This report presents a variable-memory mapping approach of the system level design, which maps the variables of the system behavior to the memories of the system architecture. It first introduces a novel memory size model to compute the required minimal memory sizes when allowing variables with un-overlapped lifetime to share the same memory portion. It then presents variable mapping algorithms...

In this paper we present a new procedure for the design and optimization of a kind of artiicial neural networks (ANN) based on genetic algorithms (GAs). The method proposed here, called g-lvq , uses a genetic algorithm with variable-length genome and a vectorial tness to optimize Learning Vector Quantization (lvq) neural networks. The procedure optimizes simultaneously the classiication accurac...

Many engineering optimization problems frequently encounter continuous variables and discrete variables which adds considerably to the solution complexity. Very few of the existing methods can yield a globally optimal solution when the objective functions are non-convex and non-differentiable. This paper presents a hybrid swarm intelligence approach (HSIA) for solving these nonlinear optimizati...

Design of Experiments in BDD Variable Ordering: Lessons Learned Justin E. Harlow III1 Franc Brglez2 1Dept. of Electrical & Computer Engineering, Duke University, Durham, NC 27708 2CBL (Collaborative Benchmarking Lab), Dept. of Comp. Science, Box 7550, NC State U., Raleigh, NC 27695 http://www.cbl.ncsu.edu/ Abstract { Applying the Design of Experiments methodology to the evaluation of BDD variab...

Variable density spirals have been proposed in a variety of applications, including MR fluoroscopy, cardiac imaging, and MR spectroscopic imaging. In this work, a simple analytic solution for designing a flexible set of variable density spiral trajectory waveforms is presented. The method enables real-time waveform prescription on scanners with limited computational power. Both slew rate-limite...

This paper proposes a system of evolving analog circuit based on a variable length chromosomes. It should confirm the system’s robustness, circuit scalability, and effieciency on time and memory comsumption. Methods featured here are chromosomes of component list, multiobjective evolution, and two-stage evolution. Set of experiments are shown in this paper. First experiment reconfirms the robus...

Several possible implementations of variable-gain current conveyors are proposed. They can be designed with two opamps and current mirrors and exhibit constant bandwidth property. Their configuration as differential-output current amplifiers is straightforward.

In this paper, the least-squares design of variable fractional-delay (VFD) finite impulse response (FIR) digital differentiators is proposed. The used transfer function is formulated so that Farrow structure can be applied to realize the designed system. Also, the symmetric characteristics of filter coefficients are derived, which leads to the complexity reduction by saving almost a half of the...

A variable dimension vector quantizer (VDVQ) has codewords of unequal dimensions. Here, a trellis-based sequential optimal VDVQ encoding algorithm is proposed. Also, a VDVQ codebook design algorithm based on splitting a node with equal or reduced dimensions is proposed that does not require any codebook parameter to be prespecified unlike known schemes. The VDVQ system is shown to outperform a ...

Length estimation of three dimensional digitized curves is considered. Three dimensional 26-directional chain code representation is assumed. Recent results on 3 ? D Euclidean Distance Maps are inapplicable to optimal 3 ? D length estimation. To support optimal design of three dimensional length estimators, chain code probabilities in three dimensional chain encoded digital straight lines are d...