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This paper discusses the use of chopping in continuous-time sigma-delta modulators where 1/f noise and offset need to be suppressed by continuous-time methods. An intuitive analysis of the artifacts related to chopping is presented. Aliasing of quantization noise is found to be the main problem, especially for chopping frequencies lower than the modulator's sampling frequency (fs). Correctly timed...
Resonant sensors are a promising candidates for energy-constrained applications. For instance, the resonance frequency shift of polymer-coated MEMS resonators has been used to realize electronic nose systems for personalized health and environmental sensing [1]. Oscillator-based readout circuits for such sensors have been successfully implemented [2,3], but are relatively power-hungry, difficult to...
Recently, it has been reported that context-dependent deep neural network (DNN) has achieved some unprecedented gains in many challenging ASR tasks, including the well-known Switchboard task. In this paper, we first investigate DNN for several large vocabulary speech recognition tasks. Our results have confirmed that DNN can consistently achieve about 25–30% relative error reduction over the best...
A low power interface circuit for multisensory system is presented in this paper. A SAR capacitance-to-digital converter (CDC) and a SAR analog-to-digital converter (ADC) are combined together so that capacitance or voltage from different sensors can be measured by the same circuit and converted to digital signal directly. A dynamic comparator with self-calibration is designed to achieve zero-static...
In this paper, we have proposed a new method to construct an auxiliary function for the discriminative training of HMMs in speech recognition. The new auxiliary function serves as a first-order approximation of the original objective function but more importantly it remains as a lower bound of the original objective function as well. Furthermore, the trust region (TR) method in [1] is applied to find...
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