Parallel Computing for Real-time Signal Processing and by M. O. Tokhi PhD, CEng, M. A. Hossain MSc, PhD, M. H. Shaheed

By M. O. Tokhi PhD, CEng, M. A. Hossain MSc, PhD, M. H. Shaheed MSc, PhD (auth.)

The computing functionality calls for of recent real-time sign processing and keep watch over functions are expanding speedily. using a number of processors working in parallel permits a number of directions to be handled concurrently, so the requirement for "real-time" is now a lot more straightforward to fulfill. Parallel Computing for Real-time sign Processing and Control introduces scholars to some great benefits of this crucial strength inside of an engineering framework. the power of parallel processing to house universal sign processing and keep watch over algorithms is explored. The book:

• Emphasises the connection among the computing requisites of algorithms and the suitable collection of architectures in profitable computing recommendations.

• Demonstrates the id of processor services and the way to take advantage of them to the fullest for various initiatives.

• essentially states ambitions in each one bankruptcy to permit the scholar to observe his/her growth.

• makes use of examples and end-of-chapter routines to facilitate self-study and guided university.

• deals case stories that placed theoretical options right into a useful context.

Written in an instructional sort with a logical exploratory procedure, Parallel Computing for Real-time sign Processing and Control is a perfect creation to this robust paradigm. For complex scholars in parallel computing, keep watch over and sign processing disciplines, it will likely be a useful device in studying to get the easiest from their desktop systems.

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An investigation into the development of parallel adaptive/self-tuning controllers based on systollic arrays comprising a combination of transputers and DSPs was carried out by Li and Rogers (1991). Homogeneous parallel architectures consisting of a number of DSPs have also been reported to have been used by Tokhi et al. (1996) in implementing real-time beam simulation and least mean squares (LMS) adaptive filtering algorithms. Further research with homogeneous parallel architectures 20 Parallel Computing for Real-time Signal Processing and Control comprising DSPs was carried out by Madeira et al.

4 Satellite, Radar and Sonar Applications Most satellite, radar and sonar applications handle vast amounts of data and varieties of signals. Parallel processing is used to process these data and signals. In fact, many of those applications cannot be even thought of without parallel processmg. 5 Aerospace Applications The computing requirements of safety-critical aerospace control systems are currently doubling every 2-3 years. This trend is widely expected to continue in future in response to demands for higher control functionality, improved health monitoring and diagnostics, and better fuel efficiency.

Rs. 8. 2 Classification Based on Memory Arrangement and Communication among PEs Parallel architectures can be classified into two major categories in terms of memory arrangement. These are: shared memory and message passing or distributed memory. In fact, these architectures constitute a subdivision of MIMD parallel architecture. Shared memory and distributed memory architectures are also called tightly coupled and loosely coupled architectures respectively. Each type of architecture has its advantages and disadvantages.

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