Academic literature on the topic 'Telemetry Data Processing and Display'

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Journal articles on the topic "Telemetry Data Processing and Display"

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Suhermanto. "PENGUJIAN MODUL PENGOLAH DATA TELEMETRI LAPAN-A3/IPB UNTUK MENGHASILKAN PRODUK LEVEL-0 (THE TESTOF LAPAN-A3/IPB TELEMETRY DATA PROCESSOR MODULE TO PRODUCE LEVEL-0 PRODUCT)." Jurnal Teknologi Dirgantara 14, no. 2 (2017): 125. http://dx.doi.org/10.30536/j.jtd.2016.v14.a2510.

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Telemetry data processing modulis a software for converting the LAPAN-A3/IPB telemetry data into raw sensor data (level-0 product). Telemetry data output from the High Data Rate Modulator-demodulator (HDRM) becomes an input for telemetry data processor, which has entered its setup parameter. The objective of the research is to test LAPAN-A3/IPB telemetry data processor implementation. The development and processing of telemetry data have been performed on a desktop computer that are divided into two stages, data decoding and data decomposition.The performance of the software has been tested using eight samples of raw-data, consisted of multi-spectral and camera matrix data obtained before and after the launch of the satellite. The test results showed, there were no missing telemetry data frames and damaged codeword in the process of decoding.Data on missing multi-spectral lines and data on camera matrix frame lost in the process of decomposition were not found. It was concluded that the overall performance of the test result was that the system used was not able todecode, decompose, display quick-look LISA, or extractcamera matrix data in real-time.To perform as required, the computer performance needed to be increased up to 8 times. From this process, approximately 92% of CPU time were used for decoding and only about 8% were for the decomposition, extraction of data LISA, or extraction of data camera matrix.Improvement attempt by changing the word-size of 32bit processors into 64bit, did not give significant results and was only able to improve the processing speed of 8.1%. Abstrak:Modul pengolah data telemetri adalah softwareuntuk mengubah data telemetri LAPAN-A3/IPB menjadi data sensor yang masih mentah (produk level-0). Data telemetri keluaran dari perangkatHigh Data Rate Modulator-Demodulator (HDRM)menjadi masukan bagi pengolah data telemetri, yang parameter set-upnyatelah dimasukkan. Tujuan penelitian ini adalah untuk menguji implementasi pengolahan data telemetri satelit LAPAN-A3/IPB. Pembangunan dan pengolahan data telemetri telah dilakukan di komputer desktop yang dibagi dalam dua tahap, yaitu pendekodean data dan dekomposisi data. Unjuk kerja software telah diuji menggunakan delapan sampel raw-data, terdiri atas data multi-spektral dan matrik kamera yang diperoleh sebelum dan sesudah peluncuran satelit. Hasil uji memperlihatkan, tidak ditemukan frame data telemetri yang hilang dan codeword yang rusakpada proses pendekodean data. Juga tidak ditemukan data pada larikmulti-spektralyang hilang maupun data pada matrik kamera yang hilang pada proses dekomposisi. Dari uji kinerja secara keseluruhan didapat hasil bahwa sistem yang digunakan tidak mampu melakukan dekoda, dekomposisi, menampilkan quick-lookLISA,atau ekstraksi data matrik kamera secara real-time.Perlupeningkatan kinerja komputer hingga 8 kali lebih baik.Dari proses tersebut, sekitar 92% CPU time dipakai untuk pendekodean data dan hanya sekitar 8% untuk dekomposisi, ekstraksi data LISA,atau ektraksi data matrik kamera. Upaya perbaikan yang dilakukan dengan mengubah word-size prosesor dari 32bit menjadi 64bit hasilnya tidak signifikan dan hanya mampu memperbaiki kecepatan proses 8,1%.
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Fadlie Sabri, Sharizal, Nor'Asnilawati Salleh, and Elena Woo Lai Leng. "Designing and Developing a Ground Operation Software for Picosatellite Operation and Data Processing." Applied Mechanics and Materials 225 (November 2012): 475–80. http://dx.doi.org/10.4028/www.scientific.net/amm.225.475.

