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low complexity algorithm

A low complexity algorithm for the joint antenna selection and user scheduling in multi cell multi user downlink massive MIMO systems

A low complexity algorithm for the joint antenna selection and user scheduling in multi cell multi user downlink massive MIMO systems

... a low-complexity algorithm for JASUS method based on AMCMC algorithm in the downlink multi-cell multi-user massive MIMO ...AMCMC algorithm has been proven helpful for select- ing ...

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A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED 
FOR HETEROGENEOUS ENVIRONMENT

A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT

... classification algorithm for detecting the particular object. This algorithm did not detect the objects with different degree and adaboost is more noise ...

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A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED 
FOR HETEROGENEOUS ENVIRONMENT

A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT

... Edge preservation is also a crucial issue in denoising. A general principle is to smooth the noise and interpolate the missing samples along the edge direction, instead of across the edge direction. Although denoising ...

8

A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED 
FOR HETEROGENEOUS ENVIRONMENT

A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT

... MOBIC [16] proposes an aggregate local mobility metric for the cluster formation process such that mobile nodes with low speed relative to their neighbors have the chance to become clusterheads. Random movements ...

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A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED 
FOR HETEROGENEOUS ENVIRONMENT

A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT

... The ultra-low power requirements of emerging implantable and wearable biomedical devices, necessitates, novel power management schemes. In this paper, we focus our attention on large DSP data path operators such ...

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A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED 
FOR HETEROGENEOUS ENVIRONMENT

A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT

... We analyze various methodologies to identify money laundering crime. We identify that all methods have scalable in accuracy and efficiency. We proposed a Time variant behavioral pattern based money laundering ...

6

A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED 
FOR HETEROGENEOUS ENVIRONMENT

A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT

... When a DAG is submitted for execution, the algorithm starts by finding the paths that connect the entry task(s) and the exit task(s). Then create lists and bins with respect to the count of paths. The bin is ...

11

A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED 
FOR HETEROGENEOUS ENVIRONMENT

A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT

... K-medoids algorithm to produce the results of the manipulation technology, is a variation of the K-means ...means algorithm is a distinguished technique for performing clustering on objects in large ...

6

A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED 
FOR HETEROGENEOUS ENVIRONMENT

A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT

... The aim of this work was to check the possibility of preparing self compacting concrete by using recycled aggregate instead of natural aggregates. From the above literature thoroughly studied and it is found that split ...

7

A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED 
FOR HETEROGENEOUS ENVIRONMENT

A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT

... E.Thandapani and P.Sundaram, On the asymptotic and oscillatory behavior of solutions of second order nonlinear neutral difference equations, Indian Journal of pure and applied Mathematic[r] ...

6

A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED 
FOR HETEROGENEOUS ENVIRONMENT

A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT

... Some applications for network intrusion detection of soft computing techniques are explained in this section. Different Genetic programming (GP) and Genetic Algorithm (GA) are used to detect intrusion detection ...

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A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED 
FOR HETEROGENEOUS ENVIRONMENT

A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT

... In the first stage of parameter analysis, the EEG signals of patients who are free of neurological disorder were analyzed and clearly understood their characteristics and clinical significance. The compressed EEG signal ...

5

A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED 
FOR HETEROGENEOUS ENVIRONMENT

A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT

... Relative Growth Rate and Doubling Time of articles to the literature on MEMS have been tabulated with year wise with number of articles... Relative Growth Rate of Articles and Dt of Arti[r] ...

13

A high throughput architecture for a low complexity soft-output demapping algorithm

A high throughput architecture for a low complexity soft-output demapping algorithm

... of low complex- ity soft-output demapping algorithms to select the best algo- rithm for ...best low complexity algorithm delivering a high throughput of 166 Msymbols/second for Gray mapped ...

8

Embedded Patient Monitoring System

Embedded Patient Monitoring System

... extraction algorithm used to extrac t the hidden data from digital media is Multicarrier Iterative Generalized Least Squares (M ...a low complexity algorithm and it attains the probability of ...

6

(MAI). MIMO

(MAI). MIMO

... searching complexity, we use the Layered ORthogonal lattice Detector (LORD) algorithm and combine the turbo decoding to develop the low-complexity turbo LORD multiuser detector (MUD) for MIMO ...

6

A Low Complexity 8 × 8 DCT Transform for Image Compression

A Low Complexity 8 × 8 DCT Transform for Image Compression

... The signal processing community turned its focus to approximate algorithms for the computation of the 8-point DCT. While not computing the DCT exactly, approximate methods can provide meaningful estimations at ...

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PARAMETRIC MOTION ESTIMATION BASED ON LOW COMPLEXITY IMAGE REGISTRATION ALGORITHM

PARAMETRIC MOTION ESTIMATION BASED ON LOW COMPLEXITY IMAGE REGISTRATION ALGORITHM

... the complexity of the whole estimation process ...the algorithm was having higer ...estimation algorithm[5] which was focused on video processing applications, such as motion-compensated temporal ...

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Low Complexity and High Quality Image Compression Algorithm for Onboard Satellite

Low Complexity and High Quality Image Compression Algorithm for Onboard Satellite

... and low power ...another low complexity, Spectral oriented Least Square (SLSQ) ...lower complexity and super high data throughput through an improved prediction model by breaking the feedback ...

8

Reduced-Complexity Deterministic Annealing for Vector Quantizer Design

Reduced-Complexity Deterministic Annealing for Vector Quantizer Design

... SA algorithm is guaranteed to yield globally optimal solu- tions ...SR algorithm is the generalized Lloyd algorithm together with a stochastic per- turbation step that could either be on the encoder ...

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