Relevant bibliographies by topics / Demodulation

Academic literature on the topic 'Demodulation'

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Published: 4 June 2021
Last updated: 6 July 2024

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Journal articles on the topic "Demodulation"

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Skorodumovs, A. "SDPSK-Specific Demodulation Method for the Nanortu Field-Programmable Gate Array / SDPSK-Specifiska Demodulācijas Metode Nanortutm Programmētajām Loģiskajām Integrācijas Shēmām." Latvian Journal of Physics and Technical Sciences 50, no. 1 (February 1, 2013): 84–90. http://dx.doi.org/10.2478/lpts-2013-0006.

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The software-defined radio (SDR) solutions inpart flexibility to the satellite applications when the devices are physically inaccessible after the launch. The nanoRTU FPGA-based controller (AAC Microtec) may be programmed to serve as a software-defined differential phase shift keying (SDPSK) modem backend to be used in satellites for communication with the Earth. The modem consists of two units - a modulator and a demodulator. A fully functional symmetric SDPSK modulator for nanoRTU FPGA has already been implemented. The next step of the modem implementation is the development of demodulator. In order to implement such facilities, the existing demodulation techniques should be reviewed in order to propose the appropriate method in which the demodulator would be capable of demodulating a signal, and, at the same time, would be resource-efficient. The author describes a valid method of specific SDPSK signal demodulation for the nanoRTU FPGA.
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Wang, Zhe, Zhi Hong Yin, and Ming Xu Zhang. "Research of Fiber Bragg Grating Sensor Demodulating Technology with Lab VIEW." Applied Mechanics and Materials 236-237 (November 2012): 1211–15. http://dx.doi.org/10.4028/www.scientific.net/amm.236-237.1211.

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Combining the virtual instrument technology with the fiber Bragg grating sensing technology, a new fiber Bragg grating sensing demodulation system based on Lab VIEW has been designed. The unbalanced Mach-Zehnder interferometer demodulation technology has been used in this system to translate the fiber Bragg grating wavelength signals in which the strain information is contained into the phase signals，and transfer it to the virtual instrument based on Lab VIEW with the high speed data acquisition card，then conduct process operations and results display [1]. At last, the value of measured strain can be obtained. Compared with the conventional demodulations system，the accuracy this interferometer demodulation system’s measurement has been increased greatly. At the same time, it solves the problem of high cost, large volume and only displays the wavelength with the conventional demodulations system.
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Mu, Shi Guang, Jin Rong Bai, and Xiu Feng Shi. "Optimization and Simulation of Demodulation and Decoding of the LDPC-BICM-ID System." Applied Mechanics and Materials 701-702 (December 2014): 1088–92. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.1088.

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In the bit interleaving coded modulation (BICM-ID) solution,includes the demodulator and decoder into the iteration and decoding process, and the decoding is completed between demodulator and decoder. In studies, it have been found that the oscillation is generated on logarithmic likelihood ratio (LLR) because the soft information generated by all previous BP iterations is ignored in this solution, so that the BP soft information output by the final BP iterative decoding is not always reliable. In this paper, the above problem is solved by optimizing the iterative demodulation and decoding solution. Aiming at this problem, this paper firstly puts forward a kind of optimization scheme about iterative demodulation and decoding, then the simulation analysis, the result show that, under the premise of ensuring the system complexity basically unchanged, can improve the demodulation and decoding performance of LDPC coded modulation and demodulation system.
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Chen, Yuren, Yang Yu, Yan Xu, Zhencheng Wang, Ning Li, Wenjie Xu, and Zhenrong Zhang. "Seawater Dual Parametric Fiber Optic Temperature and Pressure Sensors Demodulated by Machine Learning Method." Journal of Physics: Conference Series 2718, no. 1 (March 1, 2024): 012049. http://dx.doi.org/10.1088/1742-6596/2718/1/012049.

