Ben Gold was born in New York in 1923. He
received an electrical engineering degree in 1944
from the City College of the City University of
New York, and a Ph.D. from the Brooklyn
Polytechnic Institute in 1948. His first
position in industry was at the Avion Instrument
Corp. in New York, where he worked on the theory
of radar range and angle tracking. From 1950
to 1953, he was with Hughes Aircraft Company in
Culver City, California working on statistical
problems of missile guidance. He joined the
staff at Lincoln Labs in 1953 working there
through 1981 on the Application of probability
theory to communications. He also designed
and implemented a device to recognize hand-sent
Morse code signals and a device to measure the
pitch of speech for use in voice-coding
systems. He contributed to the theory and
application of voice coding systems for digital
data rate reduction, the development of the theory
of digital signal processing, and the design and
development of high speed signal processing
computers and parallel computers. His work
in the 1950s on pattern recognition led to the
first device that could automatically recognize
hand-sent Morse code. In the late 1950s and
early 1960s he developed a pitch detector for use
with vocoders that became a standard
algorithm. Many later pitch detectors were
compared with the Gold algorithm. In the
early 1960s, Dr. Gold, together with Charles Rader
and Dr. Joe Levin, pioneered the emerging field of
digital signal processing (DSP). They
developed the concepts of digital filtering as it
applied to audio problems; these concepts proved
applicable to diverse fields such as radar,
communications, sonar, seismology and biology. Of
particular significance were developments of
digital filter design methods in both the time and
frequency domains, and analysis of quantization
effects. He spent 1954 in Rome, Italy on a
Fulbright Fellowship and served on the MIT faculty
as a Visiting Professor during the 1966-67
academic year. He is a fellow of the IEEE (1972)
[Fellow award for "contributions to speech
communication and digital signal processing"] and
the Acoustical Society of America. His IEEE
awards include the Achievement Award (1972), the
Society Award (1986), and the Kilby Medal
(1997). He and Charles Rader wrote one of
the first textbooks in the field of Digital Signal
Processing.
The interview focuses throughout on the evolution
of digital signal processing as a field and on
the impact of the fast Fourier transform and of
Linear Predictive Coding. Gold also
describes his development of a pitch detector and
his contribution to the construction of the Fast
Digital Processor at MIT. A major theme is the
manner in which the FFT allowed theorists within
the DSP community to harness computing power to
test their own theories, rather than turning their
conclusions over to analog hardware specialists
who would then build the appropriate test
machinery. He also describes the social
relationships among the researchers based at MIT
and the dynamics of funding and managerial
oversight at Lincoln Labs.
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1
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1948 Ph.D. in electrical engineering
from Brooklyn Poly
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Jobs in New York and at Hughes
Aircraft in Culver City, CA
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Joined MIT Lincoln Labs in 1953,
stayed until retirement
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Early work on pattern recognition
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Conversation with John Kelly turns
his attention to a pitch detector
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2
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Incorporates pitch detector into a
vocoder at suggestion of Paul Rosen
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3
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Origins of digital filters
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Discussion of his work with Jim
Kaiser and Charlie Rader
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Importance of FFT
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Influence of an exhibit at the New
York Worlds Fair called "the Voder"
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4
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1954 Fulbright Fellowship study in
Rome
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5
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Group leader Oliver Selfridge
changes focus of group on Gold's
return
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Transferred to Paul Rosen's group
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Pattern recognition group broken up
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6
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Trains himself to use computers
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Works with Wes Clark and the TX-2
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7
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Tests pitch detector on a Bell Labs
vocoder
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Rosen urges him to build a vocoder
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Slowness of processing speech
through these analog machines creates
demand for digital processing
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8
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Jim Kaiser at Bell Labs suggests
building digital filters
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Application of Hurewicz' work on
sample data control systems
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9
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Charlie Rader joins group
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Joe Levin lectures on control
theory, 1963
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Pressure from management who don't
see the potential of DSP
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Involvement of Jim Kaiser, Hank
McDonald
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10
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Visiting Professorship at MIT, 1966
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Meets Al Oppenheim
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Bruce Bogert develops cepstrum
analysis
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Application to Oppenheim's
homomorphic filtering
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11
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Tom Crystal, a TA, shows him
internal draft of Cooley and Tukey's
work on FFT
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Rader and Tom Stockham see
applications of Cooley-Tukey paper to
DSP
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Gold, Rader, Oppenheim, and Stockham
collaborate on book on FFT
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Stockham's background, connection to
Amar Bose
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12
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Stockham develops concept of High
Speed Convolution
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Centrality of the FFT to the
definition of the Field
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Distinction between discrete Fourier
transform and FFT
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13
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FFT allows integration of theory and
computation power
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14
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Influenced by Oliver Selfridge's
work on pattern recognition
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Description of his pitch detector
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15
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Description of his course at MIT,
1966-67
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Relationship with Larry Rabiner and
Tom Crystal
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16
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Sampling and quantization as
problems confronting DSP
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Discussion of accuracy, and
solutions to sampling and noise
problems in DSP
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17
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Comparison of his work on
quantization with that of Widrow
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18
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Hierarchy and social relations
within DSP community at MIT
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Different skills, interests among
the group
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Early involvement of radar
specialists Ed Muehe and Bob Purdy
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19
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Construction of the Fast Digital
Processor with Lincoln labs in house
funds
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Application to radar research to
demonstrate utility of project
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Development of Block Diagram
Compiler at Bell Labs
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20
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Development of PATSY algorithm by
Charlie Rader
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Development of Homomorphic Vocoder
by Al Oppenheim
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Capacity of FDP to process FFT in
parallel
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Rapid obsolescence of this hardware
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21
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Focus on Radar pushed by Jerry
Dineen
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Louis Smullen [sp.] and Bill Siebert
examples of those who did not
recognize the digital revolution
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22
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FFT eventually allows
mathematical/theoretical researchers to
control their own hardware
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Impact of integrated circuits
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23
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Lee Jackson as example of researcher
who went left the lab to develop
hardware applications
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Integrated circuits allow for the
programming of most DSP functions
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24
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Loss of interest in the field by
mid-seventies
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Impact of Linear Predictive Coding
in early 70s
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Ed Hofstadter's application of FDP
to LPC allows coding in real time
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25
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His awareness of LPC through
lectures at MIT by Schroeder or Atal
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26
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DSP synonymous with digital
filtering before the advent of the FFT
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27
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Despite exit from field, he relies
on its tools for work on speech
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28
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Recent innovations such as auto
regression and maximum entropy theory
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These innovations not of the same
magnitude as FFT, LPC
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29
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Reemphasizes importance of FFT and
integrated circuits
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