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Titlebook: Bandpass Sigma Delta Modulators; Stability Analysis, Jurgen Engelen,Rudy Plassche Book 1999 Springer Science+Business Media Dordrecht 1999

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發(fā)表于 2025-3-21 18:10:17 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Bandpass Sigma Delta Modulators
期刊簡(jiǎn)稱Stability Analysis,
影響因子2023Jurgen Engelen,Rudy Plassche
視頻videohttp://file.papertrans.cn/181/180557/180557.mp4
圖書(shū)封面Titlebook: Bandpass Sigma Delta Modulators; Stability Analysis,  Jurgen Engelen,Rudy Plassche Book 1999 Springer Science+Business Media Dordrecht 1999
影響因子Sigma delta modulation has become a very useful and widelyapplied technique for high performance Analog-to-Digital (A/D)conversion of narrow band signals. Through the use of oversampling andnegative feedback, the quantization errors of a coarse quantizer aresuppressed in a narrow signal band in the output of the modulator.Bandpass sigma delta modulation is well suited for A/D conversion ofnarrow band signals modulated on a carrier, as occurs in communicationsystems such as AM/FM receivers and mobile phones. .Due to the nonlinearity of the quantizer in the feedback loop, a sigmadelta modulator may exhibit input signal dependent stabilityproperties. The same combination of the nonlinearity and the feedbackloop complicates the stability analysis. In .Bandpass Sigma Delta..Modulators., the describing function method is used to analyzethe stability of the sigma delta modulator. The linear gain modelcommonly used for the quantizer fails to predict small signalstability properties and idle patterns accurately. .In .Bandpass Sigma Delta Modulators. an improved model for thequantizer is introduced, extending the linear gain model with a phaseshift. Analysis shows that the phase shift of a s
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沙發(fā)
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978-1-4419-5116-8Springer Science+Business Media Dordrecht 1999
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SDM Implementations,During the research that lead to this book, several implementations of (bandpass) SDMs have been realized. A digital SDM board was made for real-time simulations. The design of two continuous time bandpass SDMs was based on the stability criteria described in Chapter 5 and the loop filter structures proposed in Chapter 6.
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https://doi.org/10.1007/3-540-27612-2 sampled in time and quantized to discrete amplitudes. Although in general both actions result in distortion of the original signal, the distortion resulting from sampling in time can be avoided. Quantization of the signal to discrete amplitudes always introduces errors.
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Arthrose (degenerative Gelenkerkrankungen)ly achievable performance depends on several parameters such as the oversampling ratio, the order of the loop filter and the resolution of the quantizer. Deterministic effects such as pattern noise and dead zones, as well as a non-ideal implementation affect the actual performance of an SDM.
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