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Ground operation software (GOS) plays an important role in satellite operations. The software need to be able to retrieve, decode, display and archive the telemetry data as well as send command to control the satellite. These are mandatory functions which will allow satellite operators to communicate and command the satellite in ensuring its mission is executed as designed. Researchers in Agensi Angkasa Negara (ANGKASA) are currently developing a picosatellite as a research project using various Commercial Off-The-Shelf (COTS) components. Even the software algorithm and coding are being developed from scratch. Compared to bigger sized satellites, the picosatellite has a much simpler architecture, modules and mission, thus the required functions on GOS are greatly reduced. The communication protocol used is unique yet simple, which means the GOS will not require any additional modules to understand and interpret either the telemetry data or payload data received as it is already in an easy-to-understand format. GOS was developed using .Net platform with several modules for easy maintenance and expansion of the system. Closed-loop simulation was applied to test the functionalities of GOS as well as for debugging purposes. Results of the simulation are presented at the end of the paper. In conclusion, the GOS may require a few upgrades due to a change of hardware. However, it will still remain as the main reference for future development of GOS.
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Anggara Trisna Nugraha and Dadang Priyambodo. "Development of Rocket Telemetry in Chamber Gas Pressure Monitoring with the MPXV7002DP Gas Pressure Sensor." Journal of Electronics, Electromedical Engineering, and Medical Informatics 2, no. 3 (2020): 103–7. http://dx.doi.org/10.35882/jeeemi.v2i3.3.

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Telemetry is a process used to measure or record a physical quantity at a location far from the center of processing the measurement results. Telemetry systems on unmanned aerial vehicles can provide information such as position, altitude, direction, and status of the vehicle itself in real time when the air vehicle is operated. A rocket is a flying vehicle that moves by getting a boost through the combustion reaction that occurs in the rocket. Implementation of the strain gauge sensor through the MPXV7002DP gas pressure sensor, the amount of gas pressure is obtained at the time of combustion of the rocket and sent via wi-fi telemetry Pixhawk 447 MHz, the data on a laptop can be shown the gas pressure generated in the rocket chamber through the display of the Borland Delphi program with a distance of 150 m.
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Dang, Chi Van, Khoat Duc Nguyen, Hieu Dao, and Luc The Nguyen. "Apply Matlab in Thingspeak Server to build the system measure and analyze data using IoT Gateway technology." Journal of Mining and Earth Sciences 61, no. 5 (2020): 88–95. http://dx.doi.org/10.46326/jmes.2020.61(5).10.

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ThingSpeak is an open Internet of Things (IoT) platform with MATLAB® analytics that enables the collection and storage of sensor data in the cloud and development of IoT applications. The ThingSpeak IoT platform provides applications that allow data analysis and visualization in MATLAB. With MATLAB® analysis in ThingSpeak, MATLAB code can be executed to perform preprocessing, visualization, filtering, data analysis, and for object modeling applications. This paper presents researches on Matlab application in Thingspeak Server to build data measurement and analysis system using IoT LoRa Gateway technology. The research contents include suggestions on device configuration for the system, programming the Arduino board and LoRa Shield to collect measurement data from sensor nodes and communicate by LoRa waves to the LoRa Gateway. The LoRa Gateway will send data to Web Server based on Thingspeak's Cloud Service platform using MQTT (Message Queing Telemetry Transport). Thingspeak's Matlab interface will display online and store values from the sensor nodes. The system is integrated and tested on temperature and humidity monitoring model, evaluated for the results with the required accuracy. The research results allow the deployment of IoT Gateway system in practice for online measurement, analysis and data processing applications that require the use of algorithms and code generation in Matlab using Web Server.
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Moreno, Carlos, Raúl Aquino, José Ibarreche, et al. "RiverCore: IoT Device for River Water Level Monitoring over Cellular Communications." Sensors 19, no. 1 (2019): 127. http://dx.doi.org/10.3390/s19010127.

