Digital signal processing (DSP) is used in a wide range of applications such as speech, telephone, mobile radio, video, radar and sonar. The sample rate requirements of these applications range from 10 KHz to 100 MHz. Real time implementation of these systems requires design of hardware which can process signal samples as these are received from the source, as opposed to storing them in buffers and processing them in batch mode. Efficient implementation of real time hardware for DSP applications requires study of families of architectures and implementation styles out of which an appropriate architecture can be selected for a specified application. To this end, the digit-serial implementation style is proposed as an appropriate design methodology for cases where bit-serial systems cannot meet the sample rate requirements, and bit-parallel systems require excessive hardware. The number of bits processed in a clock cycle is referred to as the digit-size. The hardware complexity and the achievable sample rate increase with increase in the digit-size. As special cases, a digit serial system is reduced to bit-serial or bit-parallel when the digit-size is selected to equal one or the word-length, respectively. A family of implementations can be obtained by changing the digit-size parameter, thus permitting an optimal trade-off between throughput and size. Because of their structured architecture, digit-serial designs lend themselves to automatic compilation from algorithmic descriptions. An implementation of this design methodology, the Parsifal silicon compiler was developed at the General Electric Corporate Research and Development laboratory.
"synopsis" may belong to another edition of this title.
The sampling rates for digital signal processing (DSP) in such applications as speech, telephony, mobile radio, video, radar and sonar, ranges from 10 kHz to 100 MHz. Real-time implementation of such systems requires design of hardware that can process signal samples as these are received from the source, rather than storing them in buffers for batch-mode processing. Efficient implementation of DSP hardware demands a study of families of architectures and styles, selecting an appropriate architecture for a specific application. Digit-Serial Computation is proposed as an appropriate design methodology when bit-serial systems cannot meet sampling rate requirements, and where bit-parallel systems require excessive hardware. A family of implementations can be obtained by changing the digit size parameter, allowing an optimum trade-off between throughput and size."Digit-Serial Computation" describes the architecture, and the design and layout methods used in Parsifal: the silicon compiler developed at GEC's Corporate R&D Laboratory. The structures architecture of digit-serial designs lends itself to automatic compilation from algorithmic descriptions.
The book also goes on to discuss wider-ranging issues in digit-serial design in chapters on 'folding' and 'unfolding', as well as in chapters on systolic arrays, canonic-signed-digit number representation and carry-save arithmetic. The book is an excellent source of reference and may be used as a text for an advanced course on the subject."About this title" may belong to another edition of this title.
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Digital signal processing (DSP) is used in a wide range of applications such as speech, telephone, mobile radio, video, radar and sonar. The sample rate requirements of these applications range from 10 KHz to 100 MHz. Real time implementation of these syste. Seller Inventory # 5971593
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Digital signal processing (DSP) is used in a wide range of applications such as speech, telephone, mobile radio, video, radar and sonar. The sample rate requirements of these applications range from 10 KHz to 100 MHz. Real time implementation of these systems requires design of hardware which can process signal samples as these are received from the source, as opposed to storing them in buffers and processing them in batch mode. Efficient implementation of real time hardware for DSP applications requires study of families of architectures and implementation styles out of which an appropriate architecture can be selected for a specified application. To this end, the digit-serial implementation style is proposed as an appropriate design methodology for cases where bit-serial systems cannot meet the sample rate requirements, and bit-parallel systems require excessive hardware. The number of bits processed in a clock cycle is referred to as the digit-size. The hardware complexity and the achievable sample rate increase with increase in the digit-size. As special cases, a digit serial system is reduced to bit-serial or bit-parallel when the digit-size is selected to equal one or the word-length, respectively. A family of implementations can be obtained by changing the digit-size parameter, thus permitting an optimal trade-off between throughput and size. Because of their structured architecture, digit-serial designs lend themselves to automatic compilation from algorithmic descriptions. An implementation of this design methodology, the Parsifal silicon compiler was developed at the General Electric Corporate Research and Development laboratory. 324 pp. Englisch. Seller Inventory # 9780792395737
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Buch. Condition: Neu. Digit-Serial Computation | Richard Hartley (u. a.) | Buch | The Springer International Series in Engineering and Computer Science | xiii | Englisch | 1995 | Springer | EAN 9780792395737 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Seller Inventory # 102548870
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Condition: New. Describes the architecture, and the design and layout methods used in Parsifal: the silicon compiler developed at GEC's Corporate R&D Laboratory. This book discusses issues in digit-serial design in chapters on 'folding' and 'unfolding', and in chapters on systolic arrays, canonic-signed-digit number representation and carry-save arithmetic. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 306 pages, biography. BIC Classification: PHDS; TJK. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 19. Weight in Grams: 1390. . 1995. Hardback. . . . . Seller Inventory # V9780792395737
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Digital signal processing (DSP) is used in a wide range of applications such as speech, telephone, mobile radio, video, radar and sonar. The sample rate requirements of these applications range from 10 KHz to 100 MHz. Real time implementation of these systems requires design of hardware which can process signal samples as these are received from the source, as opposed to storing them in buffers and processing them in batch mode. Efficient implementation of real time hardware for DSP applications requires study of families of architectures and implementation styles out of which an appropriate architecture can be selected for a specified application. To this end, the digit-serial implementation style is proposed as an appropriate design methodology for cases where bit-serial systems cannot meet the sample rate requirements, and bit-parallel systems require excessive hardware. The number of bits processed in a clock cycle is referred to as the digit-size. The hardware complexity and the achievable sample rate increase with increase in the digit-size. As special cases, a digit serial system is reduced to bit-serial or bit-parallel when the digit-size is selected to equal one or the word-length, respectively. A family of implementations can be obtained by changing the digit-size parameter, thus permitting an optimal trade-off between throughput and size. Because of their structured architecture, digit-serial designs lend themselves to automatic compilation from algorithmic descriptions. An implementation of this design methodology, the Parsifal silicon compiler was developed at the General Electric Corporate Research and Development laboratory.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 324 pp. Englisch. Seller Inventory # 9780792395737
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Digital signal processing (DSP) is used in a wide range of applications such as speech, telephone, mobile radio, video, radar and sonar. The sample rate requirements of these applications range from 10 KHz to 100 MHz. Real time implementation of these systems requires design of hardware which can process signal samples as these are received from the source, as opposed to storing them in buffers and processing them in batch mode. Efficient implementation of real time hardware for DSP applications requires study of families of architectures and implementation styles out of which an appropriate architecture can be selected for a specified application. To this end, the digit-serial implementation style is proposed as an appropriate design methodology for cases where bit-serial systems cannot meet the sample rate requirements, and bit-parallel systems require excessive hardware. The number of bits processed in a clock cycle is referred to as the digit-size. The hardware complexity and the achievable sample rate increase with increase in the digit-size. As special cases, a digit serial system is reduced to bit-serial or bit-parallel when the digit-size is selected to equal one or the word-length, respectively. A family of implementations can be obtained by changing the digit-size parameter, thus permitting an optimal trade-off between throughput and size. Because of their structured architecture, digit-serial designs lend themselves to automatic compilation from algorithmic descriptions. An implementation of this design methodology, the Parsifal silicon compiler was developed at the General Electric Corporate Research and Development laboratory. Seller Inventory # 9780792395737
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