Relevant bibliographies by topics / Pulse Code Modulation Encoder

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

Academic literature on the topic 'Pulse Code Modulation Encoder'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Pulse Code Modulation Encoder"

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Ahmed, Iftekhar Uddin, Abdul Kadar Muhammad Masum, and S. M. A. Motakabber. "The proposed model of pulse code modulation encoder for voice frequencies." International Journal of Scientific World 3, no. 1 (April 26, 2015): 152. http://dx.doi.org/10.14419/ijsw.v3i1.4495.

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<p>In this paper, we have developed a hardware-based model of pulse code modulation (PCM) system for voice frequencies. Firstly, we have constructed sample and hold circuit using triggered semiconductor switch (e.g., MOSFET), which is capable of sampling voice signals at 8 kHz according to Nyquist theory. Then an Analogue to Digital Converter (ADC) Integrated Circuit (IC) is introduced to quantize and to digitize of the output of the sample and hold as pulse amplitude modulation (PAM). The converted outputs are 8-bit digital parallel value per sample at a frequency of 8 kHz. Finally, a parallel to serial converter logic is constructed which remains the voice frequency at the accurate time without any delay. The principle feature of this PCM system is that during a final interval of time, it makes a waveform into 8 bit serial code word. An 8-bit shift register with decade counter and flip-flop based logic are providing to this wave-from one after another without any interruptions of the sequences.</p>
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M, Sravan Reddy, and Vishnuvardhan D. "Post-processing of “Pulse code modulation” encoder output to downtick bit rates for voice transmission." IJIREEICE 3, no. 11 (November 15, 2015): 89–91. http://dx.doi.org/10.17148/ijireeice.2015.31118.

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Sadiq, B. J. S., V. Yu Tsviatkou, and М. N. Bobov. "Аdaptive combined image coding with prediction of arithmetic code volume." Doklady BGUIR 19, no. 2 (March 27, 2021): 31–39. http://dx.doi.org/10.35596/1729-7648-2021-19-2-31-39.

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The problem of increasing the efficiency of coding of halftone images in the space of bit planes of differences in pixel values obtained using differential coding (DPCM – Differential pulse-code modulation) is considered. For a compact representation of DPCM pixel values, it is proposed to use a combined compression encoder that implements arithmetic coding and run-length coding. An arithmetic encoder provides high compression ratios, but has high computational complexity and significant encoding overhead. This makes it effective primarily for compressing the mean-value bit-planes of DPCM pixel values. Run-length coding is extremely simple and outperforms arithmetic coding in compressing long sequences of repetitive symbols that often occur in the upper bit planes of DPCM pixel values. For DPCM bit planes of pixel values of any image, a combination of simple run length coders and complex arithmetic coders can be selected that provides the maximum compression ratio for each bit plane and all planes in general with the least computational complexity. As a result, each image has its own effective combined encoder structure, which depends on the distribution of bits in the bit planes of the DPCM pixel values. To adapt the structure of the combined encoder to the distribution of bits in the bit planes of DPCM pixel values, the article proposes to use prediction of the volume of arithmetic code based on entropy and comparison of the obtained predicted value with the volume of run length code. The entropy is calculated based on the values of the number of repetitions of ones and zero symbols, which are obtained as intermediate results of the run length encoding. This does not require additional computational costs. It was found that in comparison with the adaptation of the combined encoder structure using direct determination of the arithmetic code volume of each bit plane of DPCM pixel values, the proposed encoder structure provides a significant reduction in computational complexity while maintaining high image compression ratios.
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Fuglsig, Andreas Jonas, and Jan Østergaard. "Zero-Delay Multiple Descriptions of Stationary Scalar Gauss-Markov Sources." Entropy 21, no. 12 (December 1, 2019): 1185. http://dx.doi.org/10.3390/e21121185.

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In this paper, we introduce the zero-delay multiple-description problem, where an encoder constructs two descriptions and the decoders receive a subset of these descriptions. The encoder and decoders are causal and operate under the restriction of zero delay, which implies that at each time instance, the encoder must generate codewords that can be decoded by the decoders using only the current and past codewords. For the case of discrete-time stationary scalar Gauss—Markov sources and quadratic distortion constraints, we present information-theoretic lower bounds on the average sum-rate in terms of the directed and mutual information rate between the source and the decoder reproductions. Furthermore, we show that the optimum test channel is in this case Gaussian, and it can be realized by a feedback coding scheme that utilizes prediction and correlated Gaussian noises. Operational achievable results are considered in the high-rate scenario using a simple differential pulse code modulation scheme with staggered quantizers. Using this scheme, we achieve operational rates within 0.415 bits / sample / description of the theoretical lower bounds for varying description rates.
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Kung, Ying-Shieh, Seng-Chi Chen, Jin-Mu Lin, and Tsung-Chun Tseng. "FPGA-realization of a speed control IC for induction motor drive." Engineering Computations 33, no. 6 (August 1, 2016): 1835–52. http://dx.doi.org/10.1108/ec-08-2015-0260.

