نتایج جستجو برای: Moving average filter

تعداد نتایج: 584377  

Journal: :IEEE Transactions on Signal and Information Processing over Networks 2019

Journal: :World Academics Journal of Engineering Sciences 2014

Journal: :journal of electrical and computer engineering innovations 0
ali badri department of faculty of electrical engineering shahid rajaee teacher training university

this paper represents a complete survey on generation companies’ (gencos’) optimal bidding strategy problem in restructured power markets. in this regard after an introduction to competitive electricity markets, concept of optimal bidding strategy is presented. considering large amount of works accomplished in this area a novel classification is implemented in order to categorize the existing d...

Journal: :journal of sciences, islamic republic of iran 2003
b. shoushtarian

in many computer vision applications, segmenting and extraction of moving objects in video sequences is an essential task. background subtraction, by which each input image is subtracted from the reference image, has often been used for this purpose. in this paper, we offer a novel background-subtraction technique for real-time dynamic background generation using color images that are taken fro...

Journal: :International Journal for Research in Applied Science and Engineering Technology 2019

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه یزد - دانشکده مهندسی برق و کامپیوتر 1393

در این پایان ‏نامه الگوریتم‏ های مختلفی برای پیش‏بینی توان تولیدی سامانه‏ های فتوولتائیک، برای بازه زمانی 10 دقیقه آینده، با استفاده از سری زمانی از داده‏ های مربوط به تولید توان این سامانه‏ ها پیشنهاد شده و مورد ارزیابی قرار می‏گیرند. نتایج نشان می‏دهد که عملکرد الگوریتم‏ها برای روز‏های آفتابی و ابری یکسان نیست. با این حال در میان این الگوریتم‏ها، نتایج شبیه‏سازی نشان می‏دهد که مدل ( auto-regr...

Journal: :CoRR 2012
Gol Kim Ri Suk Yun

We propose a hybrid forecast based on extended discrete grey Markov and variable dimension Kalman model and show that our hybrid model can improve much more the performance of forecast than traditional grey Markov and Kalman models. Our simulation results are given to demonstrate that our hybrid forecast method combined with degree of grey incidence are better than grey Markov and ARFIMA model ...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید