An implementation method of partial correlation matched filter in the CDMA receiver

2016 ◽  
Author(s):  
Ding Guodong ◽  
Fang Zhigang
Keyword(s):  
Partial Correlation ◽  
Matched Filter ◽  
Implementation Method ◽  
Cdma Receiver

scholarly journals Implementation of CDMA receiver using Recursive Digital Matched Filter

2014 ◽  
Vol 4 (3) ◽  
pp. 23-28 ◽  
Author(s):  
N. Srisakthi ◽  
◽  
Ch. V. Rama Rao ◽  
M. Vidya
Keyword(s):  
Matched Filter ◽  
Digital Matched Filter ◽  
Cdma Receiver

BER performance analysis of Subtractive interference cancellation (SIC) Using Rayleigh channel in DS-CDMA Receiver system

2014 ◽  
Vol 13 (6) ◽  
pp. 4603-4614
Author(s):  
Mr. Wasim Khan ◽  
Mrs Nilofar Khan ◽  
Sanmati Jain
Keyword(s):  
Interference Cancellation ◽  
Matched Filter ◽  
Parallel Interference Cancellation ◽  
Rayleigh Channel ◽  
Receiver System ◽  
Interference Elimination ◽  
Last Stage ◽  
Code Division Multiple ◽  
Cdma Receiver ◽  
Current Stage

In this paper, we present and analyze the performance of a parallel interference cancellation (PIC) scheme for multicarrier (MC) direct-sequence code-division multiple-access (DS-CDMA) systems. In order to mitigate the multi-path interference (MPI) in the DS CDMA system. At each cancellation stage in the proposed PIC scheme, on each subcarrier, a weighted sum of the soft outputs of the other users in the current stage is cancelled from the soft output of the desired user to form the input to the next stage. At the last stage, the interference cancelled outputs from all the subcarriers are maximal ratio combined (MRC) to form the decision statistic. Parallel interference elimination is first proposed in this paper the multi-path interference are evaluated by tentative decision and known user information. Then the performance over Rayleigh fading channel are analyzed and compared to Matched filter, Decorelator, successive interference cancellation (SIC) and conventional parallel interference cancellation (PIC). It is shown that PIC performance can be improved greatly by using this method with simple structure and easy implementation.

IMBALAN DAN GAYA KEPEMIMPINAN PENGARUHNYA TERHADAP KEPUASAN KERJA KARYAWAN DI BALAI BESAR INDUSTRI HASIL PERTANIAN BOGOR

2018 ◽  
Vol 1 (01) ◽  
pp. 17
Author(s):  
Ramlan Ruvendi
Keyword(s):  
Job Satisfaction ◽  
Multiple Regression ◽  
Correlation Coefficient ◽  
Analysis Of Variance ◽  
Partial Correlation ◽  
Multiple Correlation Coefficient ◽  
Multiple Correlation ◽  
Average Value ◽  
Partial Correlation Coefficient

The study was carried out to find out whether there were influence and correlation bet-ween : a) Reward received by the IRDABI’s employees on their job satisfaction. b) style of the leader-ship on the job satisfaction. c) Reward together with style of leadership on the job satisfaction of IR-DABI’s employees.The result of the study showed that there was significant correlation and influence between the reward on the job satisfaction with was shown by the value of partial correlation coefficient of 0.6185 and coefficient of multiple regression for reward variable (β1) of 0.412. The influence of variable for style of leadership on the job satisfaction was also significant with the partial correlation coefficient of 0.5495 and coefficient of multiple regression (β2) of 0.355.In the test of Analysis of Variance (ANOVA) on the equation of multiple regression show that F-value was bigger that F-table (F = 58.97 > F-table = 3.098) or the Probability Value smaller than 0.05. At showed that there was significant correlation and influence between reward variables all together with style of leadership on the job satisfaction of employees. The value of multiple correlation coefficient (R) was 0.751 and R Square (R2) was 0.564. Value of R Square (0.564) meant that 56.5% of variation pro-portion total of job satisfaction can be eliminated of equation of multiple regression was used as the es-timator rather than using average value of job satisfaction as the estimator.

Object Detection Using an Ideal Observer Model

2020 ◽  
Vol 2020 (16) ◽  
pp. 41-1-41-7
Author(s):  
Orit Skorka ◽  
Paul J. Kane
Keyword(s):  
Object Detection ◽  
Matched Filter ◽  
Image Sensors ◽  
Ideal Observer ◽  
Noise Power ◽  
Relative Evaluation ◽  
Detection And Identification ◽  
Cross Correlation Analysis ◽  
Observer Model ◽  
The Ideal

Many of the metrics developed for informational imaging are useful in automotive imaging, since many of the tasks – for example, object detection and identification – are similar. This work discusses sensor characterization parameters for the Ideal Observer SNR model, and elaborates on the noise power spectrum. It presents cross-correlation analysis results for matched-filter detection of a tribar pattern in sets of resolution target images that were captured with three image sensors over a range of illumination levels. Lastly, the work compares the crosscorrelation data to predictions made by the Ideal Observer Model and demonstrates good agreement between the two methods on relative evaluation of detection capabilities.

Methods for constructing virtual panoramic tours

2020 ◽  
Author(s):  
Elizaveta Koptenok ◽  
Natalia Lagereva ◽  
Arsenii Savenko ◽  
Ilia Fomin
Keyword(s):  
Real Estate ◽  
Web Service ◽  
Virtual Museums ◽  
Implementation Method ◽  
Spherical Images

The article discusses the existing methods for building virtual panoramic tours. A proprietary implementation method based on the Yandex JS API technology is proposed. The designed web service allows to automatically create virtual panoramic tours from a collection of panoramic spherical images "in one click", in contrast to the considered analogues. The developed technology should be used for educational purposes, for example, for the implementation of virtual museums, as well as on real estate trading platforms to increase ad views and improve sales.

Model Analysis and Implementation Method of Deterministic Execution Replay Based on Virtual Machine

2012 ◽  
Vol 23 (6) ◽  
pp. 1620-1634
Author(s):  
Jia-Geng YU ◽  
Peng ZHOU ◽  
Yan-Jun WU ◽  
Chen ZHAO
Keyword(s):  
Virtual Machine ◽  
Model Analysis ◽  
Implementation Method

Hot spot implementation method of three-layer software framework

2009 ◽  
Vol 29 (9) ◽  
pp. 2541-2545
Author(s):  
Wen HAO ◽  
Ling-mei AI ◽  
Ying-hui WANG
Keyword(s):  
Hot Spot ◽  
Software Framework ◽  
Implementation Method
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