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Flooding is one of the most frequent and costly natural disasters affecting mankind. However, implementing Internet of Things (IoT) technology to monitor river behavior may help mitigate or prevent future disasters. This article outlines the hardware development of an IoT system (RiverCore) and defines an application scenario in a specific hydrological region of the state of Colima (Mexico), highlighting the characteristics of data acquisition and data processing used. Both fixed position and moving drifter node systems are described along with web-based data acquisition platform developments integrated with IoT techniques to retrieve data through 3G cellular networks. The developed architecture uses the Message Queuing Telemetry Transport (MQTT) protocol, along with encryption and security mechanisms, to send real-time data packages from fixed nodes to a server that stores retrieved data in a non-relational database. From this, data can be accessed and displayed through different customizable queries and graphical representations, allowing future use in flood analysis and prediction systems. All of these features are presented along with graphical evidence of the deployment of the different devices and of several cellular communication and on-site data acquisition tests.
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He, Chun Hui, Shi Bin Su, and Kai Da Huang. "An Improved Method on Telemetry Data Processing." Applied Mechanics and Materials 610 (August 2014): 454–56. http://dx.doi.org/10.4028/www.scientific.net/amm.610.454.

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In reference to telemetry data processing, an improved method is presented, which makes use of telemetry data that the conventional method abandons. Qualitative analysis is made to show the advantage of the improved method. Simulation results indicate that the improved method can obtain 1~3dB gain, better than the conventional method.
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Varaprasad, R. "Telemetry Data Processing Methodology: An ASLV Experience." Defence Science Journal 48, no. 2 (1998): 141–47. http://dx.doi.org/10.14429/dsj.48.3892.

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Wu, Xing Cun, Gang Fu, and Ren Long Li. "Design and Implementation of Telemetry Data Post-Processing System." Advanced Materials Research 989-994 (July 2014): 4165–68. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.4165.

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This paper presents a post-hoc analysis of telemetry data processing systems, introduces the design ideas and composition structure of the system, discussed in detail the design and implementation of key technologies demodulation processing module and the module frame involved. System to achieve a recording deal with post hoc analysis of telemetry data, to solve the current telemetry signal reception playback devices, high maintenance costs, has some economic benefits.
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Wang, Guohua, Qiang Li, Jinglin Sun, and Xiaofeng Meng. "Telemetry data processing flow model: a case study." Aircraft Engineering and Aerospace Technology 87, no. 1 (2015): 52–58. http://dx.doi.org/10.1108/aeat-11-2012-0221.

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Barry, Matthew R., Kevin L. Scott, and Steven P. Weismuller. "A distributed computing model for telemetry data processing." Robotics and Computer-Integrated Manufacturing 11, no. 2 (1994): 99–104. http://dx.doi.org/10.1016/0736-5845(94)90014-0.

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Dissertations / Theses on the topic "Telemetry Data Processing and Display"

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Macias, Filiberto. "Real Time Telemetry Data Processing and Data Display." International Foundation for Telemetering, 1996. http://hdl.handle.net/10150/611405.

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International Telemetering Conference Proceedings / October 28-31, 1996 / Town and Country Hotel and Convention Center, San Diego, California<br>The Telemetry Data Center (TDC) at White Sands Missile Range (WSMR) is now beginning to modernize its existing telemetry data processing system. Modern networking and interactive graphical displays are now being introduced. This infusion of modern technology will allow the TDC to provide our customers with enhanced data processing and display capability. The intent of this project is to outline this undertaking.
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Lipe, Bruce, and Tom Cronauer. "MOBILE ALL TERRAIN TELEMETRY AND DATA DISPLAY VANS." International Foundation for Telemetering, 1999. http://hdl.handle.net/10150/606811.

