A system of elementary structural transformations useful for design space exploration at the register transfer (RT) level is presented. Its effectiveness and expressive power are discussed. It is shown that these elem...
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A system of elementary structural transformations useful for design space exploration at the register transfer (RT) level is presented. Its effectiveness and expressive power are discussed. It is shown that these elementary transformations can be used to perform a number of optimizations proposed by other researchers. This study also shows that many transformations used in high-level synthesis systems are of a purely structural nature.< >
The authors proposed a hybrid method that combines the advantages of the frequency-domain techniques and the marching-on-in-time method while avoiding their disadvantages. As in the marching-on-in-time method, the tim...
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The authors proposed a hybrid method that combines the advantages of the frequency-domain techniques and the marching-on-in-time method while avoiding their disadvantages. As in the marching-on-in-time method, the time-domain integral equations are discretized in space. This results in a system of linear time-domain equations of a fixed dimension. This system, in turn, is solved by the frequency-domain procedure of subjecting it to a temporal Laplace or Fourier transformation. Using this approach, the authors solved three scalar scattering problems for which benchmark results obtained by alternative methods were available.< >
An overview is presented of results obtained in listeners with real and simulated impairments. Spectral processing is assessed by psychoacoustical tuning curves and growth-of-masking functions; temporal processing is ...
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An overview is presented of results obtained in listeners with real and simulated impairments. Spectral processing is assessed by psychoacoustical tuning curves and growth-of-masking functions; temporal processing is assessed by temporal integration and gap detection thresholds. When comparisons are made to normal listeners tested in the quiet, impaired listeners generally show deficits on all these tasks. When the comparisons are made to simulated impairments, some impaired listeners show no deficits, whereas others still show deficits. These results indicate that abnormal intensity perception is responsible for some, but not all, of impaired listeners' apparent deficits in spectral and temporal processing. In many cases, however, it appears that spectral and temporal processing, per se, are altered in the impaired auditory system.< >
The quality of the design of large-scale integrated circuits is determined by such figures of merit as silicon area, power consumption, and switching-time performance. We address here the problem of the automatic synt...
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The quality of the design of large-scale integrated circuits is determined by such figures of merit as silicon area, power consumption, and switching-time performance. We address here the problem of the automatic synthesis of digital circuits with the goal of achieving high-performance designs. We assume we are given an intermediate circuit representation that optimizes area and/or power. We use timing optimization techniques to improve the circuit performance, possibly at the expense of the other figures of merit. We consider general classes of digital circuits, with a given partition into registers, combinational blocks, and I/O ports. Circuit performance is related to the worst-case propagation delay of signals between two register boundaries. In this context, circuit performance optimization is equivalent to minimizing the critical path delay through the combinational circuits. We assume a multiple-level implementation of the combinational logic, by means of an interconnection of logic gates implementing arbitrary multiple-input, single-output logic functions. We consider dynamic CMOS implementation of the logic gates, operating in the domino mode. We present a global approach to timing performance optimization, which involves operations at the logic, topological, and physical level of abstraction of the circuit. In particular, at the logic level, we look for optimal structures of multiple-level combinational networks. At the topological level, we search for the optimal positions of gates or groups of gates. At the physical design level, we optimize MOS device sizes. The algorithms are described, together with their implementation and the interface to the Yorktown Silicon Compiler system, which is an automated synthesis system described in [7]. The results of applying timing-performance optimization to a 32-bit microprocessor design are reported.
A new computationally efficient identification procedure is proposed for a non-Gaussian white noise driven linear, time-invariant, non-minimum phase system. The method is based on the idea of computing the complex cep...
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A new computationally efficient identification procedure is proposed for a non-Gaussian white noise driven linear, time-invariant, non-minimum phase system. The method is based on the idea of computing the complex cepstrum of higher-order cumulants of the system output. In particular, the differential cepstrum parameters of the system's impulse response are computed directly from higher-order cumulants via least-squares solution. The method is flexible enough to reconstruct the minimum and maximum phase components of the impulse response of MA, AR or ARMA systems without any prior knowledge of the type of the system. It does not require model order selection criteria and is shown to provide estimates with small bias and variance even with "short" length data records.
In this paper we propose a new method for non-minimum phase wavelet estimation and deconvolution based on non-causal autoregressive (AR) modeling of third moments of the output seismic trace. The magnitude and phase r...
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In this paper we propose a new method for non-minimum phase wavelet estimation and deconvolution based on non-causal autoregressive (AR) modeling of third moments of the output seismic trace. The magnitude and phase response of the wavelet are expressed in terms of the parameters of the noncausal AR model. The set of the AR parameters is obtained by solving an overdetermined linear system of equations which is formed using third moment estimates of the output data. A comparison of the non-causal AR bispectrum approach against more conventional approaches for wavelet magnitude and phase reconstruction is a major component of the paper. It is demonstrated by means of standard example that the proposed procedure achieves improved performance.
A new adaptive computer control model in hot strip rolling has been developed. The main idea is to improve the accuracy of the force calculation and to balance the inter-stands load distribution by introducing a new a...
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A new adaptive computer control model in hot strip rolling has been developed. The main idea is to improve the accuracy of the force calculation and to balance the inter-stands load distribution by introducing a new adaptive systems based on the gradient technique and a stochastic approximation-type algorithm. The feasibility of the new method is demonstrated by off-line simulations using actual rolling data. The comparison of the new method with the conventional method shows that the accuracy of the force calculation can be remarkably improved, especially in down-stream stands where the reduction in draft is rather small, and that the inter-stands load distribution can be well balanced.
In a wide region water supply system, a water transport by open channel or conduit has an advantage of the low cost for the effective use of the potential energy to realize greater capacity of water transportation to ...
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In a wide region water supply system, a water transport by open channel or conduit has an advantage of the low cost for the effective use of the potential energy to realize greater capacity of water transportation to a point in the great distance. But we must take into consideration of transport lag varying with flow for the optimal operation or management. Hitherto, however, the optimization technique has neglected this kind of lag. We have developed the hierarchical optimization technique for the system with constant lag. In this paper we consider the system coupled by the long transport channels or conduits and present the hierarchical optimization technique, taking account of transport lags varying with flow. The optimization of this kind of system encounters the difficulty because the solution of the problem depends implicitly on the transport lags varying with flow. To overcome this difficulty we use a two-level decomposition-coordination technique by Lagrange duality theorem. The tasks of the supremal level are to coordinate the interconnection-unbalance between sub-systems and to improve successively the transport equations according to flow decided by the infimal level units. The task of the infimal level units is to optimize the non-interacted subsystem problems on fixed transport equations. The overall system optimality is obtained within reasonable computing time. An actual example shows this method useful.
The sequential and indeterminate behavior of an end-around-carry (EAC) adder is examined. This behavior is commonly overlooked in the literature. Design modifications to impose determinism are provided. These modifica...
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The sequential and indeterminate behavior of an end-around-carry (EAC) adder is examined. This behavior is commonly overlooked in the literature. Design modifications to impose determinism are provided. These modifications also eliminate the troublesome negative zero found in the one's complement number system.
There are several instances where the classical method of triple-modular redundancy (TMR) reliability modeling may provide predictions which are inadequate. It is shown that for even simple networks such as those exhi...
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