Abstract. For cryptographic systems the method of confusion and diffusion is used as a fundamental technique to achieve security. Confusion is reflected in nonlinearity of certain Boolean functions describing the cryptographic transformation. In this paper, we present two balanced boolean functions which have low Walsh spectra and high nonlinearity. In the proof of the nonlinearity, a new metho...

Testing of ADC’s differential nonlinearity DNL(k) by the histogram method requires the signal generator with extremely low distortion and high stability of the parameters. Besides this condition generator must be connected to the input of the ADC under test with high suppression of the interfering noise on ground line of instruments. The new type of testing signal has been proposed of the expon...

In this paper, we present an algorithm for the problem of multi-channel blind deconvolution which can adapt to unknown sources with both sub-Gaussian and super-Gaussian probability density distributions using a generalized exponential source model. We use a state space representation to model the mixer and demixer respectively, and show how the parameters of the demixer can be adapted using a g...

An adaptive low-gain integral control framework is developed for tracking constant reference signals in a context of nite-dimensional, asymptotically stable, single-input, single-output linear systems subject to locally Lipschitz, monotone input and output nonlinearities of a general nature: the input nonlinearity is required to satisfy an asymptotic growth condition (of suucient generality to ...

In this paper, the problem of adaptive tracking control is addressed for a class of nonlinear systems with parametric uncertainty, unknown actuator nonlinearity and disturbance. Two type of actuator nonlinearities, that is, backlash-like hysteresis and symmetric deadzone, are considered simultaneously. Without constructing the inverse function of actuator nonlinearity, unified control framework...