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Abstract By employing polydimethylsiloxane (PDMS) characterized by elevated thermo-optical and elastic-optical coefficients for encapsulating an optical microfiber coupler integrated with a sagnac loop (OMCSL) structure, which exhibits large abrupt field characteristics, a fiber optic sensor capable of simultaneously measuring seawater temperature and pressure can be created. Nevertheless, the utilization of the traditional sensitivity matrix method (SMM) for demodulating the sensor led to unstable and considerably erroneous demodulation results. To enhance the accuracy of the demodulation process, this paper investigates and employs a machine learning method (MLM) for sensor demodulation. This paper centers on the investigation and application of MLM for sensor demodulation. The experimental results exhibit a significant decrease in demodulation error attained via MLM when contrasted with the traditional SMM.
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Chen, Xian Qing, Shu Bo Song, and Wu Zhou. "Demodulation of a M-Ray Position Phase Shift Keying System Using Multi-Class Support Vector Machine Classification." Applied Mechanics and Materials 687-691 (November 2014): 3840–43. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.3840.

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In this paper, we introduce a new approach for nonlinear demodulation based on multi-class support vector machine (SVM) classification. We propose to measure the performance of this demodulator with different M which is the parameter of M-ray position phase shift keying (MPPSK) modulation, and compare with other demodulation technique. During demodulation, a few sampling points are chosen for multi-class SVM training and testing, which can reduce the complexity of system. Simulation results show that this new approach significantly outperforms the method of using Phase Locked Loop (PLL) demodulation by 10dB, and also better than Back Propagation Artificial Neural Networks (ANN-BP) classification demodulation. With the growth of M, the data rate increased and the performance become a little worse, but less bit SNR is used to achieve the same Symbol Error Rate (SER) as small M. So, it is an effective method to get better performance by using multi-class SVM classification technique for demodulation in MPPSK system.
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Peng, Kang-Chun, and Chan-Hung Lee. "A Novel Quadrature-Tracking Demodulator for LTE-A Applications." Wireless Communications and Mobile Computing 2018 (2018): 1–8. http://dx.doi.org/10.1155/2018/8712414.

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This work develops an advanced quadrature-tracking demodulation technique for coherently demodulating the orthogonal frequency-division multiplexing (OFDM) signal of LTE-A systems. To overcome the fact that traditional coherent demodulators are extremely sensitive to the quadrature imbalance of a system, especially an OFDM system, the proposed architecture uses a novel quadrature phase-locked loop (QPLL) to track simultaneously the in phase (I-phase) and the quadrature phase (Q-phase) of the received signal. This advanced quadrature-tracking demodulator is realized using TSMC 0.18 μm CMOS technology and hybrid circuits. Experimental results indicate that the developed quadrature-tracking demodulator, which operates at 2.1~2.5 GHz, can effectively demodulate an 18 Mbps LTE-A signal, even with a 15 degree quadrature imbalance.
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Zhu, Shou Zhong, Zheng Liu, and Wen Li Jiang. "Counteraction of Constant Modulus Demodulation Scheme for Mixing Space Borne AIS Signals." Applied Mechanics and Materials 340 (July 2013): 523–28. http://dx.doi.org/10.4028/www.scientific.net/amm.340.523.

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Demodulation scheme was proposed in satellite systems to received Automatic Identification Systems (AIS) signals, with the potential presence of other interfering signals. The counteraction of constant modulus demodulation scheme, referred to as CCMDS, yields a set of single short signals based on the prior information of AIS after estimating the frequency, code rate and modulation index. It demodulates the corresponding short codes according to the constant modulus characters of GMSK signals. The proposed demodulation scheme is simple and easy to implement. Simulations show the satisfying performance and engineering value in demodulating the mixing AIS signals.
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Li, Peng Fei, Jin Ping Li, and Xin Zhao. "Design and Simulation of 2PSK Modem." Applied Mechanics and Materials 321-324 (June 2013): 2914–18. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.2914.

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Based on the principle of the modulation and demodulation of Binary Phase Shift Keying(2PSK),a mathematical model for the modulation and demodulation of the 2PSK was built and the carrier signal was designed using the technology of Direct Digital Synthesis (DDS).Then,a model to simulate the hardware circuit of the modulation and demodulation of 2PSK was built,and then analyzed in Matlab and Modelsim.Simulation results show that the model not only properly realizes the function of 2PSK modulator-demodulator,but it also simplifies the hardware circuit and reduces the programming time.
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PAVLOV, I. I., M. C. PAVLOVA, E. S. ABRAMOVA, S. S. ABRAMOV, A. KHAN, and YU S. SHCHERBAKOV. "MODIFIED INVARIANT AMPLITUDE MODULATION WITH TWO REFERENCE SIGNALS." T-Comm 17, no. 6 (2023): 13–22. http://dx.doi.org/10.36724/2072-8735-2023-17-6-13-22.

