A microcomputer with digital signal processing capability

Magar, S.; Caudel, E.; Leigh, A.

doi:10.1109/isscc.1982.1156364

Cited by 43 publications

(6 citation statements)

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“…The TMS32010 from Texas Instruments [6], is a first member of very popular TMS 320 family of DSPs. Compared to 7720 it has 3 times larger on-chip program memory, which in addition can be expanded by off-chip RAM or EPROM.…”

Section: A) First Generation Dspsmentioning

confidence: 99%

Digital Signal Processors

2008

Applied Signal Processing

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Section: A) First Generation Dspsmentioning

confidence: 99%

Digital Signal Processors

2008

Applied Signal Processing

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“…The features of four of these chips, well known at that time, are tabulated. Two other signal processing microprocessors were more recently announced [23,24].…”

Section: Other Signal Processing Microprocessorsmentioning

confidence: 99%

A Microprocessor for Signal Processing, the RSP

Mintzer

Peled

1982

IBM J. Res. & Dev.

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Signal processing is a data processing domain that contains a diversity of applications, including speech processing, image processing, radar, sonar, medical imaging, data communications, seismic processing, and many others. Despite the diversity of the applications, this processing domain has a very structured set of characteristics. These include real-time operation. dominance of arithmetic operations, and well-structured data flows. The Real-Time Signal Processor (RSP) is a microprocessor architecture that was created to exploit these characteristics in order to provide an expeditious and economical way to implement signal processing applications. In this paper, the organization and architecture ofthe RSP are described. Features of the RSP, such as the instruction pipeline and the fractionalJixed-point arithmetic, which exploit the characteristics of signal processing to provide additional computational power, are emphasized. Other features, such as the powerful indexing, the saturation arithmetic, the guard bits. and the double-word-width accumulator, which add much to the processor's versatility and programmability. are also highlighted. The performance of the RSP is illustrated through examples.

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“…In particular, the early 1980s saw the first examples of programmable DSP circuits [6,7,8]. The VLSI era also introduced the first examples of complex hard-wired or dedicated DSP functions [9] on a chip.…”

Section: The Early Yearsmentioning

confidence: 99%

50 years of signal processing at ISSCC

Thon¹

2003 IEEE International Solid-State Circuits Conference, 2003. Digest of Technical Papers. ISSCC.

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The FieldThe technical field of Signal Processing encompasses all forms of sampled-data manipulation where the data (or signal) has a physical origin, or destination. In the context of ISSCC, signal processing refers to solid-state circuits designed to process samples that may be in digital or analog format. Physical origins or destinations include mechanical (audio) and electromagnetic waves (either in conductors or in free space), such as for telephony, radio, imaging, or optical transmission.The restriction to sampled data is an important one, and distinguishes signal processing from purely continous-time processing, as is performed by traditional analog circuits. While discrete time (or space) is of the essence, what characterizes signal processing at ISSCC is also the continuous real-time nature of the processing, as opposed to the matched process of data collection followed by off-line processing. The Early YearsDefinitions aside, signal processing has a long and distinguished history at the Conference. However, the pace of development has definitely quickened in the last 25 years. An early example of sampled-data (analog) processing was presented by Franks in 1960 [1], in a paper describing a sampled-data bandpass filtering process based on junction-diode switching.Development of signal-processing circuits began to accelerate in the 1970s. Significant milestones in analog and digital sampled-data-processing are exemplified by the papers on CCD circuits [2], and the first integrated digital filter [3]. The sampledanalog CCD technique was used in what was perhaps the first dedicated implementation of the Discrete Fourier Transform [4]. The most significant advantage of CCD and switched-capacitor [5] circuits was that no analog-todigital conversion was needed for the signals. However, the increased effort required to obtain a robust design of ever-morecomplex analog sampled-data circuits resulted in a market opportunity for digital solutions.Simultaneous progress in the area of A/D and D/A data-conversion circuits permitted the use of highly-integrated digital signal-processing functions in an economical manner. In particular, the early 1980s saw the first examples of programmable DSP circuits [6,7,8]. The VLSI era also introduced the first examples of complex hard-wired or dedicated DSP functions [9] on a chip. With increasingly-complex numerical algorithms, ease of programming was provided by DSPs that used floating-point rather than fixed-point instruction sets [10]. The More-Recent EraSince the mid 1980s, both analog and digital signal processing were strongly affected by a change from NMOS and bipolar/BiMOS to CMOS technology. This allowed a succession of new application areas, such as speech synthesis and coding/decoding [11,12,13], speech recognition [14], and image processing [15,16,17]. At the same time, although more slowly, "digital" CMOS was being adopted for the fabrication of analog signal-processing functions.By exploiting the progress of CMOS developed for microprocessors, digital signal proce...

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A microcomputer with digital signal processing capability

Cited by 43 publications

References 0 publications

Digital Signal Processors

Digital Signal Processors

A Microprocessor for Signal Processing, the RSP

50 years of signal processing at ISSCC

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