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International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>The 412th Test Wing, Range Division has developed an all-terrain van system to receive real-time telemetry and also to display the processed data for remote location flight-testing. The vans are refurbished Ground Launch Cruise Missile (GLCM), Launch Control Centers (LCC). The vans were a joint development effort between the Range and the Advanced Fighter Technology Integration (AFTI) program office. The van systems were specifically designed to support Ground Collision Avoidance System (GCAS) testing. However, the van systems have been successfully used to support other customers, with remote telemetry needs, due to the systems Commercial Off the Shelf (COTS) design. This document will describe the design, layout and rationale for the systems design. This paper will also provide the systems capabilities with top-level block diagrams.
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Burkes, Darryl A. "X-33 TELEMETRY BEST SOURCE SELECTION, PROCESSING, DISPLAY, AND SIMULATION MODEL COMPARISON." International Foundation for Telemetering, 1998. http://hdl.handle.net/10150/609673.

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International Telemetering Conference Proceedings / October 26-29, 1998 / Town & Country Resort Hotel and Convention Center, San Diego, California<br>The X-33 program requires the use of multiple telemetry ground stations to provide continuous coverage of the launch, ascent, re-entry and approach phases for flights from Edwards AFB, California, to landings at Dugway Proving Grounds, Utah, and Malmstrom AFB, Montana. This paper will discuss the X-33 telemetry requirements and design, including information on the fixed and mobile telemetry systems, automated best source selection system, processing/display support for range safety officers (RSO) and range engineers, and comparison of real-time data with simulated data using the Dynamic Ground Station Analysis model. Due to the use of multiple ground stations and short duration flights, the goal throughout the X-33 missions is to automatically provide the best telemetry source for critical vehicle performance monitoring. The X-33 program was initiated by National Aeronautics and Space Administration (NASA) Cooperative Agreement No. NCC8-115 with Lockheed Martin Skunk Works (LMSW).
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Rhea, Donald C., Michael A. Scardello, and Archie L. Moore. "AN ADVANCED DISTRIBUTED ARCHITECTURE FOR REAL-TIME PROCESSING AND DISPLAY OF TELEMETRY AND SPACE POSITIONING DATA." International Foundation for Telemetering, 1990. http://hdl.handle.net/10150/613798.

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International Telemetering Conference Proceedings / October 29-November 02, 1990 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>Rapid technology growth in the aerospace industry continues to manifest in increasingly complex weapons systems and system driven weapons systems platforms which must be supported in the flight test environment. This growth in complexity often surpasses the capabilities of many ground based real-time and post-flight processing and display systems, leaving these systems perpetually behind the power curve when compared to data/information processing, presentation and distribution requirements set forth by today’s flight test engineering community. Many flight test programs are accepting less than optimal results from these systems, therefore, the amount of information presently obtained (per flight hour) limits the results acquired during a test program, creating a more costly test and evaluation budget. As an integral participant in the development and testing of high technology aircraft and weapons systems, the U.S. Air Force Flight Test Center’s (AFFTC) Advanced Data Acquisition and Processing Systems (ADAPS) development is bridging the gap between requirements and capability by distributing current system architectures to provide incremental performance upgrades in specific areas of need in lieu of entire system replacements. This paper will discuss the current real-time processing, distribution and display capability that exists at the AFFTC and the planned phased upgrade of this tightly coupled system to a more flexible and extensible distributed architecture that will be increasingly responsive to the dynamic nature of test and evaluation of modern weapons systems and weapons systems platforms.
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Leichner, Ted, Stephen J. Nicolo, Ed Snyder, Mark Stacy, and Charles Ziegler. "ADVANCED TELEMETRY PROCESSING AND DISPLAY SYSTEM (ATPDS)." International Foundation for Telemetering, 2000. http://hdl.handle.net/10150/608270.

