10.1109/tassp.1985.1164561.

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Xin, Qin, Zhihong Jiang, Pu Cheng, and Mi He. "Signal Processing for Digital Beamforming FMCW SAR." Mathematical Problems in Engineering 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/859890.

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According to the limitations of single channel Frequency Modulation Continuous Wave (FMCW) Synthetic Aperture Radar (SAR), Digital Beamforming (DBF) technology is introduced to improve system performance. Combined with multiple receive apertures, DBF FMCW SAR can obtain high resolution in low pulse repetition frequency, which can increase the processing gain and decrease the sampling frequency. The received signal model of DBF FMCW SAR is derived. The continuous antenna motion which is the main characteristic of FMCW SAR received signal is taken into account in the whole signal processing. The detailed imaging diagram of DBF FMCW SAR is given. A reference system is also demonstrated in the paper by comparing with a single channel FMCW SAR. The validity of the presented diagram is demonstrated with a point target simulation results.

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Wu, Junlong, and Xianguo Tuo. "Improvement in Trapezoidal Pulse Shaping Pile-Up in Nuclear Signal Processing." Electronics 11, no. 11 (May 31, 2022): 1745. http://dx.doi.org/10.3390/electronics11111745.

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In digital nuclear spectroscopy, trapezoidal shaping is widely used. Compared with traditional CR-RC4 semi-Gaussian shaping, it has a better energy resolution and higher counting rates, but does not void the pulse pile-up in the case of extreme counting rates. In this paper, a new recursive algorithm is proposed that can improve the anti-pile-up ability, and is easy to implement in any DSP-based processor that is used in any digital pulse shaping filter section. The complete deduction and simulation are presented in this paper.

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Sturtevant, Blake, Dipen N. Sinha, and Cristian Pantea. "An ultrafast broadband digital signal processing approach to pulse echo measurements." Journal of the Acoustical Society of America 143, no. 3 (March 2018): 1960. http://dx.doi.org/10.1121/1.5036443.

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Georgiev, A., and W. Gast. "Digital pulse processing in high resolution, high throughput, gamma-ray spectroscopy." IEEE Transactions on Nuclear Science 40, no. 4 (August 1993): 770–79. http://dx.doi.org/10.1109/23.256659.

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Simoes, J. B., P. C. P. S. Simoes, and C. M. B. A. Gorreia. "Nuclear spectroscopy pulse height analysis based on digital signal processing techniques." IEEE Transactions on Nuclear Science 42, no. 4 (1995): 700–704. http://dx.doi.org/10.1109/23.467890.

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Kamleitner, J., S. Coda, S. Gnesin, and Ph Marmillod. "Comparative analysis of digital pulse processing methods at high count rates." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 736 (February 2014): 88–98. http://dx.doi.org/10.1016/j.nima.2013.10.023.

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Simões, P. C. P. S., J. M. F. dos Santos, and C. A. N. Conde. "Driftless gas proportional scintillation counter pulse analysis using digital processing techniques." X-Ray Spectrometry 30, no. 5 (September 2001): 342–47. http://dx.doi.org/10.1002/xrs.508.

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Zubarev, Petr, Svetlana Ivanenko, Alina Ivanova, Andrey Kvashnin, Aleksandr Kotelnikov, Ekaterina Puryga, Aleksandr Khilchenko, and Vasiliy Shvyrev. "Digital Analyzer of Diamond Detector Signals for ITER Vertical Neutron Camera." Siberian Journal of Physics 9, no. 3 (October 1, 2014): 11–19. http://dx.doi.org/10.54362/1818-7919-2014-9-3-11-19.

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In this paper, digital analyzer of diamond detector signals of ITER Vertical Neutron Camera (ITER VNC) are described, which uses digital signal processing. Digital analyzer of pulse signals is based on ADC12500PXIe (two channels, 12 bit, 500 MHz, PXI Express), which satisfies the ITER VNC requirements. In this paper, the architecture of digital signal processing unit is given. Trapezoidal digital shaper for pile-up separation and energy spectrum unit are described. In addition, structure of digital analyzer software levels are considered

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O'Reilly, J. J., and Wang Yichao. "Line code design for digital pulse-position modulation." IEE Proceedings F Communications, Radar and Signal Processing 132, no. 6 (1985): 441. http://dx.doi.org/10.1049/ip-f-1.1985.0084.

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Binan Yang. "Digital beamforming of a linear FM pulse array." IEE Proceedings F Communications, Radar and Signal Processing 134, no. 7 (1987): 709. http://dx.doi.org/10.1049/ip-f-1.1987.0120.

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Wang, Ya Fei, Bing Qi Liu, and Xu Cao. "Pile-Up Pulse Separation Technology Research Based on MATLAB." Advanced Materials Research 1049-1050 (October 2014): 1287–91. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.1287.

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The way of energy spectrum acquisition aimed at nuclear signal, putting forward a kind of pile-up pulse separation technology research based on MATLAB. It takes MATLAB as processing platform, adopts graphical user interface (GUI) as design tools, establishs pile-up pulse signal simulation module, in order for nuclear accumulation of signal pulse which can be used in many cases to provide initial data for further research. Through the proposed platform, researching on the way and theory of pile-up pulse separation, and programming to achieve processing method, combining the separation results from different pile up pulse cases and to make an analysis, giving the best processing method and suggestion on treatment scheme, so as to provide basis for the improvement of digital nuclear spectrum system.