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Purpose – The purpose of this paper is to integrate the function of a speed controller for induction motor (IM) drive, such as the speed PI controller, the current vector controller, the slip speed estimator, the space vector pulse width modulation scheme, the quadrature encoder pulse, and analog to digital converter interface circuit, etc. into one field programmable gate array (FPGA). Design/methodology/approach – First, the mathematical modeling of an IM drive, the field-oriented control algorithm, and PI controller are derived. Second, the very high speed IC hardware description language (VHDL) is adopted to describe the behavior of the algorithms above. Third, based on electronic design automation simulator link, a co-simulation work constructed by ModelSim and Simulink is applied to verify the proposed VHDL code for the speed controller intellectual properties (IP). Finally, the developed VHDL code will be downloaded to the FPGA for further control the IM drive. Findings – In realization aspect, it only needs 5,590 LEs, 196,608 RAM bits, and 14 embedded 9-bit multipliers in FPGA to build up a speed control IP. In computational power aspect, the operation time to complete the computation of the PI controller, the slip speed estimator, the current vector controller are only 0.28 μs, 0.72 μs, and 0.96 μs, respectively. Practical implications – Fast computation in FPGA can speed up the speed response of IM drive system to increase the running performance. Originality/value – This is the first time to realize all the function of a speed controller for IM drive within one FPGA.
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Sultan, Bushra A., and Loay E. George. "Color image compression based on spatial and magnitude signal decomposition." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 5 (October 1, 2021): 4069. http://dx.doi.org/10.11591/ijece.v11i5.pp4069-4081.

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<p>In this paper, a simple color image compression system has been proposed using image signal decomposition. Where, the RGB image color band is converted to the less correlated YUV color model and the pixel value (magnitude) in each band is decomposed into 2-values; most and least significant. According to the importance of the most significant value (MSV) that influenced by any simply modification happened, an adaptive lossless image compression system is proposed using bit plane (BP) slicing, delta pulse code modulation (Delta PCM), adaptive quadtree (QT) partitioning followed by an adaptive shift encoder. On the other hand, a lossy compression system is introduced to handle the least significant value (LSV), it is based on an adaptive, error bounded coding system, and it uses the DCT compression scheme. The performance of the developed compression system was analyzed and compared with those attained from the universal standard JPEG, and the results of applying the proposed system indicated its performance is comparable or better than that of the JPEG standards.</p>
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Silitonga, Parasian D. P., and Irene Sri Morina. "Compression and Decompression of Audio Files Using the Arithmetic Coding Method." Scientific Journal of Informatics 6, no. 1 (May 24, 2019): 73–81. http://dx.doi.org/10.15294/sji.v6i1.17839.

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Audio file size is relatively larger when compared to files with text format. Large files can cause various obstacles in the form of large space requirements for storage and a long enough time in the shipping process. File compression is one solution that can be done to overcome the problem of large file sizes. Arithmetic coding is one algorithm that can be used to compress audio files. The arithmetic coding algorithm encodes the audio file and changes one row of input symbols with a floating point number and obtains the output of the encoding in the form of a number of values greater than 0 and smaller than 1. The process of compression and decompression of audio files in this study is done against several wave files. Wave files are standard audio file formats developed by Microsoft and IBM that are stored using PCM (Pulse Code Modulation) coding. The wave file compression ratio obtained in this study was 16.12 percent with an average compression process time of 45.89 seconds, while the average decompression time was 0.32 seconds.
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Yamagiwa, Shinichi, and Yuma Ichinomiya. "Stream-Based Visually Lossless Data Compression Applying Variable Bit-Length ADPCM Encoding." Sensors 21, no. 13 (July 5, 2021): 4602. http://dx.doi.org/10.3390/s21134602.

