block ciphers have wide applications for hardware and software implementations. in this paper, a new block cipher algorithm with provable security is proposed. the whole structure of the algorithm is novel and has a good encryption and decryption performance. additionally, it has good security with few number of rounds. the structure of the proposed algorithm consists of 4-rounds feistel-like w...

Abstract—A mixed method for model order reduction is presented in this paper. The denominator polynomial is derived by matching both Markov parameters and time moments, whereas numerator polynomial derivation and error minimization is done using Genetic Algorithm. The efficiency of the proposed method can be investigated in terms of closeness of the response of reduced order model with respect ...

We propose a novel low-resolution-aware recursive least squares channel estimation algorithm for uplink multiuser multiple-input multiple-output systems. In order to reduce the energy consumption, 1-bit ADCs are used on each receive antenna. The loss of performance can be recovered by the largescale antenna arrays at the receiver. The proposed adaptive channel estimator can mitigate the distort...

This paper propose a new complex adaptive notch Þlter (ANF) structure based on the Steiglitz-McBride (SM) method. Recursive least square (RLS) algorithm is applied to the proposed ANF with optimized stepsize. Simulations show that RLS-SM ANF converges fast and requires less computational complexity than the conventional ANF using recursive prediction error (RPE) algorithm.

The maximum correntropy criterion (MCC) has recently been successfully applied to adaptive filtering. Adaptive algorithms under MCC show strong robustness against large outliers. In this work, we apply the MCC criterion to develop a robust Hammerstein adaptive filter. Compared with the traditional Hammerstein adaptive filters, which are usually derived based on the well-known mean square error ...

Abshact-A recursive integrated square error minimization technique is developed to solve integral equations occurring in electromagnetic scattering problems. The underlying idea is a generalization of the concept of the second minimization step recently proposed by van den Berg. This is implemented by a structured latfice algorithm similar to the lattice algorithms which emerged in the iast dec...

In this work, we consider an elliptic partial differential equation with a random coefficient solved with the stochastic collocation finite element method. The random diffusion coefficient is assumed to depend in an affine way on independent random variables. We derive a residual-based a posteriori error estimate that is constituted of two parts controlling the stochastic collocation (SC) and t...

Tian Zhongda, Li Shujiang, Wang Yanhong, Zhang Chao College of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China Corresponding author: Tian Zhong-da,Email:[email protected] Abstract: In order to improve control performance of nonlinear systems, a predictive control method based on improved free search algorithm and least square support vector machi...

Designing a Least Mean Square (LMS) family adaptive algorithm includes solving the wellknown trade-off between the initial convergence speed and the mean-square error in steady state according to the requirements of the application at hands. The trade-off is controlled by the step-size parameter of the algorithm. Large step size leads to a fast initial conver‐ gence but the algorithm also exhib...