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Fernandes, A. M., R. C. Pereira, J. Sousa, A. Neto, P. Carvalho, A. J. N. Batista, B. B. Carvalho, C. A. F. Varandas, M. Tardocchi, and G. Gorini. "Parallel processing method for high-speed real time digital pulse processing for gamma-ray spectroscopy." Fusion Engineering and Design 85, no. 3-4 (July 2010): 308–12. http://dx.doi.org/10.1016/j.fusengdes.2010.01.004.

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Klilou, Abdessamad, and Assia Arsalane. "Parallel implementation of pulse compression method on a multi-core digital signal processor." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 6 (December 1, 2020): 6541. http://dx.doi.org/10.11591/ijece.v10i6.pp6541-6548.

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Pulse compression algorithm is widely used in radar applications. It requires a huge processing power in order to be executed in real time. Therefore, its processing must be distributed along multiple processing units. The present paper proposes a real time platform based on the multi-core digital signal processor (DSP) C6678 from Texas Instruments (TI). The objective of this paper is the optimization of the parallel implementation of pulse compression algorithm over the eight cores of the C6678 DSP. Two parallelization approaches were implemented. The first approach is based on the open multi processing (OpenMP) programming interface, which is a software interface that helps to execute different sections of a program on a multi core processor. The second approach is an optimized method that we have proposed in order to distribute the processing and to synchronize the eight cores of the C6678 DSP. The proposed method gives the best performance. Indeed, a parallel efficiency of 94% was obtained when the eight cores were activated.

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Borawake, Prof Dr M. P. "Audio Signal Processing." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (June 30, 2022): 1495–96. http://dx.doi.org/10.22214/ijraset.2022.44063.

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Abstract: Audio Signal Processing is also known as Digital Analog Conversion (DAC). Sound waves are the most common example of longitudinal waves. The speed of sound waves is a particular medium depends on the properties of that temperature and the medium. Sound waves travel through air when the air elements vibrate to produce changes in pressure and density along the direction of the wave’s motion. It transforms the Analog Signal into Digital Signals, and then converted Digital Signals is sent to the Devices. Which can be used in Various things., Such as audio signal, RADAR, speed processing, voice recognition, entertainment industry, and to find defected in machines using audio signals or frequencies. The signals pay important role in our day-to-day communication, perception of environment, and entertainment. A joint time-frequency (TF) approach would be better choice to effectively process this signal. The theory of signal processing and its application to audio was largely developed at Bell Labs in the mid-20th century. Claude Shannon and Harry Nyquist’s early work on communication theory and pulse-code modulation (PCM) laid the foundations for the field.

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Zeinalov, Shakir, Olga Sidorova, Pavel Sedyshev, Valery Shvetsov, Youngseok Lee, and Uk-Won Nam. "Thermal neutron intensity measurement with fission chamber in current, pulse and Campbell modes." EPJ Web of Conferences 231 (2020): 05009. http://dx.doi.org/10.1051/epjconf/202023105009.

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In thermal nuclear reactors, most of the power is generated by thermal neutron induced fission. Therefore, fission chambers with targets that respond directly to slow neutrons are of great interest for thermal neutron flux measurements due to relatively low sensitivity to gamma radiation. However, the extreme conditions associated with experiments at very low cross section demand highly possible thermal neutron flux, leading often to substantial design changes. In this paper we report design of a fission chamber for wide range (from 10 to 1012 n/cm2 sec) measurement of thermal neutron flux. Test experiments were performed at the first beam of IBR2 pulsed reactor using digital pulse processing (DPP) technique with modern waveform digitizers (WFD). The neutron pulses detected by the fission chamber in each burst (5 Hz repetition rate) of the reactor were digitized and recorded to PC memory for further on-line and off-line analysis. New method is suggested to make link between the pulse counting, the current mode and the Campbell technique.

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Shah, Hardik A., Satish K. Shah, and Rakesh M. Patel. "Signal processing analysis of DSP based PWM generation for high switching frequency voltage source inverter." World Journal of Engineering 12, no. 5 (October 1, 2015): 499–506. http://dx.doi.org/10.1260/1708-5284.12.5.499.

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This paper presents real time hardware implementation of DSP based 180 degree control algorithm and MATLAB SIMULINK based software Implementation for 3-phase 4-leg IGBT based voltage source inverter. Triggering pulses generated using Texas Instruments TMS 320F28335 DSP controller and that triggers the 6 IGBTs of Voltage source inverter. Results of pulse generated using DSP and output of the Voltage source inverter were captured using Digital Storage Oscilloscope. FFT analysis for output signal of software and hardware implementation presented with the analysis.

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B.P., Gbaranwi, and Kabari L.G. "A Comparative Analysis of Image Compression using PCM and DPCM." British Journal of Computer, Networking and Information Technology 4, no. 1 (July 20, 2021): 60–67. http://dx.doi.org/10.52589/bjcnit-kyur6rdw.

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The quality of the signal is essential in digital communication and signal processing. The transmission channel is also important. Modulation is used for effectively transmission of signal. There exist several types of modulation techniques. One of such is the pulse code modulation (PCM). The performance of PCM is however affected by quantization error and noise in the transmission channel, which affects the quality of the output. Against this backdrop, this paper presents the use of differential pulse code modulation (DPCM) so as to address the limitation of pulse code modulation. The simulation environment is MATLAB 2018a. The MATLAB Simulink is used to design the PCM and DPCM systems using appropriate digital processing blocks. The DPCM system shows a significant improvement in terms of error reduction and quality of output.

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Journal articles on the topic 'Digital pulse processing'

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