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Video applications have become one of the major services in the engineering field, which are implemented by server–client systems connected via the Internet, broadcasting services for mobile devices such as smartphones and surveillance cameras for security. Recently, the majority of video encoding mechanisms to reduce the data rate are mainly lossy compression methods such as the MPEG format. However, when we consider special needs for high-speed communication such as display applications and object detection ones with high accuracy from the video stream, we need to address the encoding mechanism without any loss of pixel information, called visually lossless compression. This paper focuses on the Adaptive Differential Pulse Code Modulation (ADPCM) that encodes a data stream into a constant bit length per data element. However, the conventional ADPCM does not have any mechanism to control dynamically the encoding bit length. We propose a novel ADPCM that provides a mechanism with a variable bit-length control, called ADPCM-VBL, for the encoding/decoding mechanism. Furthermore, since we expect that the encoded data from ADPCM maintains low entropy, we expect to reduce the amount of data by applying a lossless data compression. Applying ADPCM-VBL and a lossless data compression, this paper proposes a video transfer system that controls throughput autonomously in the communication data path. Through evaluations focusing on the aspects of the encoding performance and the image quality, we confirm that the proposed mechanisms effectively work on the applications that needs visually lossless compression by encoding video stream in low latency.
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Arpasi, Jorge Pedraza. "On the Uncontrollability of Nonabelian Group Codes with Uncoded Group." Mathematical Problems in Engineering 2011 (2011): 1–12. http://dx.doi.org/10.1155/2011/783516.

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Error-correcting encoding is a mathematical manipulation of the information against transmission errors over noisy communications channels. One class of error-correcting codes is the so-calledgroup codes. Presently, there are many good binary group codes which are abelian. A group code is a family of bi-infinite sequences produced by a finite state machine (FSM) homomorphic encoder defined on the extension of two finite groups. As a set of sequences, a group code is a dynamical system and it is known that well-behaved dynamical systems must be necessarily controllable. Thus, a good group code must be controllable. In this paper, we work with group codes defined over nonabelian groups. This necessity on the encoder is because it has been shown that the capacity of an additive white Gaussian noise (AWGN) channel using abelian group codes is upper bounded by the capacity of the same channel using phase shift keying (PSK) modulation eventually with different energies per symbol. We will show that when the trellis section group is nonabelian and the input group of the encoder is a cyclic group with, elements, prime, then the group code produced by the encoder is noncontrollable.
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Sulaeman, Enceng, Ashari Ashari, Griffani Megiyanto Rahmatullah, and Rifa Hanifatunnisa. "Pembangkitan Sinyal Pulse Code Modulation Berbasis OMAP-L318." JTERA (Jurnal Teknologi Rekayasa) 5, no. 2 (December 26, 2020): 215. http://dx.doi.org/10.31544/jtera.v5.i2.2020.215-220.

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Dissertations / Theses on the topic "Pulse Code Modulation Encoder"

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Borgen, Gary. "MICROCONTROLLER BASED PCM ENCODERS FOR TELEMETRY INSTRUMENTATION." International Foundation for Telemetering, 2005. http://hdl.handle.net/10150/604920.

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ITC/USA 2005 Conference Proceedings / The Forty-First Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2005 / Riviera Hotel & Convention Center, Las Vegas, Nevada
Pulse Code Modulation (PCM) Encoders used in Telemetry Instrumentation systems have traditionally been implemented using sequencer or state-machine based micro-architectures with distributed control and signal acquisition components. This architecture requires the use of many discrete electronic components and custom micro-code programming or state machine development for the control of the systems. The advent of relatively high-speed microcontrollers with embedded signal acquisition subsystems has brought about the ability to implement highly integrated PCM Encoder systems using fewer components and standardized programming methods. This paper will discuss sequencer based PCM encoders for background and then introduce the concept of Microcontroller Based PCM Encoders for Telemetry Instrumentation. Specific design examples will be introduced. Advantages and disadvantages of the two techniques will be discussed.
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Grant, Eugene. "INTERCEPTOR TARGET MISSILE TELEMETRY." International Foundation for Telemetering, 1997. http://hdl.handle.net/10150/607598.

