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Titlebook: Analog VLSI Integration of Massive Parallel Signal Processing Systems; Peter Kinget,Michiel Steyaert Book 1997 Springer Science+Business M

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期刊全称Analog VLSI Integration of Massive Parallel Signal Processing Systems
影响因子2023Peter Kinget,Michiel Steyaert
视频videohttp://file.papertrans.cn/156/155865/155865.mp4
学科分类The Springer International Series in Engineering and Computer Science
图书封面Titlebook: Analog VLSI Integration of Massive Parallel Signal Processing Systems;  Peter Kinget,Michiel Steyaert Book 1997 Springer Science+Business M
影响因子When comparing conventional computing architectures to the architectures of biological neural systems, we find several striking differences. Conventional computers use a low number of high performance computing elements that are programmed with algorithms to perform tasks in a time sequenced way; they are very successful in administrative applications, in scientific simulations, and in certain signal processing applications. However, the biological systems still significantly outperform conventional computers in perception tasks, sensory data processing and motory control. Biological systems use a completely dif­ ferent computing paradigm: a massive network of simple processors that are (adaptively) interconnected and operate in parallel. Exactly this massively parallel processing seems the key aspect to their success. On the other hand the development of VLSI technologies provide us with technological means to implement very complicated systems on a silicon die. Especially analog VLSI circuits in standard digital technologies open the way for the implement at ion of massively parallel analog signal processing systems for sensory signal processing applications and for perception ta
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https://doi.org/10.1007/978-1-4757-2580-3Motor; Signal; Symbol; VLSI; analog; analog design; analog signal processing; computer; network; neural netwo
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Dietary Components and Immune Functionhave to emphasize a wanted component or property of the signal without adding too much unwanted extra components. These are due to the non-idealities of the circuit implementation compared to the specified operation. Circuit non-idealities can be divided in two groups: random and systematic errors.
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Dietary Lipids and the Cancer Cascade,tem theory and the world of analog circuit design has to be bridged. Both worlds use different conventions, use different resources, have different optimization goals and different constraints. In table 3.1 some of these differences are summarized. The theoretical descriptions of systems use a much
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Daniel J. Noonan,Michelle L. O’Brient performs the computations; the circuit structure must be designed such that the differential equation describing the behavior of the circuit is equivalent to the differential equation of the system. Moreover, a high circuit density is desired so that the designer has to come up with compact circui
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