Adaptive Signal Processing by Bernard Widrow

By Bernard Widrow

A finished and sensible remedy of adaptive sign processing that includes common use of examples.

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In these systems, users could not only implement computational complex algorithms in hardware, but also use the programmability aspect of the hardware to change the system functionality, allowing the development of “virtual hardware” where hardware could ‘virtually” implement systems that are an order of magnitude larger (Brebner 1997). We would argue that there have been two programmability eras. The first occurred with the emergence of the microprocessor in the 1970s, where engineers could develop programmable solutions based on this fixed hardware.

The appeal of processing signals digitally was recognized quite some time ago for a number of reasons. Digital hardware is generally superior and more reliable than its analogue counterpart, which can be prone to aging and can give uncertain performance in production. DSP, on the other hand, gives a guaranteed accuracy and essentially perfect reproducibility (Rabiner and Gold 1975). In addition, there is considerable interest in merging the multiple networks that transmit these signals, such as the telephone transmission networks, terrestrial TV networks and computer networks, into a single or multiple digital transmission media.

1. In addition to technology evolution, a number of other considerations accelerated this. For example, the emergence of the FPGA as a DSP platform was accelerated by the application of distributed arithmetic (DA) techniques (Goslin 1995; Meyer-Baese 2001). DA allowed efficient FPGA implementations to be realized using the lookup table or LUT-based/adder constructs of FPGA blocks and allowed considerable performance gains to be gleaned for some DSP transforms such as fixed coefficient filtering and transform functions such as the fast Fourier transform (FFT).

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