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International Telemetering Conference Proceedings / October 27-30, 1997 / Riviera Hotel and Convention Center, Las Vegas, Nevada
A target missile is a unique piece of test hardware. This test tool must be highly reliable, low cost and simple and must perform any task that the developing interceptor missile planners require. The target missile must have ample power and guidance resources to put the target in a specified place in the sky at a desired time. The telemetry and measurement system for the target missile must have the same requirements as its interceptor missile but must be flexible enough to accept new requirements as they are applied to the target and its interceptor. The United States Army has tasked Coleman Aerospace to design and build this type of target missile. This paper describes and analyzes the telemetry and instrumentation system that a Hera target missile carries. This system has been flying for the past two years, has completed seven out of seven successful test flights and has accomplished all test objectives to date. The telemetry and instrumentation system is an integral part of the missile self-test system. All preflight checks and flight simulations are made with the on-board three-link telemetry system through a radio frequency (RF) link directly through the missile antenna system to a ground station antenna. If an RF transmission path is not available due to test range restrictions, a fiber-optic cable links the pulse code modulator (PCM) encoder to the receiving ground stations which include the bitsync, decommutator and recorders. With this capability, alternative testing is not limited by RF test range availability. The ground stations include two mobile stations and a factory station for all testing including preflight testing of the missile system prior to flight test launches. These three ground stations are built in a single configuration with additional equipment in the mobile units for use at remote locations. The design, fabrication, testing and utilization of these ground stations are reviewed. The telemetry system is a modification of the classical PCM system and will operate with its interceptor missile at least into the first decade from the year 2000.
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Lum, Randall M. G. "Differential pulse code modulation data compression." Scholarly Commons, 1989. https://scholarlycommons.pacific.edu/uop_etds/2181.

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With the requirement to store and transmit information efficiently, an ever increasing number of uses of data compression techniques have been generated in diverse fields such as television, surveillance, remote sensing, medical processing, office automation, and robotics. Rapid increases in processing capabilities and the speed of complex integrated circuits make data compression techniques a prime candidate for application in the areas mentioned above. This report addresses, from a theoretical viewpoint, three major data compression techniques, Pixel Coding, Predictive Coding, and Transform Coding. It begins with a project description and continues with data compression techniques, focusing on Differential Pulse Code Modulation.
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Baughman, James E. "A High Speed Miniature Pulse Code Modulation System." International Foundation for Telemetering, 1989. http://hdl.handle.net/10150/614639.

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International Telemetering Conference Proceedings / October 30-November 02, 1989 / Town & Country Hotel & Convention Center, San Diego, California
Increasing speed and complexity of guidance and target acquisition systems being developed for SDI missile interceptors mandate new performance standards for today's airborne telemetry systems. High bandwidth video data merged with a myriad of high sample rate analog and digital channels have pushed bit rates to 10 MBPS (Mega Bits Per Second) and beyond. These bit rates which are an order of magnitude beyond most telemetry systems in use today, result in the need for a new architecture which facilitates data transfer at these higher rates.
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Navickas, T. A., and S. G. Jones. "PULSE CODE MODULATION DATA COMPRESSION FOR AUTOMATED TEST EQUIPMENT." International Foundation for Telemetering, 1991. http://hdl.handle.net/10150/612065.

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International Telemetering Conference Proceedings / November 04-07, 1991 / Riviera Hotel and Convention Center, Las Vegas, Nevada
Development of automated test equipment for an advanced telemetry system requires continuous monitoring of PCM data while exercising telemetry inputs. This requirements leads to a large amount of data that needs to be stored and later analyzed. For example, a data stream of 4 Mbits/s and a test time of thirty minutes would yield 900 Mbytes of raw data. With this raw data, information needs to be stored to correlate the raw data to the test stimulus. This leads to a total of 1.8 Gb of data to be stored and analyzed. There is no method to analyze this amount of data in a reasonable time. A data compression method is needed to reduce the amount of data collected to a reasonable amount. The solution to the problem was data reduction. Data reduction was accomplished by real time limit checking, time stamping, and smart software. Limit checking was accomplished by an eight state finite state machine and four compression algorithms. Time stamping was needed to correlate stimulus to the appropriate output for data reconstruction. The software was written in the C programming language with a DOS extender used to allow it to run in extended mode. A 94 - 98% compression in the amount of data gathered was accomplished using this method.
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Collaer, Marcia Lee. "IMAGE DATA COMPRESSION: DIFFERENTIAL PULSE CODE MODULATION OF TOMOGRAPHIC PROJECTIONS." Thesis, The University of Arizona, 1985. http://hdl.handle.net/10150/291412.

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Ahn, Seung Choon. "Variable threshold detection with weighted PCM signal transmitted over Gussian channel." Ohio : Ohio University, 1986. http://www.ohiolink.edu/etd/view.cgi?ohiou1183126123.

