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A direct synthesis algorithm is developed to synthesize electromagnetic structures in presence of nonlinear circuits in time domain. In this algorithm, the targeted performance is directly found as an explicit function of design parameters without any iteration. This function is also obtained in time domain, and hence valid across a broad band of frequencies. Numerical experiments have validated the...
Absolute value comparators are becoming essential building blocks for new biomedical signal processing systems. Direct conversion of conventional comparators, which work on actual signal values, into absolute value comparators involve full wave rectifiers and this is suboptimal for a number of reasons. This paper presents a novel absolute value comparator circuit implemented without the use of full-wave...
Battery equalization systems are circuit modules designed to balance the charges among the cells in battery management systems. Within this area, most research and development efforts have been spent on electrical hardware design. On the other hand, limited studies have been carried out to investigate the systems' performances from the system level. The commonly-used methods in these studies include...
The development of social networks changes the way of information diffusion and the means of selling and buying. In this paper we study the problem of online promoting for a product with limited budget in the competitive propagation social networks, we called this problem competitive recommendation marketing strategy (CRM). The key of CRM problem is to find out a fixed number of target nodes as the...
The automatized design supposed method is relating to elaboration of large-scale integration which is used in converter equipment. A selection believability rising of the optimal decision over a structure and arrangement of elements in a chip by the integration of sheet-oriented, system and logical levels in a design cycle now as a CMOS structures models introduction which is created in terms of layout...
Real-time simulation technique of power systems is becoming realizable due to the growing significant computational power of computing platform. This paper builds a real-time prototypical platform based on PXI and LabVIEW as its main hardware and software architecture. Taking advantage of the integration characteristics of NI products, the platform embodies high expansibility and good compatibility...
The top-down approach to system design allows obtaining separate specifications for each subsystem. In the case of vision systems, this means propagating system-level specifications down to particular specifications for e. g. the image sensor, the image processor, etc. This permits to adopt different design strategies for each one of them, as long as they meet their own specifications. This approach...
The fault injection technique is utilized for simulation-based verification of safety-related analog and mixed-signal (AMS) circuits for compliance with safety requirements in the presence of hardware faults. Exhaustive fault simulation is very time consuming with respect to the number of faults to simulate at circuit level. For efficient simulation-based verification, a fault grouping approach is...
This paper presents an efficient yield optimization approach using k-means clustering algorithm to reduce Monte Carlo (MC) simulations. This approach uses a commercial electrical simulator and PDK models for evaluation purposes. The method was integrated in an analog IC design flow that includes the AIDA-C circuit sizing optimization tool. The proposed yield estimation technique reduces the number...
In this paper an algorithm of designing continuous time delta-sigma (CT ΔΣ) modulators is presented. The proposed algorithm is based on computing the coefficients of loop filter while the amplifiers have finite gain-band-width (GBW). A 3rd order CT modulator with 20 MHz signal bandwidth has been designed as a case study. With some mathematical formulas in MAPLE and MATLAB, a robust procedure has been...
In this paper, an algorithmic framework for cost-efficient design optimization of miniaturized impedance matching transformers has been presented. Our approach exploits a bottom-up design that involves translating the overall design specifications for the circuit at hand to its elementary building blocks (here, compact microstrip resonant cells, CMRCs), as well as fast surrogate-assisted optimization...
In this paper, the large-scale, high-speed and high-precision simulation method for SI/PI/EMI design is described from the viewpoints of the algorithm and hardware acceleration. First, recent SI/PI/EMI issues are summarized. Next, a variety of acceleration techniques are described. Finally, a large-scale, high-speed and high-precision simulation method for the multi-domain/multi-scale electronic system...
The dual-mode delay model, while being effective for characterizing on-chip timing variations, also yields timing analysis results that are overly pessimistic due to the Common Path Pessimism (CPP). In this paper, we develop a fast and accurate block-based algorithm for removing this pessimism in timing analysis, when the dual-mode delay model is used. We illustrate the effectiveness of our algorithm...
An algorithm for sampling the time-domain behaviour of circuits for building nonlinear black-box models is presented. The two-dimensional modelling domain (frequency, forward power level), for which the time-domain behaviour of a circuit is modelled, is sampled adaptively to achieve two goals: (i) apply more focus on the nonlinear regions, (ii) avoid undersampling of the linear regions. The proposed...
Online social search such as Quora and Zhihu brings new ways to obtain answers to questions in social networks. However, personal and other sensitive information may be exposed to others when the question spreads via the social network. People obtain utility when they obtain answers to their questions but may suffer privacy cost when their personal information is known by others. Researchers are seeking...
In this paper, we design a resource allocation algorithm for multiuser simultaneous wireless information and power transfer systems for a realistic non-linear energy harvesting (EH) model. In particular, the algorithm design is formulated as a non-convex optimization problem for the maximization of the long-term average total harvested power at EH receivers subject to quality of service requirements...
Multiple starting point optimization is an efficient approach for automated analog circuit optimization. Starting from a set of starting points, the corresponding local optimums are reached by local optimization method Sequential Quadratic Programming (SQP). The global optimum is then selected from these local optimums. If one starting point is located in a valley, it converges rapidly to the local...
Signal selection is the pre-silicon evaluation step which maximizes overall reconstruction rate of state elements. Due to its high complexity, recent efforts on signal selection has focused on sequential nodes in the circuit under debug. In this paper we propose a combinational signal selection algorithm which possibly selects combinational nodes of the circuit to maximize state restoration capability...
The sparse solver is a critical component in circuit simulators. The widely used solver KLU is based on a pure column-level algorithm. In this paper, we point out that KLU is not always the best algorithm for circuit matrices by experiments. We also demonstrate that the optimal algorithm strongly depends on the sparsity of the matrix. Two sparse LU factorization algorithms are proposed for extremely...
This paper proposes a hierarchical fault injection emulation framework tailored to the structure of complex and large application-specific circuits, that performs vulnerability analysis of the system for single event upsets (SEUs) at different design granularities in real-time. In particular, the framework allows for efficient probabilistic modelling of the SEU impact, making it particularly applicable...
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