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The model of modified invariant amplitude modulation and demodulation with two reference signals considered in the article belongs to the field of systems, networks and devices of telecommunications and radio engineering and can be used in radio transmitting devices, telecommunication systems and devices where an amplitude-modulated transmitted signal is required for transmission through a communication channel. The achieved technical result of the modified invariant amplitude modulation and demodulation with two reference signals is aimed at the possibility of forming an amplitude-modulated transmitted signal with increased noise immunity characteristics to a specific type of interference. Algorithms of modified invariant amplitude modulation and demodulation with two reference signals are proposed, and based on these algorithms, block diagrams of a modified invariant amplitude modulator and a demodulator with two reference signals were developed. In order to obtain experimental data for the analysis of a modified invariant amplitude modulation and demodulation with two reference signals when it is affected by interference in the communication channel, the communication system was simulated and the necessary data calculated in Matlab. Additive white Gaussian noise was chosen as an interference in the communication channel. The article presents a simplified block diagram of the communication system of the experimental model. To compare the results, modified invariant amplitude modulation and demodulation with two reference signals will be used as a modulator and demodulator, in the first case, and in the second case, amplitude modulation and demodulation. As a result, estimates of the dependence of the standard deviation on the value of the signal-to noise ratio and the probability of a bit error on the value of the signal-to-noise ratio were obtained. The standard deviation for modified invariant amplitude modulation and demodulation with two reference signals has significantly lower values than the standard deviation for amplitude modulation and demodulation. The transmission of information with the same reliability through a communication channel with a modified invariant amplitude modulation with two reference signals requires a significantly higher signal-to-noise ratio than transmission through a communication channel with amplitude modulation.
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Grzesiak, Krystian, and Zbigniew Piotrowski. "NN-Based 8FSK Demodulator for the Covert Channel." Sensors 22, no. 19 (September 21, 2022): 7181. http://dx.doi.org/10.3390/s22197181.

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In this article, a superposition-based covert channel and its demodulator were proposed and examined. As a covert waveform, an 8FSK modulation was selected. The impact of the channel estimation error and resulting imperfect SIC operation (successive interference cancelation) on the covert information demodulation process was considered. Especially for this imperfection, an NN-based demodulator was proposed. The superiority of this solution over the traditional 8FSK correlator-based receiver was examined for various cases, including the hard- and soft-decision detectors. It was proven that, although NN does not provide BER values equal to zero, even for the perfect SIC, it generally overcomes the traditional correlator-based 8FSK demodulator. Simulation results showed that the NN-base demodulator, in the case of additional covert channel coding, provides error-free demodulation, even for four-times greater channel gain error.
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Dissertations / Theses on the topic "Demodulation"

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Laster, Jeffery D. "Robust GMSK Demodulation Using Demodulator Diversity and BER Estimation." Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/30618.

