Blind Identification of Transmission Channel with the method of Higher-OrderCummulants
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2013, Vol 10, Issue 2
Abstract
The modern telecommunication systems require very high transmission rates, in this context, the problem of channels identification is a challenge major. The use of blind techniques is a great interest to have the best compromise between a suitable bit rate and quality of the information retrieved. In this paper, we are interested to learn the algorithms for blind channel identification. We propose a hybrid method that performs a trade-off between two existing methods in order to improve the channel estimation.
Authors and Affiliations
Imad Badi, