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Current sensing amplifier is one of the basic blocks in biosensing interfaces as current-related phenomena are at the base of biological and chemical interfaces. A wide number of papers have been published in literature on the subject showing both continuous time (CT) and discrete time (DT) approaches. Among them, CT solutions show better performance in terms of input-referred noise floor due to the...
Commonly used design procedures for design of digital differentiators are based on various optimization techniques and are also iterative in nature. The order estimation, for differentiators is important from design point of view as it can help in reducing the design time by providing a good initial guess of the order to the iterative design procedures. Moreover, order estimation helps in giving a...
In this paper, we consider inter-spike-interval (abbr. ISI) density of a chaotic spiking oscillator with piecewise-constant vector field. The system generates various spike trains governed by its chaotic behavior. To study these chaotic spike trains is not only interesting for fundamental nonlinear problems, but also important for engineering applications. First, in order to analyze the behavior of...
We describe the mathematical model of a digitally controlled buck converter. This model is an autonomous discrete-time discontinuous piecewise-linear dynamical system in three dimensions. Investigating this system, we find its equilibrium points, describe the shape and size of possible limit cycles (i.e. stable periodic motions), and derive conditions for their existence and non-existence.
The paper deals with the possibility of using the spatio-temporal dynamics of a class of CNN's for texture classification. The principle of the proposed architecture is discussed and the design of a bank of spatial filters for this kind of application is presented. Transistor level simulation and considerations regarding the architecture reconfiguration will be given as well.
A simple memristor-based oscillatory network has been recently proposed as building block for the realization of associative and dynamic oscillatory memories for spatio-temporal pattern recognition applications. The network was found to experience a gamut of complex dynamic behaviors. A complete picture of the network dynamics requires a preliminary study of the basic oscillator. Study of its local...
A recently built IC which implements a CMOS tunable classifier circuit is introduced and test results of an application are presented. The classifier circuit parameters are determined for Iris data set with an algorithm based on Fisher's linear discriminant analysis (LDA); the data is first soft then hard classified. The proposed circuit was fabricated using CMOS AMS 0.35 µm process parameters and...
A new filter class with variable cut-off frequency is designed based on elliptic filter sharpening technique. A higher order IIR filter with a sharp transition band is constructed by using several identical low-order EMQF (elliptic minimal Q-factors) filters and an additional compensating section. The stopband attenuation is achieved by cascading EMQF subfilters, and the compensation section is designed...
Technology scaling is in the era where the chip performance is constrained by its power dissipation. Although the power limits vary with the application domain, they dictate the choice of technology, architecture, and implementation techniques that trade off performance for power savings. Energy-efficient design is often achieved for designs that are sensitive to technology and design parameters....
Three representative class AB Current Mirror OTAs are analytically compared in term of the trade-off speed, current consumption and area. The approach presented allows to derive useful design guidelines. The analysis was validated by means of simulations considering a 90 nm CMOS technology.
In this paper, phase noise analysis of a mechanical autonomous impact oscillator with a MEMS resonator is performed. Since the circuit considered belongs to the class of hybrid systems, methods based on the variational model for the evaluation of either phase noise or steady state solutions cannot be directly applied. As a matter of fact, the monodromy matrix is not defined at impact events in these...
For designing oscillatory circuit, it is important to simulate and search the characteristics. If we analyze a weakly nonlinear circuit, we often apply averaging method which is one of the approximate solving method. In this study, we combine the averaging method to Newton homotopy method and analyze a circuit by using Spice. By solving Newton homotopy method, we obtain multiple equilibrium points...
A new approach to an analog ultra-low power vision chip design is presented. The prototype chip performs low-level convolutional image processing algorithms in real time. The circuit is implemented in 0.35 µm CMOS technology, contains 64 × 64 SIMD matrix with embedded analogue processors APE (Analogue Processing Element). The photo-sensitive-matrix is of 2.2 µm × 2.2 µm size, giving the density of...
In this paper, a new floating frequency dependent negative resistor (FDNR) simulator circuit is presented. The proposed circuits consist of two second generation negative current conveyors (CCII-) and two capacitor and one resistor. The presented topology enables the simulation of ideal floating FDNR. The performance of the proposed floating FDNR is demonstrated on a sixth order band pass filter....
For many years it has been known that having a piecewise linear fitting of a function, one can obtain a good approximation of its Hilbert transform. There are few ways to determine the slopes of a broken line approximation, but the most popular approaches need to specify the breakpoints. In this paper we determine the breakpoints using a divide-and-conquer approach, then the Hilbert transform can...
Using the adequate number of Multilayer Perceptron input, hidden and output layers, the Cellular Neural Network dynamic behavior, when the system converges to a fixed-point, can be reproduced by a Multilayer Perceptron with restrictions. A Multilayer Perceptron can then be defined in order to act as a two neuron Cellular Neural Network and vice-versa. From this, we combine their properties in order...
A new method for the heuristic error estimation, based on nonuniform sampling, is presented. The error is defined as a maximal allowable change of the particular parameter implying small (preset) change of the objective function value. The method is suited to the sampling obtained from a genetic algorithm. The study case is shown. Application to Coulomb Excitation experiments (nuclear physics) data...
In this paper, the N-phase current driven passive mixer clocked by 1/N duty-cycle clocks is analyzed. The analysis shows that the N-phase passive mixer holds the property of impedance transformation, where it can frequency-translate baseband lowpass impedances into RF frequency to synthesize high-Q bandpass filters. This property can be used to replace the off-chip SAW filter in wireless receivers...
The two neuron CNN system with piecewise linear activation function and time dependent external inputs is analyzed and the parametric solutions for the trajectories are given. We look then at the particular case in which the CNN has an antisymmetric template and sine external input. For particular parameter values, this example has been found in the literature to have chaotic behavior. We use the...
In designing switch mode power supply (SMPS), the desirable feature is to have an efficient and compact design. The main idea is to increase the switching frequency and reduce the bulky magnetic parts of the converter. This leads to a compact size, less weight, reduced cost and increased power density of the converter. This paper presents a high frequency full bridge DC to DC converter, using a multilayer...
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