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minimum mean-square error detection

MIMO Assisted Space Code Division Multiple Access: Linear Detectors and Performance over Multipath Fading Channels

MIMO Assisted Space Code Division Multiple Access: Linear Detectors and Performance over Multipath Fading Channels

... and minimum mean-square error (MMSE) are considered for detecting the MIMO SCDMA ...multiuser detection is capable of facilitating joint space–time despreading, multipath combining, and ...

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An Efficient High-Throughput for Hard and Soft SC-FDMA MIMO Detectors

An Efficient High-Throughput for Hard and Soft SC-FDMA MIMO Detectors

... low-complexity detection scheme is proposed for the multiple-input multiple-output (MIMO) single- carrier frequency division-multiple access (SC-FDMA) systems, which is suitable for ...proposed detection ...

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PERFORMANCE AND COMPARISON OF LINEAR   MULTIUSER DETECTORS IN DS-CDMA USING CHAOTIC SEQUENCE

PERFORMANCE AND COMPARISON OF LINEAR MULTIUSER DETECTORS IN DS-CDMA USING CHAOTIC SEQUENCE

... Multi-User Detection schemes were introduced to detect the users data in presence of ...(Minimum Mean Square Error) detector with chaotic sequence as spreading ...

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Detecting and Preventing DDoS Attacks in Cloud

Detecting and Preventing DDoS Attacks in Cloud

... DDoS detection technique. In this technique we estimate the mean value of distance in the next time period by using the exponential smoothing estimation ...DDoS detection technique uses MMSE ...

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Hybrid Iterative Multiuser Detection for Channel Coded Space Division Multiple Access OFDM Systems

Hybrid Iterative Multiuser Detection for Channel Coded Space Division Multiple Access OFDM Systems

... multiuser detection (MUD) techniques have recently at- tracted intensive research ...the minimum mean-square error (MMSE) SDMA-MUD exhibits a lower com- plexity at the cost of a ...

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Maximum Distortion Attacks in Electricity Grids

Maximum Distortion Attacks in Electricity Grids

... with minimum-mean-square-error state es- timation is studied for centralized and decentralized ...and detection probability by sharing only a limited number of bits ...

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Zero Forcing and Minimum Mean Square Error Multiuser Detection in Generalized Multicarrier DS CDMA Systems for Cognitive Radio

Zero Forcing and Minimum Mean Square Error Multiuser Detection in Generalized Multicarrier DS CDMA Systems for Cognitive Radio

... Above three types of MMSE-MUDs have been derived. As our simulation results in Section 6 shown, the SMMSE- MUD-II achieves the worst BER performance among these MMSE-MUDs. However, the BER performance of the SMMSE-MUD-II ...

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ICI cancellation using normalized minimum mean square error in MIMO OFDM 
		systems

ICI cancellation using normalized minimum mean square error in MIMO OFDM systems

... provide optimisation in a single-cell D-MIMO system with multiple users served in orthogonal resources. Due to the mutual coupling constraints computational complexity increases and hence dual decomposition technique is ...

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The Behaviour of Vertical Bell Laboratories Layered Space Time Algorithm Combined with Multiuser Detection Schemes in Wireless Communication System

The Behaviour of Vertical Bell Laboratories Layered Space Time Algorithm Combined with Multiuser Detection Schemes in Wireless Communication System

... decorrelator, Minimum Mean Square Error (MMSE) and Multistage Parallel Interference Cancellation (MPIC) receiver outperform the conventional ...

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Performance of MMSE Multiuser Detection in Cellular DS CDMA Systems Using Distributed Antennas

Performance of MMSE Multiuser Detection in Cellular DS CDMA Systems Using Distributed Antennas

... The bit error rate BER performance of the distributed antenna cellular DS-CDMA system is investigated, when minimum mean-square error MMSE multiuser detection is employed, and when trans[r] ...

5

Minimum Mean Square Error Single User Detection of SDMA Signals Transmitted over Nakagami Fading Channels

Minimum Mean Square Error Single User Detection of SDMA Signals Transmitted over Nakagami Fading Channels

... The MMSE detector derived above is capable of jointly facil- itating space-time decoding, beamforming and receive diversity combining. Below an example is provided for enhancing our understanding of the MMSE ...

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Robustness of Bootstrap Estimators to Influential Observations

Robustness of Bootstrap Estimators to Influential Observations

... The simulations showed that Fixed-X bootstrapping performs better than the Case Bootstrapping and Residual Resampling when considering 5% 10% and 20% levels of outliers. It was also deduced that the performance of these ...

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Modification of Ratio Estimator for Population Mean

Modification of Ratio Estimator for Population Mean

... population mean or total under ...simple mean estimator provided the study and auxiliary variables are positively ...with minimum variance or mean square error is regarded as the ...

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WATERMARKING TECHNIQUE FOR SECURITY

WATERMARKING TECHNIQUE FOR SECURITY

... The issues with all described approaches arises when we consider the resistance against decryption attacks of the algorithms. The spatial additive watermarks can directly be detected and subtracted to find unsecure ...

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Improvement in performance of Analog and Digital Beamformer using Channel estimation methods

Improvement in performance of Analog and Digital Beamformer using Channel estimation methods

... The MIMO system provides generally two types of gain known as spatial multiplexing and diversity gain. The multiplexing gain transmits independent data signals from different antennas to increase the throughput. The ...

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Motion Object Detection Using Mean Square Error Method

Motion Object Detection Using Mean Square Error Method

... object detection but these methods could not recognize rapid scene changes or an object does not move relatively for a long ...object detection method which showed high performance with regard to the ...

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Successive interference cancellation schemes for time-reversal space-time block codes

Successive interference cancellation schemes for time-reversal space-time block codes

... matching mean and variance by Gaussian approximation [15], [16], such that the resulting signal detector has very low computational ...bit error rate (BER) that is very close to ML sequence estimation ...

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Restoration of Color Image Corrupted by Gaussian Noise

Restoration of Color Image Corrupted by Gaussian Noise

... Edges define the boundaries between regions in an image, which helps with segmentation and object recognition. In order to better appraise the noise cancellation behavior of our filter from the point of view of human ...

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Performance of LTE Channel Estimation Algorithms for Different Interpolation Methods and Modulation Schemes

Performance of LTE Channel Estimation Algorithms for Different Interpolation Methods and Modulation Schemes

... Channel Estimation is the process of characterizing the effect of the physical medium on the input sequence. The channel estimate is essential for removing inter symbol interference, noise rejection techniques etc. In ...

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Analyzing Cervical Cancer by using an Ensemble Learning Approach based on Meta Classifier

Analyzing Cervical Cancer by using an Ensemble Learning Approach based on Meta Classifier

... In this work, we have used different meta classification techniques on the data set of the factors that cause cervical cancer. Here we have evaluated highest significant ranked features from different feature selection ...

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