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This research investigates robust demodulation of Gaussian Minimum Shift Keying (GMSK) signals, using demodulator diversity and real-time bit-error-rate (BER) estimation. GMSK is particularly important because of its use in promi- nent wireless standards around the world (GSM, DECT, CDPD, DCS1800, and PCS1900). The dissertation begins with a literature review of GMSK demodu- lation techniques (coherent and noncoherent) and includes an overview of single- channel interference rejection techniques in digital wireless communications. Vari- ous forms of GMSK demodulation are simulated, including the limiter discrimina- tor and di erential demodulator (i.e., twenty-five variations in all). Ten represent new structures and variations. The demodulator performances are evaluated in realistic wireless environments, such as additive white Gaussian noise, co-channel interference, and multipath environments modeled by COST207 and SMRCIM. Certain demodulators are superior to others for particular channel impairments, so that no demodulator is necessarily the best in every channel impairment. This research formally introduces the concept of demodulator diversity, a new idea which consists of a bank of demodulators which simultaneously demodulate the same signal and take advantage of the redundancy in the similar signals. The dissertation also proposes practical real-time BER estimation techniques which have tremendous ramifications for communications. Using Parzen's estimator for probability density functions (pdfs) and Gram-Charlier series approximation for pdfs, BER can be estimated using short observation intervals (10 to 500 training symbols) and, in some cases, without any training sequence. We also introduce new variations of Gram-Charlier estimation using robust estimators. BER (in place of MSE) can now drive adaptive signal processing. Using a cost function and gradient for Parzen's estimator (derived in this paper), BER estimation is applied to demodulator diversity with substantial gains of 1-10 dB in carrier- to-interference ratio over individual receivers in realistic channels (with adaptive selection and weighting). With such gains, a BER-based demodulator diversity scheme can allow the employment of a frequency reuse factor of N = 4, instead of N = 7, with no degradation in performance. A lower reuse factor means more channels are available in a cell, thus increasing overall capacity. The resulting techniques are simple and easily implemented at the mobile. BER estimation techniques can also be used in BER-based equalization and dynamic allocation of resources.
Ph. D.
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Ahmad, Jamil. "All digital OQPSK demodulation for an on-board processing multicarrier demodulator." Thesis, University of Surrey, 1992. http://epubs.surrey.ac.uk/843678/.

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New payload concepts of low cost earth stations for future mobile satellite communications can only be realised by using dedicated on-board processing satellites. The satellite uplink and downlink are optimised by the use of FDMA/SCPC for uplink and TDM on the down link. This scheme allows mobile transmitters to transmit a narrow band, low power signal, resulting in smaller dishes and HPAs with lower output power. On the uplink, there are hundreds of FDM channels to be demodulated on-board. The most promising approach is the use of all-digital multicarrier demodulators (MCDs), where analogue and digital hardware are efficiently shared amongst the channels and digital signal processing is used at an early stage to take advantage of VLSI technology. A MCD consists of a channeliser for separation of FDM channels followed by individual demodulators for each channel. The major research areas in MCD's are efficient implementation of channelisers and the optimal demodulation algorithms for the demodulator. This thesis is focused on the demodulator part of an MCD using OQPSK modulation which haye received attention recently due to its spectral advantages in non-linear mobile satellite channels. Most of the research carried out on the OQPSK modulation has been addressed to its spectral performance under satellite channel non-linearities, but little attention has been paid to efficient receiver designs. The most important requirements of the demodulator in a mobile environment is fast acquisition with minimum overhead. This over-head includes long preambles in data frames to aid the acquisition of the carrier and the symbol timing recovery loops. In this thesis, research on preambleless all-digital demodulators for OQPSK has been carried out. The performance of the most suitable OQPSK synchronisation algorithms have been evaluated using extensive computer simulations. These algorithms have been selected after a comprehensive survey of digital synchronisation techniques. It is shown how these algorithms are related to the maximum likelihood (ML) principle and these algorithms are classified according to their technique of parameter extraction from the likelihood function. The synchronisation problems associated with OQPSK are pointed out with possible solutions. On the basis of the performance results of individual synchronisers, various demodulation algorithms for OQPSK have been developed for fixed, mobile and deep space applications. The DSP implementation of the all- digital OQPSK demodulator developed for the MCD for mobile applications is described in detail and its performance compared with simulation results.
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Erdem, Ozden. "Chaotic Demodulation Under Interference." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607690/index.pdf.

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Chaotically modulated signals are used in various engineering areas such as communication systems, signal processing applications, automatic control systems. Because chaotically modulated signal sequences are broadband and noise-like signals, they are used to carry binary signals especially in secure communication systems. In this thesis, a target tracking problem under interference at chaotic communication systems is investigated. Simulating the chaotic communication system, noise-like signal sequences are generated to carry binary signals. These signal sequences are affected by Gaussian channel noise and interference while passing through the communication channel. At the receiver side, target tracking is performed using Optimum Decoding Based Smoothing Algorithm. The estimation performances of optimum decoding based smoothing algorithm at one dimensional chaotic systems and nonlinear chaotic algorithm map are presented and compared with the performance of the Extended Kalman Filter application.
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Brooks, Paul. "Acousto-optic FM demodulation." Thesis, University of Southampton, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240983.

