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This thesis addresses the problem of voice recognition, by studying how to build a lowcost
solution for data acquisition, presents the analysis, design implementation and simulation
of a low-cost continuous-time(CT) passive sigma-delta modulator(SDM) with
signal-to-noise-plus-distortion ratio(SNDR) > 86dB to increase fidelity in voice recognition
applications.
Employing passive RC integrators and a differential signal structure, the CT passive
SDM is optimized to work as independently from a specific comparator module
as possible, by decreasing the necessary gain of the comparator in the modulator gain.
Nevertheless, the loop gain is restricted by the comparator’s noise, aggravated by the high
attenuation of the passive RC integrators on the signal, causing low voltage swing at the
comparator’s input.
It is discussed the viability of utilizing a microprocessor (μP) as substitute of the
comparator block in a CT passive SDM, specifically, the esp32. Due to hardware limitations
and the high-frequency requirements of the CT passive SDM, it is proven this
substitution is not viable.
Along the course of the design implementation a comparison in the performance of
three different simulation software is presented, these software being, the open-source
LTspice VII, the open-source Ngspice and the private Cadence Virtuoso. As it was necessary
to change simulation software at different stages in the design of the circuit.
