To achieve higher speed, higher density, and lower power dissipation CMOS VLSI circuits continue to be scaled down interms of feature sizes and power supply voltages. Although technology scaling has enabled the design...
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To achieve higher speed, higher density, and lower power dissipation CMOS VLSI circuits continue to be scaled down interms of feature sizes and power supply voltages. Although technology scaling has enabled the design of high performance processors, susceptibility to transient and permanent errors, process variation, and high leakage power are some bottlenecksthat need to be overcome for continued device scaling into sub nano-meter technologies. Digital Signal Processing (DSP) applications are numerically intensive and many of them are implemented on hand-held devices making power efficiency an important constraint in these applications. The proposed solutions must be application aware as otherwise they may not be the best in terms of efficiency. The goal of this work is to identify important DSP applications and develop algorithmic and arithmetic level solutions to overcome the problem of transient and permanent errors in scaled down devices. In this work transform domain adaptive filters operating on real-valued signals are considered first and error tolerance is introduced by exploiting redundancy in the transform domain. A comprehensive analysis of fault coverage, complexity and performance is done, and architectures to implement the developed solutions are also proposed. Residue and polynomial arithmetic techniques are then combined with algorithmic concepts to design error detection and correction for Walsh-Hadamard based transform domain adaptive filters. Finally, a class of modified transforms is developed to implement efficient convolution operation. The modified transforms are used to implement fault tolerant convolution and a detailed analysis of fault coverage, complexity and performance is done. The applications of modified transforms in reliable adaptive filtering and speech de-noising is illustrated.
An applications oriented control systems engineering approach for a class of well- posed thermal systems, e.g. industrial furnaces and ovens, that is consistent with most of theoretical results in systems and control ...
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An applications oriented control systems engineering approach for a class of well- posed thermal systems, e.g. industrial furnaces and ovens, that is consistent with most of theoretical results in systems and control sciences has been elaborated and tested in designing controls for several industrial-scale furnaces. It provides a methodology for iterative learning and resolving process identification and control design for multi-variable systems within a discreteconvolution framework and using truncated k-time sequence matrices of characteristic input-output modes as well as their characteristic patterns and singular characteristic patterns, starting with standard non-parametric process time-domain models identified under operating conditions. Within computer process control environment and for practical engineering and maintenance reasons, digital implementations are sought in terms of partial steady-state decoupling and two-term laws or combination of certain MIMO and SISO controls. The pusher furnace in Skopje Steelworks is used to illustrate this methodological approach
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