Award Date

2009

Degree Type

Thesis

Degree Name

Master of Science in Electrical Engineering (MSEE)

Department

Electrical and Computer Engineering

Advisor 1

Peter Stubberud, Committee Chair

First Committee Member

Yahia Bagzous

Second Committee Member

Sahjendra Singh

Third Committee Member

Brendan O’Toole

Number of Pages

128

Abstract

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.

Keywords

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

Disciplines

Electrical and Computer Engineering | Signal Processing

File Format

pdf

Degree Grantor

University of Nevada, Las Vegas

Language

English

Rights

IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/

Download


Share

COinS