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Wang, John Szeming. "Motion-compensated NTSC demodulation." Thesis, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/14513.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1989.
Includes bibliographical references (p. 201-207).
by John Szeming Wang.
Ph.D.
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Ozturk, Uygar. "Chaotic Digital Modulation And Demodulation." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/2/12606895/index.pdf.

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This thesis considers a communication system with chaotic modulation. Noise-like signals are generated by chaotic systems with different parameters to modulate binary digital signals. Demodulation is performed by both the Extended Kalman Filter (EKF) and Optimum Decoding Based Smoothing Algorithm (ODSA). Simulations are performed using both of these algorithms for different parameters affecting the performance of the communication system. Simulation results of these algorithms are compared.
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Meisingseth, Andreas. "Demodulation Techniques in Gearbox Diagnostics." Thesis, Uppsala universitet, Signaler och System, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-177275.

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This thesis covers the scope of one out of many ways to diagnose gearboxes, demodulating the excited vibrational signals to enhance fault detection and identification. The topic is not only of academic interest since the achievements that can be made by successful machine condition monitoring in the industry. It has a potential value that is close to be absurd, for example unplanned production stops is commonly known to be one of the worst nightmares for manufacturing companies and if one can detect faults in early stages one can improve the possibilityto plan a production stop and therefore increase the profit. Four demodulation algorithms were developed and implemented in MATLAB on data characterized by close to stationarity and distinctive energy centered around the harmonics of the gearmesh frequency. The resulting algorithms for narrowband phase and amplitude demodulation was shown to outperform Hilbert transform based phase and amplitude demodulation algorithms in gearbox diagnostics. One of the goals with the thesis was therefore reached; demodulation algorithms were developed and implemented on data. A comparison of these algorithms was done and a conclusion of which demodulation technique is superior was done. Experimental work was carried out on a test-rig and both local and distributed faults were introduced to two gearboxes, one kind of fault per gearbox. However, the data acquired from the test-rig showed severe non-stationarity and smeared spectrum properties even when angular resampling was performed and therefore a major drawback of the demodulation techniques was exploited since the methods for demodulation in this thesis are not applicable for signals with smeared spectrums. The other goal was therefore not accomplished; to distinguish a local fault from a distributed fault in data acquired by experimental work by applying the selected demodulation techniques.
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Weikert, Oomke Einar. "Blinde Demodulation in MIMO-Übertragungssystemen." Berlin dissertation.de, 2007. http://www.dissertation.de/buch.php3?buch=5228.

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Goh, J. G. "Advanced noncoherent demodulation and decoding." Thesis, University of Cambridge, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.599459.

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This dissertation is concerned with some advanced noncoherent communication techniques. In many practical cases, phase coherent communication is not desired or impractical due to its disadvantages of long acquisition time, data loss in phase estimation overhead, loss of lock associated with a phase estimation circuitry and high performance loss resulting from phase estimation error. The dissertation is divided into three main parts. In the first part, a new noncoherent detection scheme called the Noncoherent Viterbi algorithm (NVA) for constant amplitude signals is presented. In this algorithm, a complex path is derived for each state of the trellis, and the complex paths are then used to compute the path metrics. The algorithm is applied in Trellis-coded multilevel PSK and uncoded continuous phase modulation (CPM). It is shown analytically that the performance of NVA approaches that of the coherent detection, in a constant phase channel. A forgetting factor is introduced in order for the algorithm to dynamically track the channel. The bit error probabilities and lower bounds which are derived in terms of the forgetting factor provide an insight of the sensitivity of a scheme with respect to the channel phase noise. In the presence of random walk phase noise, the NVA is superior to the decision directed phase-locked loop (DDPLL). The second part of the dissertation presents the application of parallel concatenated codes with a recently discovered iterative decoding, namely 'Turbo-codes', to various types of binary noncoherent channels in AWGN as well as Rayleigh fading environments. The metrics of the binary noncoherent schemes are derived for the two popular iterative decoding algorithms: maximum a posteriori (MAP) algorithm and soft-output Viterbi algorithm (SOVA). Performance of iterative decoding in coherent and noncoherent detections are compared. As in the coherent channel, Turbo-codes converge well in the noncoherent channels investigated and outperform the conventional convolutional codes by a large margin. In the third part, the multiple-access capabilities of two types of noncoherent frequency-hopped code-division multiple-access channels have been studied and compared.
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Griffin, Anthony. "Coding CPFSK for differential demodulation." Thesis, University of Canterbury. Electrical and Electronic Engineering, 2000. http://hdl.handle.net/10092/6031.