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International Telemetering Conference Proceedings / October 23-26, 2000 / Town & Country Hotel and Conference Center, San Diego, California<br>This paper describes a PC-based Advanced Telemetry Processing and Display System (ATPDS)- a highend, real-time telemetry processing and display system implemented on a COTS PC platform. for A network-centric architecture was chosen from candidate architectures as the most viable for the ATPDS. The network-centric architecture is Windows NT-based, client/server based, supporting clients and servers on both local or remote PC workstations. The architecture supports distributing processing loads across multiple workstations, optimizing mission processing requirements. The advantage of this system is its flexibility and expandability with low acquisition and life-cycle support costs. The ATPDS allows the user to configure one or more small systems into a larger high-end system based on varying mission requirements.
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Chantaworakunakorn, Piyarat, and Michael Munoz. "A Program to Display Big Data." International Foundation for Telemetering, 2015. http://hdl.handle.net/10150/596429.

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ITC/USA 2015 Conference Proceedings / The Fifty-First Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2015 / Bally's Hotel & Convention Center, Las Vegas, NV<br>This paper describes a new way to look at telemetry data. Northern Arizona University (NAU) students are researching a new approach to apply virtual reality (VR) to evaluate data from a collection of stored signals. Each signal will have limits attached which we will use to view the parts of the waveform which contain abnormalities. A program to illustrate the technique is being developed by NAU students. Initially, we were working with Vizard 5, using the Python language. However, there is another program, Unity, which will perhaps be more useful for the application we wish to achieve. Additionally, we are examining a technique to accurately access the telemetry data collected. The amount of telemetry data collected has increased over the years resulting in difficulties in identifying the relevant information. We are searching for a better approach to store and access big data and will demonstrate this approach by utilizing Oculus Rift and Microsoft Kinect.
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KNIGHT, PAUL D. "DESIGN CONSIDERATIONS FOR A MODERN TELEMETRY PROCESSING AND DISPLAY SYSTEM." International Foundation for Telemetering, 1991. http://hdl.handle.net/10150/613174.

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International Telemetering Conference Proceedings / November 04-07, 1991 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>Designing and fielding a telemetry processing and display system in today’s environment of rapidly changing requirements is an imposing task. This paper delineates some design considerations that will allow a system designer to adapt or modify a system as required in order to stay abreast of constantly changing telemetry requirements. A description of how these design considerations were used in implementing the Telemetry Processing System at the Pacific Missile Test Center is then presented.
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Devlin, Steve. "Telemetry Data Processing: A Modular, Expandable Approach." International Foundation for Telemetering, 1988. http://hdl.handle.net/10150/615091.

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International Telemetering Conference Proceedings / October 17-20, 1988 / Riviera Hotel, Las Vegas, Nevada<br>The growing complexity of missle, aircraft, and space vehicle systems, along with the advent of fly-by-wire and ultra-high performance unstable airframe technology has created an exploding demand for real time processing power. Recent VLSI developements have allowed addressing these needs in the design of a multi-processor subsystem supplying 10 MIPS and 5 MFLOPS per processor. To provide up to 70 MIPS a Digital Signal Processing subsystem may be configured with up to 7 Processors. Multiple subsystems may be employed in a data processing system to give the user virtually unlimited processing power. Within the DSP module, communication between cards is over a high speed, arbitrated Private Data bus. This prevents the saturation of the system bus with intermediate results, and allows a multiple processor configuration to make full use of each processor. Design goals for a single processor included executing number system conversions, data compression algorithms and 1st order polynomials in under 2 microseconds, and 5th order polynomials in under 4 microseconds. The processor design meets or exceeds all of these goals. Recently upgraded VLSI is available, and makes possible a performance enhancement to 11 MIPS and 9 MFLOPS per processor with reduced power consumption. Design tradeoffs and example applications are presented.
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Murphy, Donald P. "Parallel Distributed Processing of Realtime Telemetry Data." International Foundation for Telemetering, 1987. http://hdl.handle.net/10150/615233.