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Ma, Kuang-Hua. "Image compression using a double differential pulse code modulation technique (DPCM/DPCM." Ohio : Ohio University, 1996. http://www.ohiolink.edu/etd/view.cgi?ohiou1178215120.

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Wong, K. H. J. "Adaptive differential pulse code modulation and sub-band coding of speech signals." Thesis, University of Southampton, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.380170.

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See, Chun Kit. "Hybrid pulse interval modulation-code-division multiple-access for optical wireless communications." Thesis, Sheffield Hallam University, 2003. http://shura.shu.ac.uk/20340/.

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The work in this thesis investigates the properties of the IR diffuse wireless link with regard to: the use of sets of signature sequences with good message separation properties (hence providing low BER), the suitability of a hPIM-CDMA scheme for the IR diffuse wireless systems under the constraint of eye safety regulations (i.e. when all users are transmitting simultaneously), the quality of message separation due to multipath propagation. The suitability of current DS-CDMA systems using other modulation techniques are also investigated and compared with hPIM-CDMA for the performances in power efficiency, data throughput enhancement and error rate. A new algorithm has also been proposed for generating large sets of (n,3,1,1)OOC practically with reduced computation time. The algorithm introduces five conditions that are well refined and help in speeding up the code construction process. Results for elapsed computation times for constructing the codes using the proposed algorithm are compared with theory and show a significant achievement. The models for hPIM-CDMA and hPPM-CDMA systems, which were based on passive devices only, were also studied. The technique used in hPIM-CDMA, which uses a variable and shorter symbol duration, to achieve higher data throughput is presented in detail. An in-depth analysis of the BER performance was presented and results obtained show that a lower BER and higher data throughput can be achieved. A corrected BER expression for the hPPM-CDMA was presented and the justification for this detailed. The analyses also show that for DS-CDMA systems using certain sets of signature sequences, the BER performance cannot be approximated by a Gaussian function.
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Books on the topic "Pulse Code Modulation Encoder"

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Currier, Stephen F. Pulse code modulation (PCM) encoder handbook for Aydin Vector MMP-600 series system. Washington, D.C: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

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Raphael, David. Pulse code modulation encoder handbook for Aydin Vector MMP-900 series system. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 1995.

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Raphael, David. Pulse code modulation encoder handbook for Aydin Vector MMP-900 series system. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 1995.

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Raphael, David. Pulse code modulation encoder handbook for Aydin Vector MMP-900 series system. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 1995.

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Pulse code modulation systems design. Boston: Artech House, 1999.

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Tan, Kim Sing. Pulse code modulation (PCM) system design. London: University of East London, 1995.

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Pilipchuk, N. I. Adaptivnai͡a︡ impulʹsno-kodovai͡a︡ moduli͡a︡t͡s︡ii͡a︡. Moskva: "Radio i svi͡a︡zʹ", 1986.

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Pulse code modulation techniques: With applications in communications and data recording. New York: Van Nostrand Reinhold, 1995.

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Waggener, William N. Pulse code modulation techniques: With applications in communications and data recording. New York: Van Nostrand Reinhold, 1995.

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Massey, David E. Pulse code modulation (PCM) data storage and analysis using a microcomputer. Wallops Island, Va: Goddard Space Flight Center, 1986.

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Book chapters on the topic "Pulse Code Modulation Encoder"

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Weik, Martin H. "pulse-code modulation." In Computer Science and Communications Dictionary, 1371. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_15065.

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Brewster, R. L. "Pulse code modulation." In ISDN Technology, 5–19. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1592-6_2.

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Keiser, Bernhard E., and Eugene Strange. "Pulse Code Modulation." In Digital Telephony and Network Integration, 19–34. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-015-7177-7_3.

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Vasudevan, Kasturi. "Pulse Code Modulation." In Analog Communications, 327–56. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50337-6_6.

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Weik, Martin H. "pulse-code modulation multiplexing." In Computer Science and Communications Dictionary, 1371. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_15066.

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Weik, Martin H. "pulse-code-modulation noise." In Computer Science and Communications Dictionary, 1371. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_15067.

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Faruque, Saleh. "Pulse Code Modulation (PCM)." In SpringerBriefs in Electrical and Computer Engineering, 65–90. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15609-5_4.

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Weik, Martin H. "differential pulse-code modulation." In Computer Science and Communications Dictionary, 404. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_4981.

