iterative low-complexity algorithm
A low complexity iterative channel estimation and equalisation scheme for (data-dependent) superimposed training
... an iterative manner, where the equalised symbols obtained through traditional ST in a first step are fed back to the ST algorithm so that the information noise can be reduced, and hence better channel ...
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(MAI). MIMO
... an iterative receiver with SISO decoder and its performance is very close to the ideal MAP ...LORD algorithm and combine the turbo decoding to develop the low-complexity turbo LORD MUD for ...
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Low complexity adaptive iteration algorithm for frequency tracking in OFDM systems
... (13), the temporary CIR estimate is implicitly evaluated. The reason why we do not explicitly show CIR in both the SLC-CFO and the LC-CFO is that we focus on the simplification of the iterative CFO estimator ...
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Low Complexity Iterative Receiver for Space Time Coded Signals over Frequency Selective Channels
... and complexity. Since this type of algorithm considers a reduced number of states corresponding to a reduced number of taps of the channel [6, 7, 8], it is desirable to design a multidimensional WMF and to ...
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A high throughput architecture for a low complexity soft-output demapping algorithm
... double iterative sys- tems such as MIMO and Code-Aided Synchronization en- gage the demapper in their outer ...double iterative sys- tems require very high throughput ...
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Low Complexity Iterative Receiver Design for Shallow Water Acoustic Channels
... or iterative receiver, that is, the exchange of soft ...Viterbi Algorithm (SOVA), where soft information is exchanged between the equalizer and ...A low complexity iterative equalizer ...
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Low-complexity iterative receiver design for mobile OFDM systems
... modified low-complexity MMSE equalizer that takes the decision error into account is then ...Turbo-like iterative equalization ...exponential complexity. Subsequently, MMSE- based reduced ...
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Implementation on FPGA for Tuned Low Complexity Modified Curve Fitting Algorithm
... using iterative error minimization ...for low complexity. The modified curve fitting algorithm give an appreciable result of error minimization ...fitting algorithm calculate less ...
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Low Complexity Discrete Bit loading for OFDM Systems with Application in Power Line Communications
... the algorithm and its computational complexity is essential for the implementa- tion of loading ...a low complexity non-iterative discrete bit-loading algo- rithm to maximize the data ...
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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 ...
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Low complexity subcarrier and power allocation algorithm for uplink OFDMA systems
... either joint processing or coordination, has its own per- formance gain and signalling overhead cost. Proper trade- off between the achieved gain in the performance and the incurred signalling overhead need to be ...
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Novel DHT Algorithm Implementation Using Sharing Multipliers
... (VLSI) algorithm for a 2 𝑁 -length discrete Hartley transform (DHT) that can be efficiently implemented on a highly modular and parallel VLSI architecture having a regular structure is ...DHT algorithm can ...
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A low complexity cell clustering algorithm in dense small cell networks
... clustering algorithm with low complexity for dense small cell networks, which is a promising deployment in next-generation wireless ...Our algorithm is a matrix-based algorithm where ...
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Low complexity lattice reduction algorithm for MIMO detectors with tree searching
... the complexity, the LR-aided FSD algo- rithm lowers the number of tree levels in the FE stage, in order to reduce the parent nodes generated at the FE ...proposed algorithm maintains near-optimal BER ...
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Simulation Studies on Image Reconstruction Algorithm for Portable Electrical Capacitance Tomography
... Fig. 3 shows the normalized permittivity, G where the values are in the range of 0 to 1, reconstructed by LBP, Landweber and GVSPM algorithms and compared to actual conditions for four cases. The number of iteration was ...
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A Novel Low Complexity Histogram Algorithm for High Performance Image Processing Applications
... The modern portable devices are embedding several multimedia applications. The image processing applications on these portable devices demands huge computations and large power/area [1]. Due to the limited battery and ...
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A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT
... 24 The figure 8 shows the texture segmentation of the database image. This process will be done by using the region based segmentation with modified non Euclidean distance measures. The figure 9 shows the corner ...
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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 ...
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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 ...
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Computing the Moore Penrose Inverse of a Matrix Through Symmetric Rank One Updates
... computational complexity of the method is analyzed and a numerical example is ...the algorithm with lower computational complexity is also ...
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