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- Leon, George S. Moschytz
- 1999

This tutorial paper proposes a subclass of cellular neural networks (CNN) having no inputs (i.e., autonomous) as a universal active substrate or medium for modeling and generating many pattern formation and nonlinear wave phenomena from numerous disciplines, including biology, chemistry, ecology, engineering, physics, etc. Each CNN is defined mathematically… (More)

—A procedure for the design of allpole filters with low sensitivity to component tolerance is presented. The filters are based on resistance–capacitance (RC) ladder structures combined with single operational amplifiers. It is shown that by the use of impedance tapering, in which L-sections of the RC ladder are successively impedance-scaled upwards, from… (More)

An all-analog high-speed decoding technique is described which is suitable for magnetic recording (MR) and other computationally demanding applications. A de-coder for a binary (18,9,5) tail-biting trellis code, which is much simpler than the codes used for MR, has been chosen to demonstrate this technique. It achieves a decoding rate of 100 Mbit/s at a… (More)

— In this paper, we present an analytical design approach for the class of bipolar cellular neural networks (CNN's) which yields optimally robust template parameters. We give a rigorous definition of absolute and relative robustness and show that all well-defined CNN tasks are characterized by a finite set of linear and homogeneous inequalities. This system… (More)

— The design of various high-speed interface architectures for off-chip connections to and from analog, iterative VLSI decoders is discussed. It is shown that for applications with high transmission rates and low to medium accuracy, MOSFET-only R-2R ladders in combination with switched-current memory cells are ideally suited, due to their current mode… (More)

- Markus Erne, George S. Moschytz, Christof Faller
- ICASSP
- 1999

This paper presents a new approach to the adaptation of a wavelet filterbank based on perceptual and rate-distortion criteria. The system makes use of a wavelet-packet transform where each subband can have an individual time-segmentation. Boundary effects can be avoided by using overlapping blocks of samples and therefore switching bases is possible at… (More)

- H P Schmid, G S Moschytz
- 2000

The authors show how continuous-time active-RC filters can be implemented in CMOS by replacing all resistors by MOSFETs operating in the linear region. As an example, a 24MHz active-MOSFET-C single-amplifier biquadratic lowpass filter with a pole-Q of 3 implemented in a 0.6 µ m CMOS process is discussed. By comparing measurements of a test chip, simulations… (More)

— Feature Extraction is an important step in fingerprint-based recognition systems. In this paper, a CNN Fingerprint Feature Extraction Algorithm is presented. It is applied to thinned fingerprints which have been previously obtained from real gray-scale, noisy fingerprints in the Image-Preprocessing stage, also by using CNNs. Examples are given to… (More)

— This paper describes two related topics. First, it is shown how the concept of the MOSFET-C integrator can be extended to single-amplifier filter biquads. Then a new differential input balanced-output current conveyor (CCII) is presented , which has two essentially symmetrical and balanced signal paths. Using this CCII, a 4th-order lowpass filter cascade… (More)

- Bahram Mirzai, Zhenlan Cheng, George S. Moschytz
- 1998

A learning algorithm based on the decomposition of the A-template into symmetric and anti-symmetric parts is introduced. The performance of the algorithm is investigated in particular for coupled CNNs exhibiting diffusion-like and propagating behavior.