Relevant bibliographies by topics / 090609 Signal Processing

Academic literature on the topic '090609 Signal Processing'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Dissertations / Theses on the topic "090609 Signal Processing"

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Ford, Jason. "Adaptive hidden Markov model estimation and applications." Thesis, Australian National University, 1998. https://eprints.qut.edu.au/108491/1/jasonford.pdf.

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Initially introduced in the late 1960's and early 1970's, hidden Markov models (HMMs) have become increasingly popular in the last decade. The major reason for the increasing popularity of HMMs has been the richness of the model class and the power of the signal processing tools. In this thesis we propose several algorithms for estimation of HMM parameters. Initially, we propose recursive prediction error algorithms for separately estimating the state values and the state transition probability matrix. Local convergence results and corresponding convergence rates are obtained via an ordinary differential equation (ODE) approach. Suboptimal extended least squares algorithms are also presented and convergence results are established in idealized situations. These algorithms exploit the discrete-valued nature of HMMs. Following this, globally convergent parameter estimators for HMMs are presented. These estimators have parallels to the well known Baum-Welch EM algorithm for off-line estimation of HMM parameters. Almost sure convergence results and convergence rates results are established using martingale convergence results, the Kronecker lemma and an ODE approach. This inspires the proposal of globally convergent parameter estimators for partially observed linear systems and hybrid linear systems. Almost sure convergence results are established using martingale convergence results, the Kronecker lemma and an ODE approach. Finally, as a contribution towards applications, optimal HMM filters are developed for demodulation of differentially encoded transmission systems and a decision feedback equalizer is proposed.
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Ford, Jason. "Adaptive hidden Markov model estimation and applications." Phd thesis, Australian National University, 1998. http://hdl.handle.net/1885/145631.

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Initially introduced in the late 1960's and early 1970's, hidden Markov models (HMMs) have become increasingly popular in the last decade. The major reason for the increasing popularity of HMMs has been the richness of the model class and the power of the signal processing tools. In this thesis we propose several algorithms for estimation of HMM parameters. Initially, we propose recursive prediction error algorithms for separately estimating the state values and the state transition probability matrix. Local convergence results and corresponding convergence rates are obtained via an ordinary differential equation (ODE) approach. Suboptimal extended least squares algorithms are also presented and convergence results are established in idealized situations. These algorithms exploit the discrete-valued nature of HMMs. Following this, globally convergent parameter estimators for HMMs are presented. These estimators have parallels to the well known Baum-Welch EM algorithm for off-line estimation of HMM parameters. Almost sure convergence results and convergence rates results are established using martingale convergence results, the Kronecker lemma and an ODE approach. This inspires the proposal of globally convergent parameter estimators for partially observed linear systems and hybrid linear systems. Almost sure convergence results are established using martingale convergence results, the Kronecker lemma and an ODE approach. Finally, as a contribution towards applications, optimal HMM filters are developed for demodulation of differentially encoded transmission systems and a decision feedback equalizer is proposed.
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Claveria, Joevis J. "Implementation of a digital signal processing (DSP) boost inverter for fuel cell energy generation." Thesis, 2014. https://vuir.vu.edu.au/24841/.

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This thesis investigates and implements the use of a microprocessor called Digital Signal Processors (DSP) as a controller in the design of a low power inverter used in Fuel Cell energy source. The fuel cell used in this research is a Heliocentris “Constructor”, a 50W proton exchange membrane (PEM) fuel cell. Fuel Cells are becoming popular and are likely to be used in applications such as a backup power, portable electronic devices, independent power source generator, promising alternative fuel for vehicles and a source generator to supply the electrical grid.
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Le, Hai Phuong. "Design and implementation of a reconfigurable data acquisition integrated circuit." Thesis, 2005. https://vuir.vu.edu.au/15625/.

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Signal processing is a technique that is used to gather data from real world and make sense of it. For some time, engineers have attempted to develop electronic systems able to extract and process the real world signals and turn them into useful data. Initially this development was done using analog technology. However, since the digital signal processor has developed rapidly due to integrated circuit (IC) technology over the past 20 years, engineers have turned to digital signal processing as a more advanced and convenient method [1]. Data acquisition (DAQ) systems are, therefore, inevitably necessary, as they are the interface between analog and digital world. They have become crucial in a wide range of applications, including biomedical research, geophysics, gravitation measurements, telecommunication, power fault analysis, manufacturing process control and a wide variety of other test/measurement intensive fields. The primary objective of this research is to design and implement a reconfigurable DAQ system on a single IC for a multi-channel, high-speed, high accuracy microprocessor-based relay for power system protection application; for multi-channel, low-power biomedical instrumentation application and any multi-rate signal systems, e.g. process control application.
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Bridges, Paul A. "Digital demodulation techniques for radio channels." Thesis, 1993. https://vuir.vu.edu.au/15572/.

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The basis of this research is directed towards the Private Mobile Radio (PMR) networks, which play significant roles in taxi, police, ambulance and other such services. With an ever increasing need for data transmission, the current PMR systems which were designed for voice are not adequate. This research will examine a digital modulation scheme which can co-exist with an analog system. The generation of the digital modulation will be examined in terms of Adjacent Channel Interference (ACI) requirements. Simulation techniques for the mobile radio channel are discussed, for evaluation of demodulator performance. Existing demodulation techniques were reviewed, with several of these simulated to find the most appropriate demodulation scheme for this application. This included the development of a new detection scheme. A test system using Digital Signal Processing (DSP) techniques was constructed.
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Book chapters on the topic "090609 Signal Processing"

1

De Smedt, Valentijn, Georges Gielen, and Wim Dehaene. "Introduction." In Analog Circuits and Signal Processing, 1–28. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09003-0_1.

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De Smedt, Valentijn, Georges Gielen, and Wim Dehaene. "Conclusion." In Analog Circuits and Signal Processing, 307–15. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09003-0_10.

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De Smedt, Valentijn, Georges Gielen, and Wim Dehaene. "Oscillators and Time References." In Analog Circuits and Signal Processing, 31–59. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09003-0_2.

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De Smedt, Valentijn, Georges Gielen, and Wim Dehaene. "Jitter and Phase Noise in Oscillators." In Analog Circuits and Signal Processing, 61–90. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09003-0_3.

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De Smedt, Valentijn, Georges Gielen, and Wim Dehaene. "Long-term Oscillator Stability." In Analog Circuits and Signal Processing, 91–135. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09003-0_4.

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De Smedt, Valentijn, Georges Gielen, and Wim Dehaene. "Design of Two Wien Bridge Oscillators." In Analog Circuits and Signal Processing, 139–72. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09003-0_5.

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De Smedt, Valentijn, Georges Gielen, and Wim Dehaene. "The Pulsed Oscillator Topology." In Analog Circuits and Signal Processing, 173–207. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09003-0_6.

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De Smedt, Valentijn, Georges Gielen, and Wim Dehaene. "Injection-Locked Oscillators." In Analog Circuits and Signal Processing, 209–56. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09003-0_7.

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De Smedt, Valentijn, Georges Gielen, and Wim Dehaene. "Oscillator-Based Sensor Interfaces." In Analog Circuits and Signal Processing, 257–92. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09003-0_8.

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De Smedt, Valentijn, Georges Gielen, and Wim Dehaene. "Design of a Low-Power Wireless RFID Tag." In Analog Circuits and Signal Processing, 295–305. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09003-0_9.

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