Download Digital Signal Processing Systems: Implementation Techniques by C.T. Leondes (Eds.) PDF

By C.T. Leondes (Eds.)

This quantity on implementation options in electronic sign processing structures truly unearths the importance and gear of the options which are on hand, and with additional improvement, the basic function they're going to play as utilized to a wide selection of components. The authors are all to hugely recommended for his or her greatest individuals to this quantity, that allows you to offer an important and distinctive foreign reference resource for college students, study staff, working towards engineers, and others for years yet to come.

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Memory access energy can be reduced further using low voltage differential signals for long lines, especially address and data buses at higher levels of the hierarchy. In a large memory subsystem, the power dissipated in a single 100MHz 10cm wire swinging 5 volts is 25mW. 5/zW. Wordline drivers are difficult to pitchmatch to DRAM. The layout becomes very inefficient when the cell pitch is less than 15~. In DRAMs, decoders are often placed on both sides of the memory array and the wordlines interleaved to meet the pitch.

On the other hand, the B RB number format has a feature that the SD number format does not have. The feature is that two 2's complement numbers can form one BRB number without needing any operations. This feature makes the B RB number format a more desirable choice than the SD number format for operations such as partial product summation in a multiplier. It also makes BRB adder design simpler than SD adder design. Since the BRB and the SD number formats have different advantages and disadvantages for different operations, it is desirable to use them for different subsystems in a signal processing system.

In digital neural net design, for example, this can be expressed as the number of connections per processor (CPP). The DARPA neural net study [Wei88] lists a variety of applications and their requirements in connections (C) and connections per second (CPS). These are reproduced in Figure 52. The o p t i m u m C P P is related to the C and CPS of an application by C P P -( C P S / C ) / ( C P S / P ) , where C P S / P , the number of connections per second per processor, is determined mainly by the technology.

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