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A differential encoder is developed that preserves the phase trellis of continuous phase frequency shift keying (CPFSK) through differential demodulation. This differential encoder interfaces well with the decomposed model of CPFSK, creating a decomposed model of differentially-encoded and differentially-demodulated CPFSK (DCPFSK). The normalised minimum squared Euclidean distance d2min of uncoded DCPFSK is calculated. A code search model is developed, allowing codes over rings to be specifically designed for DCPFSK. The results of code searches show that there is very little loss in d2min when comparing coded DCPFSK systems with coherently-demodulated coded CPFSK systems. The performance of uncoded and coded DCPFSK systems in both additive white Gaussian noise (AWGN) and Rayleigh flat fading is analysed and simulated. DCPFSK is shown to be relatively robust to medium to slowly-varying fading, without the use of any additional techniques. Rate-1/2 encoded quaternary DCPFSK with modulation index h = 1/4 is compared with coherently-demodulated uncoded MSK and differentially-encoded and differentially- demodulated minimum shift keying (DMSK) without error-control coding, in AWGN and Rayleigh flat fading. The coded system shows that significant performance improvement can be obtained through simple coding, particularly in Rayleigh flat fading.
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Books on the topic "Demodulation"

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Mason, Thomas Gordon Beck. Phase demodulation of interferometric fiber-optic sensors. [Downsview, Ont.]: University of Toronto, Institute for Aerospace Studies, 1992.

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Mason, Thomas Gordon Beck. Phase demodulation of interferometric fiber-optic sensors. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1993.

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Zhao, C. L. Computer demodulation: A new technique for comparison receivers. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1985.

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Sikarev, A. A. Funkt͡s︡ionalʹno ustoĭchivye demoduli͡a︡tory slozhnykh signalov. Moskva: "Radio i svi͡a︡zʹ", 1988.

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Bedrosian, Edward. Amplitude and phase demodulation of filtered AM/PM signals. Santa Monica, CA: Rand, 1986.

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Chappell, Laurie. Development of a tunable laser based bragg grating demodulation system. Ottawa: National Library of Canada, 1998.

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Hu, Xiaoyun. A switched-current sample-and-hold amplifier for FM demodulation. Ottawa: National Library of Canada, 1995.

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Grigory, Adamovsky, Floyd Bertram, and NASA Glenn Research Center, eds. Demodulation system for fiber optic Bragg grating dynamic pressure sensing. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

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Chappell, Laurie. Development of a tunable laser based bragg grating demodulation system. [Toronto]: Dept. of Aerospace Engineering, University of Toronto, 1998.

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Janzen, Douglas D. A pseudo-heterodyne demodulation system for remote fiber-optic strain sensors. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1992.

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Book chapters on the topic "Demodulation"

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Connor, Frank R. "Demodulation." In Modulation, 89–120. Wiesbaden: Vieweg+Teubner Verlag, 1989. http://dx.doi.org/10.1007/978-3-322-87811-3_6.

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Geißler, Rainer, Werner Kammerloher, and Hans Werner Schneider. "Demodulation." In Berechnungs- und Entwurfsverfahren der Hochfrequenztechnik 1, 178–211. Wiesbaden: Vieweg+Teubner Verlag, 1993. http://dx.doi.org/10.1007/978-3-322-84915-1_4.

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Weik, Martin H. "demodulation." In Computer Science and Communications Dictionary, 384. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_4701.

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Weik, Martin H. "synchronous demodulation." In Computer Science and Communications Dictionary, 1710. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_18806.

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Weik, Martin H. "isochronous demodulation." In Computer Science and Communications Dictionary, 839. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_9620.

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Weik, Martin H. "demodulation linearity." In Computer Science and Communications Dictionary, 384. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_4702.

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Ortquist, B. R., and D. T. Hayford. "Barkhausen Demodulation." In Review of Progress in Quantitative Nondestructive Evaluation, 1709–16. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-1987-4_219.