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Werner, Martin. "Pulse-Code-Modulation und Zeitmultiplextechnik." In Nachrichtentechnik, 95–114. Wiesbaden: Vieweg+Teubner Verlag, 1998. http://dx.doi.org/10.1007/978-3-663-10867-2_5.

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Weik, Martin H. "equivalent pulse-code-modulation noise." In Computer Science and Communications Dictionary, 534. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_6375.

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Conference papers on the topic "Pulse Code Modulation Encoder"

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Arisandi, Effendi Dodi. "Preliminary design of pulse code modulation encoder for telemetry data rocket." In PROCEEDINGS OF THE 3RD INTERNATIONAL SEMINAR ON METALLURGY AND MATERIALS (ISMM2019): Exploring New Innovation in Metallurgy and Materials. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0006764.

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Toma, Ion, Bojana Bjeljac, and Ian Ashdown. "Pseudorandom pulse code modulation of LEDs." In Optical Engineering + Applications, edited by Ian T. Ferguson, Nadarajah Narendran, Tsunemasa Taguchi, and Ian E. Ashdown. SPIE, 2007. http://dx.doi.org/10.1117/12.732531.

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Lamba, Japtej Singh, Karan Sachdeva, Vishal Sinha, and Neetu Singh. "Differential pulse code modulation in audio steganography." In 2016 International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques (ICEECCOT). IEEE, 2016. http://dx.doi.org/10.1109/iceeccot.2016.7955201.

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Lita, Ioan, Mariana Jurian, Daniel Alexandru Visan, and Ion Bogdan Cioc. "Platform for studying of pulse code modulation." In 2010 IEEE 16th International Symposium for Design and Technology in Electronic Packaging (SIITME). IEEE, 2010. http://dx.doi.org/10.1109/siitme.2010.5653137.

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Tran, Anh, Tom T. Huang, and Chien N. Yang. "Block Differential Pulse Code Modulation OPCM) Coding." In Cambridge Symposium-Fiber/LASE '86, edited by T. Russell Hsing. SPIE, 1986. http://dx.doi.org/10.1117/12.937252.

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Ashdown, Ian. "Extended parallel pulse code modulation of LEDs." In SPIE Optics + Photonics, edited by Ian T. Ferguson, Nadarajah Narendran, Tsunemasa Taguchi, and Ian E. Ashdown. SPIE, 2006. http://dx.doi.org/10.1117/12.679674.

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Wu, Jiaji, Wenze Li, and Wanqiu Kong. "GPU-based parallel clustered differential pulse code modulation." In SPIE Remote Sensing, edited by Bormin Huang, Sebastián López, Zhensen Wu, Jose M. Nascimento, Boris A. Alpatov, and Jordi Portell de Mora. SPIE, 2015. http://dx.doi.org/10.1117/12.2199270.

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Cattermole, K. W. "Pulse code modulation: invented for microwaves, used everywhere." In International Conference on 100 Years of Radio. IEE, 1995. http://dx.doi.org/10.1049/cp:19950810.

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Laskov, Lyubomir, Veska Georgieva, and Kalin Dimitrov. "Analysis of Pulse Code Modulation in MATLAB / Octave Environment." In 2020 55th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST). IEEE, 2020. http://dx.doi.org/10.1109/icest49890.2020.9232755.

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Christianson, Leann M., and Kevin A. Brown. "Bandwidth adjustment based on dynamic differential pulse code modulation." In Photonics East (ISAM, VVDC, IEMB), edited by Raif O. Onvural, Seyhan Civanlar, Paul J. Doolan, and James V. Luciani. SPIE, 1998. http://dx.doi.org/10.1117/12.333733.

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Reports on the topic "Pulse Code Modulation Encoder"

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Simms, D. A., and C. P. Butterfield. PC-based PCM (Pulse Code Modulation) telemetry data reduction system hardware. Office of Scientific and Technical Information (OSTI), February 1990. http://dx.doi.org/10.2172/7024568.

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DELTA INFORMATION SYSTEMS INC HORSHAM PA. Transform Coding and Differential Pulse Code Modulation for Group 4 Facsimile. Fort Belvoir, VA: Defense Technical Information Center, August 1987. http://dx.doi.org/10.21236/ada223954.

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Vaudreuil, G., and G. Parsons. Toll Quality Voice - 32 kbit/s Adaptive Differential Pulse Code Modulation (ADPCM) MIME Sub-type Registration. RFC Editor, June 2004. http://dx.doi.org/10.17487/rfc3802.

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