Master of Science in Electrical Engineering (MSEE)
Electrical and Computer Engineering
Peter Stubberud, Committee Chair
First Committee Member
Second Committee Member
Third Committee Member
Number of Pages
In this thesis, optimal signal transfer functions (STFs) and noise transfer functions (NTFs) for discrete time delta sigma (ΔΣ) modulators are determined. For a given oversampling rate (OSR), these STFs and NTFs are optimized with respect to a weighted combination of the ΔΣ modulator's signal-to-noise ratio (SNR) and dynamic range (DR). This optimization problem is solved using a novel hybrid orthogonal genetic (HOG) algorithm that uses customized genetic operators to improve algorithm performance and accuracy when applied to multimodal, non-differentiable performance surfaces. To generate optimal system functions, the HOG algorithm is implemented as a constrained global optimizer to minimize cost functions which represent approximations of the system functions.
Analog-to-digital converters; Delta-sigma modulators; Hybrid orthogonal genetic (HOG) algorithm; Global optimization; Mixed-signal systems; Noise transfer functions (NTFs); Optimal signal transfer functions (STFs); Taguchi method
Electrical and Computer Engineering | Signal Processing
Jackson, Matthew Edward, "Optimal design of discrete-time delta sigma modulators" (2009). UNLV Theses, Dissertations, Professional Papers, and Capstones. 24.