نتایج جستجو برای: iterative algorithm beam angle selection

تعداد نتایج: 1284108  

Journal: :IEICE Transactions 2012
Ming Ding Jun Zou Zeng Yang Hanwen Luo

In this letter, we propose an efficient relay antenna selection algorithm for the amplify and forward (AF) two-way multipleinput multiple-output (MIMO) relay systems with analogue network coding (ANC). The proposed algorithm greedily selects the additional receivetransmit antenna pair that provides the maximum sum-rate. An iterative computation method is also designed to evaluate the sum-rate e...

Journal: :journal of computer and robotics 0
mojtaba kazemi faculty of electrical and computer engineering, qazvin branch, islamic azad university, qazvin, iran jalal najafi faculty of electrical and computer engineering, qazvin branch, islamic azad university, qazvin, iran mohamad bagher menhaj department of electrical engineering, amirkabir university, tehran, iran

the ball and beam system is one of the most popular laboratory setups for control education. in this paper, we design a fuzzy pd cascade controller for a ball and beam system using asexual reproduction optimization (aro) technique. the ball & beam system consists of a servo motor, a grooved beam, and a rolling ball. this system utilizes a servo motor to control ball’s position on the beam. chan...

Journal: :IEEE Transactions on Wireless Communications 2020

Introduction: Recent studies of Computed Tomography (CT) conducted on patient dose reduction have recommended using an iterative reconstruction algorithm and mA (mili-Ampere) dose modulation. The current study aimed to evaluate Iterative Dose Reduction Algorithm (IDREAM) as an iterative reconstruction algorithm. Material and Methods: Two CT p...

Journal: :Physics in medicine and biology 2005
Shuai Leng Tingliang Zhuang Brian E Nett Guang-Hong Chen

In this paper, we present a new algorithm designed for a specific data truncation problem in fan-beam CT. We consider a scanning configuration in which the fan-beam projection data are acquired from an asymmetrically positioned half-sized detector. Namely, the asymmetric detector only covers one half of the scanning field of view. Thus, the acquired fan-beam projection data are truncated at eve...

Journal: :مهندسی برق مدرس 0
mohammad moltafet m.sc. student, department of electrical and computer engineering, tarbiat modares university, tehran iran, paiz azmi full professor, department of electrical and computer engineering, tarbiat modares university, tehran iran ali karimi kelayeh m.sc. student, department of electrical and computer engineering, tarbiat modares university, tehran iran moslem foruzesh m.sc. student, department of electrical and computer engineering, tarbiat modares university, tehran iran

in this paper, downlink resource allocation for a sparse code multiple access (scma) based heterogeneous  cellular networks (hcn) is investigated. the main aim of this paper is to obtain joint power allocation and codebook assignment to achieve the least total system transmit power. in this regard, the proposed objective function is formulated as total transmit power subject to users minimum ra...

2007
Panagiotis Bougioukos Dionisis A. Cavouras Antonis Daskalakis Ioannis Kalatzis Spiros Kostopoulos Pantelis Georgiadis George Nikiforidis Anastasios Bezerianos

A biomarker selection system is proposed for identifying biomarkers related to prostate cancer. MS-spectra were obtained from the National Cancer Institute Clinical Proteomics Database. The system comprised two stages, a preprocessing stage, which is a sequence of MS-processing steps consisting of MSspectrum smoothing, novel iterative peak selection, peak alignment, and a classification stage e...

2015
Dr. N. Sujatha

Remote Sensing Imagery is used by the Government and private agencies for the wide range of applications from military to farm development. Fuzzy c-means clustering is an effective algorithm, but the random selection in center points makes iterative process falling into the local optimal solution easily. In this Paper, a novel clustering method is developed using GA based clustering techniques....

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