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International Telemetering Conference Proceedings / October 26-29, 1987 / Town and Country Hotel, San Diego, California<br>An architecture is described for Processing Multiple digital PCM telemetry streams. This architecture is implemented using a collection of Motorola mono-board microprocessor units (MPUs) in a single chassis called an Intermediate Processing Unit (IPU). Multiple IPUs can be integrated using a common input data bus. Each IPU is capable of processing a single PCM digital telemetry stream. Processing, in this context, includes conversion of raw sample count data to engineering units; computation of derived quantities from measurement sample data; calculation of minimum, maximum, average and cyclic [(maximum - minimum)/2] values for both measurement and derived data over a preselected time interval; out-of-limit, dropout and wildpoint detection; strip chart recording of selected data; transmission of both measurement and derived data to a high-speed, large-capacity disk storage subsystem; and transmission of compressed data to the host computer for realtime processing and display. All processing is done in realtime with at most two PCM major frames time latency.
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Reed, Gary. "TSPI DATA PROCESSING IN THE TELEMETRY ENVIRONMENT." International Foundation for Telemetering, 1985. http://hdl.handle.net/10150/615725.

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International Telemetering Conference Proceedings / October 28-31, 1985 / Riviera Hotel, Las Vegas, Nevada<br>Most test ranges are required to process both telemetry and Time Space Position Information (TSPI) data in real time. Using the Integrated Flight Data Processing System (IFDAPS) at Edwards AFB as an example, this paper identifies some of the basic differences between telemetry and TSPI data processing and discusses methods of integrating the two types of processing. Included for consideration in the integrated processing are data acquisition, measurement displays, recording, derived measurement computations using both types of data, and post flight merging of telemetry and TSPI data. Data processing is discussed in a concurrent, multiple operation environment using separate, integrated processors.
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Books on the topic "Telemetry Data Processing and Display"

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M, Rueger E., ed. Telemetry system architecture. 3rd ed. International Society of America, 1995.

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NATO Advanced Study Institute on Underwater Acoustic Data Processing (1988 Kingston, Ont.). Underwater acoustic data processing. Kluwer Academic Publishers, 1989.

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Underwater signal and data processing. CRC Press, 1989.

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Strock, O. J. Telemetry computer systems: The new generation. Instrument Society of America, 1988.

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Hess, Kurt W. Geographic display of circulation model data. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1989.

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Benedetto, Sergio. A flexible near-shannon SCCC turbo code for telemetry applications. ESA Publications Division, ESTEC, 2005.

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Relational management and display of site environmental data. Lewis Publishers, 2002.

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Electronic display measurement: Concepts, techniques, and instrumentation. Wiley, 1997.

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Everett, Richard. STRAT: A computer program for quaternary stratigraphic data display and management. University of Durham, Dept. of Geography, 1987.

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FEDERAL AVIATION ADMINISTRATION. Installation of electronic display instrument systems in part 23 airplanes. U.S. Dept. of Transportation, Federal Aviation Administration, 1993.

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Book chapters on the topic "Telemetry Data Processing and Display"

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Yang, Tingwu. "Telemetry Data Processing and Analysis." In Telemetry Theory and Methods in Flight Test. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4737-3_6.

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Fillery, Nigel P., and David Stanton. "Telemetry, Command, Data Handling and Processing." In Spacecraft Systems Engineering. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119971009.ch13.

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Penhaker, M., and H. Tran Minh. "Measurements and Data Processing in Home Care Telemetry Systems." In IFMBE Proceedings. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02913-9_45.

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Pulli, Kari, Michael Cohen, Tom Duchamp, et al. "Surface modeling and display from range and color data." In Image Analysis and Processing. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63507-6_224.

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Geissbühler, A., D. Townsend, and S. Kuijk. "A Graphics Workstation for PET Data Acquisition and Display." In Information Processing in Medical Imaging. Springer US, 1988. http://dx.doi.org/10.1007/978-1-4615-7263-3_26.

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Kahn, Olivier, Epiphane Codjovi, Yann Garcia, Petra J. van Koningsbruggen, René Lapouyade, and Line Sommier. "Spin-Transition Molecular Materials for Display and Data Processing." In ACS Symposium Series. American Chemical Society, 1996. http://dx.doi.org/10.1021/bk-1996-0644.ch020.

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Braitenberg, Valentino. "How Ideas Survive Evidence to the Contrary: A Comment on Data Display and Modelling." In Information Processing in the Cortex. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-49967-8_26.

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Niu, Yuehua, Wenyan Zhao, Xin Li, Weiwei Liu, and Yalong Pang. "Design of High-Efficiency Heterogeneous Processing System for on-Board Mass Telemetry Data Analysis." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4102-9_78.

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Libing, Guo, He Jianwei, Xi Hongming, Li Yonggang, and Li Ling. "Desgin on the Architecture of Rocket Telemetry Data Processing Based on Distributed Middleware ICE." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29637-6_90.

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Zala, Cedric A., and J. Michael Berkley. "Software for Signal Processing and Display of Large 3-D Data Sets." In Review of Progress in Quantitative Nondestructive Evaluation. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2848-7_96.

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Conference papers on the topic "Telemetry Data Processing and Display"

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FANUS, D. "Telemetry processing system." In 3rd Flight Testing Conference and Technical Display. American Institute of Aeronautics and Astronautics, 1986. http://dx.doi.org/10.2514/6.1986-9825.

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In Jong Kim and Sungpil Lee. "Development of telemetry data processing program." In 2013 International Conference on ICT Convergence (ICTC). IEEE, 2013. http://dx.doi.org/10.1109/ictc.2013.6675398.

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Chandiramani, Jayesh Ramesh, Sanjam Bhandari, and S. A. Hariprasad. "Vehicle Data Acquisition and Telemetry." In 2014 Fifth International Conference on Signal and Image Processing (ICSIP). IEEE, 2014. http://dx.doi.org/10.1109/icsip.2014.35.

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Bessant, M., and P. Knight. "Development in Onboard Data Acquisition, Display and Radio Telemetry for Motor Racing." In International Congress & Exposition. SAE International, 1992. http://dx.doi.org/10.4271/920821.

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Susanto, Herry, and Gunawan Wibisono. "Marine Vessel Telemetry Data Processing Using Machine Learning." In 2019 6th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI). IEEE, 2019. http://dx.doi.org/10.23919/eecsi48112.2019.8976923.

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Suciu, George, Victor Suciu, Simona Halunga, Octavian Fratu, and Bayu Anggorojati. "Cloud systems and big data processing for environmental telemetry." In 2014 International Conference on Applied and Theoretical Electricity (ICATE). IEEE, 2014. http://dx.doi.org/10.1109/icate.2014.6972676.

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Winiecki, Jr., Kenneth B., Marco A. Figueiredo, Terry L. Graessle, and Parminder S. Ghuman. "Applicability of reconfigurable computers in satellite telemetry data processing." In Photonics East (ISAM, VVDC, IEMB), edited by John Schewel. SPIE, 1998. http://dx.doi.org/10.1117/12.327042.

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MARSHALL, D. "Helicopter data acquisition and processing." In 3rd Flight Testing Conference and Technical Display. American Institute of Aeronautics and Astronautics, 1986. http://dx.doi.org/10.2514/6.1986-9734.

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Pomerantz, Marc, Christopher S. Lim, Daren Lee, and Viet T. Nugyen. "Applied Multi-Mission Telemetry Processing and Display for Operations, Integration, Training, Playback and Event Reconstruction." In AIAA SPACE 2015 Conference and Exposition. American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-4499.

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Bin, Shi, Wang Hua, Yao Yu-jie, Duan Hui-fen, and Zhang Juan. "A universal spacecraft telemetry data processing model based on MCP." In 2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA). IEEE, 2017. http://dx.doi.org/10.1109/ciapp.2017.8167051.

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Reports on the topic "Telemetry Data Processing and Display"

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SEA TECHNOLOGY ARLINGTON VA. Communications, Telemetry, Data Processing. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada417821.

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2

Jones, Charles H. Automated Extraction of Data Display Configuration From Telemetry Applications. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada426294.

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