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David V Anderson

Biographic Data

ID5058263
NAMEDavid V Anderson
GIVEN NAMESDavid V
FAMILY NAMEAnderson
SIGNATUREANDERSON D V
AFFILIATIONSGeorgia Institute of Technology
ORCID0000-0002-8571-4613
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2004
LATEST PUBLICATION YEAR2015
H-INDEX0
  • Modulation Spectral Features

    Nashlie H Sephus, Aaron D Lanterman et al.•ARTICLE•Journal of New Music Research•2015•References: 59

    Modulation frequency analysis has been studied predominantly in research areas such as communications, filtering and coding of digital signals, and representations of neurons in the biomedical field. In turn, modulation frequency features have surfaced in the area of music data mining, also known as music information retrieval (MIR). The term ‘modulation spectral features’ has been used rather loosely, but we refer to them as temporal patterns in…

  • A Framework for Teaching Real-Time Digital Signal Processing With Field-Programmable Gate Arrays

    Open Access•Tyson S Hall, David V Anderson•ARTICLE•IEEE Transactions on Education•2005

    Many curricula include separate classes in both digital signal processing (DSP) theory and very high-speed integrated circuit hardware description language (VHDL) modeling; however, there are few opportunities given to students to combine these two skills into a working knowledge of DSP hardware design. A pedagogical framework has been developed whereby students can leverage their previous knowledge of DSP theory and VHDL hardware design techniqu…

  • DSP for Practicing Engineers

    Open Access•P S Hong, David V Anderson et al.•ARTICLE•IEEE Transactions on Education•2004

    With the explosion of the Internet and the desire of many institutions to disseminate courses across the world, many students look to online education with promise. However, institutions planning to provide distance learning opportunities may wish to have a model to analyze before venturing forth. There are many factors that ultimately influence the methods of delivery, content, length, and technical support for an online course. This paper prese…

No prominent works on this page.

  • DSP for Practicing Engineers

    Open Access•P S Hong, David V Anderson et al.•ARTICLE•IEEE Transactions on Education•2004

    With the explosion of the Internet and the desire of many institutions to disseminate courses across the world, many students look to online education with promise. However, institutions planning to provide distance learning opportunities may wish to have a model to analyze before venturing forth. There are many factors that ultimately influence the methods of delivery, content, length, and technical support for an online course. This paper prese…

  • A Framework for Teaching Real-Time Digital Signal Processing With Field-Programmable Gate Arrays

    Open Access•Tyson S Hall, David V Anderson•ARTICLE•IEEE Transactions on Education•2005

    Many curricula include separate classes in both digital signal processing (DSP) theory and very high-speed integrated circuit hardware description language (VHDL) modeling; however, there are few opportunities given to students to combine these two skills into a working knowledge of DSP hardware design. A pedagogical framework has been developed whereby students can leverage their previous knowledge of DSP theory and VHDL hardware design techniqu…

  • Modulation Spectral Features

    Nashlie H Sephus, Aaron D Lanterman et al.•ARTICLE•Journal of New Music Research•2015•References: 59

    Modulation frequency analysis has been studied predominantly in research areas such as communications, filtering and coding of digital signals, and representations of neurons in the biomedical field. In turn, modulation frequency features have surfaced in the area of music data mining, also known as music information retrieval (MIR). The term ‘modulation spectral features’ has been used rather loosely, but we refer to them as temporal patterns in…

Computer Science (3 works) · Artificial Intelligence (2 works) · Experimental Learning in Engineering (2 works) · Telecommunications (2 works) · Acoustics (1 work) · Advancements in PLL and VCO Technologies (1 work) · Analog and Mixed-Signal Circuit Design (1 work) · Animal Vocal Communication and Behavior (1 work) · Artificial Intelligence (1 work) · Atlanta (1 work)

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