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Kammeyer, Karl-Dirk. "Prinzipien der Demodulation." In Nachrichtenübertragung, 317–64. Wiesbaden: Vieweg+Teubner Verlag, 2004. http://dx.doi.org/10.1007/978-3-322-94062-9_10.

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Gier, K. M., C. Heckel, J. Reutter, W. Schmid, S. Schmoll, and H. Tschiesche. "Modulation und Demodulation." In Taschenbuch der Hochfrequenztechnik, 1–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-58105-2_1.

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Protopopov, Vladimir. "Modulation-Demodulation Techniques." In Practical Opto-Electronics, 111–42. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04513-9_4.

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Conference papers on the topic "Demodulation"

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Jetter, Volker, and René Müller. "Optical Demodulation Phase Measurement Technique for 3D-Camera Application." In The European Conference on Lasers and Electro-Optics. Washington, D.C.: Optica Publishing Group, 1996. http://dx.doi.org/10.1364/cleo_europe.1996.cwf48.

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Three dimensional inspection techniques for industrial applications are normally based on either photogrammetric, triangulation or time-of-flight techniques. Combining the latter with an optical demodulation method offers the possibility to obtain 2D and 3D information of a scene. The target is illuminated by a high frequency intensity modulated laser beam. An imaging system forms an intermediate image inside an electro-optic modulator and finally a CCD-camera captures the 3D-image of the object where the intensity of each camera pixel corresponds to the phase shift and therefore the distance between the illuminated object pixel and the optical demodulator.
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Duho Kim, Young-kwang Seo, Hyunchin Kim, and Woo-young Choi. "A 622Mb/s BPSK demodulator with mixed-mode demodulation scheme." In 2007 IEEE Asian Solid-State Circuits Conference. IEEE, 2007. http://dx.doi.org/10.1109/asscc.2007.4425687.

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Song, Qingguo, Yuze Dai, Xiangpeng Xiao, Weiliang Zhao, Qizhen Sun, Qi Yang, and Zhijun Yan. "Demodulation system for WDM/TDM-based UWFBG array employed a compact fiber grating spectrometer." In CLEO: Applications and Technology. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/cleo_at.2023.jtu2a.62.

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We have proposed an UWFBG array demodulation system based on compact fiber grating spectrometer which has a resolution of 3 pm. The demodulation system can realize the demodulation of hundreds of FBGs.
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Liu, Lu, Yi-Chao Song, and Xu-Zong Chen. "A Novel Demodulation Scheme in the Digital Readout System for a Micro-Machined Gyroscope." In 2007 First International Conference on Integration and Commercialization of Micro and Nanosystems. ASMEDC, 2007. http://dx.doi.org/10.1115/mnc2007-21400.

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A novel demodulation scheme with Sage-Husa adaptive Kalman filtering algorithm is presented for the digital readout system of a micro-machined gyroscope. Based on the analysis of the detection signal from gyroscope, a mathematical model of the detection signal is established in the condition of the additive white Gaussian noise, and the state and observation model for the demodulation scheme are also given. Moreover, the simulation system is built by the Matlab/Simulink. Assuming the input signal of angular velocity is the step or sine function, and the statistical characteristics of the noise in the detection signal are unknown, simulations are given to demodulate the detection signal with different SNRs (signal-to-noise ratio). In addition, the phase sensitive demodulation scheme in the analog readout system is simulated for comparison. Results show that, the demodulation gains reach +24.23dB (input SNR is above −12.04dB) and +23.92dB (input SNR is above −16.99dB) respectively when the angular velocity input is Ω = 0.005[deg/s] for the step function, while Ω = 0.005 sin(2π × 50t)[deg/ s] for the sine function. Meanwhile, the demodulation gain increases along with the decreasing SNR of the detection signal. Compared with the analog phase sensitive demodulation scheme, the demodulation output with Sage-Husa adaptive Kalman algorithm has the shorter convergence time, but about 5dB higher of MSE (mean square error). In conclusion, the novel demodulation scheme with Sage-Husa adaptive Kalman filtering algorithm can real-timely and precisely estimate the covariance of dynamic noise in the detection signal from gyroscope, and increase the SNR of the demodulation signals dramatically. It can demodulate the angular velocity accurately and quickly, and shows a good practicability.
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Wang, Wei, Youwei An, Zhang Huang, Yu Pang, and Keng Yang. "Decrease the demodulation threshold in FM demodulator with quadratic de-noising method." In 2011 International Conference on Electronics, Communications and Control (ICECC). IEEE, 2011. http://dx.doi.org/10.1109/icecc.2011.6066501.

