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Design and realization of switched capacitor filtersYassine, Hatem Mahmoud January 1985 (has links)
No description available.
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Study and Realisation of Nyquist Rate Filters in Voltage Inverter Switch TechniqueBharadhwaj, Harsha January 2006 (has links)
<p>Low-sensitivity switched capacitor filters imitating 'R','L' and 'C' can be built by means of capacitances, ordinary switches and voltage inverter switches (VIS). These structures carry the inherent bilinear transformation of their doubly resistively terminated ladder reference filters. This one to one correspondence between the 's-domain' and the 'z-domain' results in the Nyquist criterion being the only limitation on the sampling frequency. This eliminates the necessity for oversampling and VIS filters can be designed for high operating rates.</p><p>Filters based on VIS principle were analysed in previous literatures in the 'phi-domain'. In this thesis work, a successful attempt has been made to formulate an analysis procedure for discrete-time filters based on VIS principle in the 'z-domain'. Significant details have been brought out in comparison with the respective reference filter. A fifth-order lowpass filter has been designed and implemented to exhibit the closeness to the bilinearly transformed continuous-time reference filter. Settling time analysis has been done to justify the need for filters using VIS principle as compared to the filters employing integrator based switched capacitor filter. It is shown that VIS filter can be made to settle within half the period required for a conventional integrator based switched capacitor filter.</p>
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Study and Realisation of Nyquist Rate Filters in Voltage Inverter Switch TechniqueBharadhwaj, Harsha January 2006 (has links)
Low-sensitivity switched capacitor filters imitating 'R','L' and 'C' can be built by means of capacitances, ordinary switches and voltage inverter switches (VIS). These structures carry the inherent bilinear transformation of their doubly resistively terminated ladder reference filters. This one to one correspondence between the 's-domain' and the 'z-domain' results in the Nyquist criterion being the only limitation on the sampling frequency. This eliminates the necessity for oversampling and VIS filters can be designed for high operating rates. Filters based on VIS principle were analysed in previous literatures in the 'phi-domain'. In this thesis work, a successful attempt has been made to formulate an analysis procedure for discrete-time filters based on VIS principle in the 'z-domain'. Significant details have been brought out in comparison with the respective reference filter. A fifth-order lowpass filter has been designed and implemented to exhibit the closeness to the bilinearly transformed continuous-time reference filter. Settling time analysis has been done to justify the need for filters using VIS principle as compared to the filters employing integrator based switched capacitor filter. It is shown that VIS filter can be made to settle within half the period required for a conventional integrator based switched capacitor filter.
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Reduced Area Discrete-Time Down-Sampling Filter Embedded With Windowed Integration SamplersRaviprakash, Karthik 2010 August 1900 (has links)
Developing a flexible receiver, which can be reconfigured to multiple standards,
is the key to solving the problem of embedding numerous and ever-changing
functionalities in mobile handsets. Difficulty in efficiently reconfiguring analog blocks
of a receiver chain to multiple standards calls for moving the ADC as close to the
antenna as possible so that most of the processing is done in DSP. Different standards
are sampled at different frequencies and a programmable anti-aliasing filtering is needed
here. Windowed integration samplers have an inherent sinc filtering which creates nulls
at multiples of fs. The attenuation provided by sinc filtering for a bandwidth B is directly
proportional to the sampling frequency fs and, in order to meet the anti-aliasing
specifications, a high sampling rate is needed. ADCs operating at such a high
oversampling rate dissipate power for no good use. Hence, there is a need to develop a
programmable discrete-time down-sampling circuit with high inherent anti-aliasing
capabilities. Currently existing topologies use large numbers of switches and capacitors
which occupy a lot of area.A novel technique in reducing die area on a discrete-time sinc2 ↓2 filter for
charge sampling is proposed. An SNR comparison of the conventional and the proposed
topology reveals that the new technique saves 25 percent die area occupied by the sampling
capacitors of the filter. The proposed idea is also extended to implement higher downsampling
factors and a greater percentage of area is saved as the down-sampling factor is
increased. The proposed filter also has the topological advantage over previously
reported works of allowing the designers to use active integration to charge the
capacitance, which is critical in obtaining high linearity.
A novel technique to implement a discrete-time sinc3 ↓2 filter for windowed
integration samplers is also proposed. The topology reduces the idle time of the
integration capacitors at the expense of a small complexity overhead in the clock
generation, thereby saving 33 percent of the die area on the capacitors compared to the
currently existing topology.
Circuit Level simulations in 45 nm CMOS technlogy show a good agreement
with the predicted behaviour obtained from the analaysis.
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Filtragem robusta recursiva para sistemas lineares a tempo discreto com parâmetros sujeitos a saltos Markovianos / Recursive robust filtering for discrete-time Markovian jump linear systemsJesus, Gildson Queiroz de 26 August 2011 (has links)
Este trabalho trata de filtragem robusta para sistemas lineares sujeitos a saltos Markovianos discretos no tempo. Serão desenvolvidas estimativas preditoras e filtradas baseadas em algoritmos recursivos que são úteis para aplicações em tempo real. Serão desenvolvidas duas classes de filtros robustos, uma baseada em uma estratégia do tipo H \'INFINITO\' e a outra baseada no método dos mínimos quadrados regularizados robustos. Além disso, serão desenvolvidos filtros na forma de informação e seus respectivos algoritmos array para estimar esse tipo de sistema. Neste trabalho assume-se que os parâmetros de saltos do sistema Markoviano não são acessíveis. / This work deals with the problem of robust state estimation for discrete-time uncertain linear systems subject to Markovian jumps. Predicted and filtered estimates are developed based on recursive algorithms which are useful in on-line applications. We develop two classes of filters, the first one is based on a H \'INFINITO\' approach and the second one is based on a robust regularized leastsquare method. Moreover, we develop information filter and their respective array algorithms to estimate this kind of system. We assume that the jump parameters of the Markovian system are not acessible.
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Filtragem robusta recursiva para sistemas lineares a tempo discreto com parâmetros sujeitos a saltos Markovianos / Recursive robust filtering for discrete-time Markovian jump linear systemsGildson Queiroz de Jesus 26 August 2011 (has links)
Este trabalho trata de filtragem robusta para sistemas lineares sujeitos a saltos Markovianos discretos no tempo. Serão desenvolvidas estimativas preditoras e filtradas baseadas em algoritmos recursivos que são úteis para aplicações em tempo real. Serão desenvolvidas duas classes de filtros robustos, uma baseada em uma estratégia do tipo H \'INFINITO\' e a outra baseada no método dos mínimos quadrados regularizados robustos. Além disso, serão desenvolvidos filtros na forma de informação e seus respectivos algoritmos array para estimar esse tipo de sistema. Neste trabalho assume-se que os parâmetros de saltos do sistema Markoviano não são acessíveis. / This work deals with the problem of robust state estimation for discrete-time uncertain linear systems subject to Markovian jumps. Predicted and filtered estimates are developed based on recursive algorithms which are useful in on-line applications. We develop two classes of filters, the first one is based on a H \'INFINITO\' approach and the second one is based on a robust regularized leastsquare method. Moreover, we develop information filter and their respective array algorithms to estimate this kind of system. We assume that the jump parameters of the Markovian system are not acessible.
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