Reconstructions for Analytic Signals Based on Greedy Algorithm

application of upfc based on svpwm for power quality improvement

در سالهای اخیر،اختلالات کیفیت توان مهمترین موضوع می باشد که محققان زیادی را برای پیدا کردن راه حلی برای حل آن علاقه مند ساخته است.امروزه کیفیت توان در سیستم قدرت برای مراکز صنعتی،تجاری وکاربردهای بیمارستانی مسئله مهمی می باشد.مشکل ولتاژمثل شرایط افت ولتاژواضافه جریان ناشی از اتصال کوتاه مدار یا وقوع خطا در سیستم بیشتر مورد توجه می باشد. برای مطالعه افت ولتاژ واضافه جریان،محققان زیادی کار کرده ...

Clustering Analysis based on Greedy Heuristic Algorithm

Due to increase of the mining of compressed data from various types of applications. Clustering is the process for resolving that type of applications. Traditionally we are using different clustering applications for grouping elements with equal priority. And we represent single clustering process with multi dimensional data grouping using clustering but the only problem is performance of group...

Sparse Signals Reconstruction via Adaptive Iterative Greedy Algorithm

Compressive sensing(CS) is an emerging research field that has applications in signal processing, error correction, medical imaging, seismology, and many more other areas. CS promises to efficiently reconstruct a sparse signal vector via a much smaller number of linear measurements than its dimension. In order to improve CS reconstruction performance, this paper present a novel reconstruction g...

On the Greedy Algorithm for Satisfiability

We show that for the vast majority of satissable 3CNF formulae, the local search heuristic that starts at a random truth assignment, and repeatedly ips the variable that improves the number of satissed clauses the most, almost always succeeds in discovering a satisfying truth assignment. Consider the following simple heuristic for SATISFIABILITY: start with a random truth assignment, call it T;...

On discrete multiresolution analytic signals