This paper presents a systematic method for synthesis of heat exchanger networks, the proposed algorithm consists of three sequential steps to select the optimal approach temperature: i) Estimation of normalized minimum approach temperature, normalized minimum hot utility and normalized minimum cold utility. ii) Fuzzy analogical gates network. iii) Selection of the best weight index. Two analog...

The paper presents a new algorithm for parametric image alignment which when given any local match measure applies global estimation directly to the lo cal match measure data without rst going through an intermediate step of local ow estimation This algo rithm can be applied to any local match measure such as correlation normalized correlation squared or ab solute brightness di erences statisti...

The normalized number of key comparisons needed to sort a list of randomly permuted items by the Quicksort algorithm is known to converge in distribution. We identify the rate of convergence to be of the order Θ(ln(n)/n) in the Zolotarev metric. This implies several ln(n)/n estimates for other distances and local approximation results as for characteristic functions, for density approximation, ...

Learning models and related results depend on the quality of the input data. If raw data is not properly cleaned and structured, the results are tending to be incorrect. Therefore, discretization as one of the preprocessing techniques plays an important role in learning processes. The most important challenge in the discretization process is to reduce the number of features’ values. This operat...

In this paper, a variable step-size block normalized least mean square (VSSBNLMS) algorithm is derived to cancel the feedback interference in a Digital On-Channel Repeater (DOCR) for the Digital Terrestrial Television Broadcasting (DTTB) networks. By dividing the input signal into blocks with the same length and updating the tap weights once per every block, the computational complexity can be ...

We propose a simple algorithm for improving the MDL (minimum description length) estimator of the number of sources of signals impinging on multiple sensors. The algorithm is based on the norms of vectors whose elements are the normalized and nonlinearly scaled eigenvalues of the received signal covariance matrix and the corresponding normalized indexes. Such norms are used to discriminate the ...

Convergence rate of an algorithm is an important factor that determines the deployment of such algorithm in a real time application. In this paper, we propose improved versions of normalized least mean square (NLMS) algorithm: single and multiple -variable step size normalized least mean square (VSSNLMS) algorithms for echo cancellation. The presented algorithms exhibit faster convergence rate ...