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Reed, J., and T. Hsia. "Decision directed adaptive demodulation." In 1985 24th IEEE Conference on Decision and Control. IEEE, 1985. http://dx.doi.org/10.1109/cdc.1985.268715.

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Gomes, Marco, Vitor Silva, Francisco Cercas, and Martin Tomlinson. "Soft-iterative magnitude demodulation." In GLOBECOM 2014 - 2014 IEEE Global Communications Conference. IEEE, 2014. http://dx.doi.org/10.1109/glocom.2014.7037303.

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Punchalard, R., J. Koseeyaporn, and P. Wardkein. "Novel digital FM Demodulation." In TENCON 2009 - 2009 IEEE Region 10 Conference. IEEE, 2009. http://dx.doi.org/10.1109/tencon.2009.5395789.

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Nelson, D. J., and J. R. Hopkins. "GMSK co-channel demodulation." In SPIE Optical Engineering + Applications, edited by Mark S. Schmalz, Gerhard X. Ritter, Junior Barrera, Jaakko T. Astola, and Franklin T. Luk. SPIE, 2009. http://dx.doi.org/10.1117/12.825196.

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Marazzi, Lucia, Paola Parolari, Marco Brunero, Maddalena Ferrario, Davide Gatti, Stefano Longhi, and Mario Martinelli. "Brillouin-based DPSK Demodulation." In CLEO: Science and Innovations. Washington, D.C.: OSA, 2011. http://dx.doi.org/10.1364/cleo_si.2011.ctux3.

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Reports on the topic "Demodulation"

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Poor, H. V., and Sergio Verdu. Adaptive Multiuser Demodulation. Fort Belvoir, VA: Defense Technical Information Center, May 1997. http://dx.doi.org/10.21236/ada328328.

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Noga, Andrew J. Numerical FM Demodulation Enhancements. Fort Belvoir, VA: Defense Technical Information Center, June 1996. http://dx.doi.org/10.21236/ada311269.

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Feth, Lawrence L. Demodulation Processes in Auditory Perception. Fort Belvoir, VA: Defense Technical Information Center, March 1992. http://dx.doi.org/10.21236/ada250203.

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Feth, Lawrence L. Demodulation Processes in Auditory Perception. Fort Belvoir, VA: Defense Technical Information Center, March 1990. http://dx.doi.org/10.21236/ada226824.

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Seim, John, Whitten L. Schulz, Eric Udd, and Mike Morrell. Higher Speed Demodulation of Fiber Grating Sensors. Fort Belvoir, VA: Defense Technical Information Center, January 1999. http://dx.doi.org/10.21236/ada451133.

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Meehan, T., F. Kragh, and K. Clark. Joint Demodulation of Low-Entropy Narrowband Cochannel Signals. Fort Belvoir, VA: Defense Technical Information Center, January 2007. http://dx.doi.org/10.21236/ada517874.

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Shaw, G. A., and S. C. Pohlig. I/Q Baseband Demodulation in the RASSP SAR Benchmark. Fort Belvoir, VA: Defense Technical Information Center, August 1995. http://dx.doi.org/10.21236/ada298815.

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Lin, Chun-Ching. Demodulation of Narrowband Radio Frequency Signals by Aliasing Sampling. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.7159.

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Irizarry, Alfredo V. Polyphase Filter and Demodulation Techniques for Optimizing Signal Collection Processing. Fort Belvoir, VA: Defense Technical Information Center, February 2003. http://dx.doi.org/10.21236/ada412239.

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Yerramalli, Srinivas, Milica Stojanovic, and Urbashi Mitra. Partial FFT Demodulation: A Detection Method for Doppler Distorted OFDM Systems. Fort Belvoir, VA: Defense Technical Information Center, June 2010. http://dx.doi.org/10.21236/ada531988.

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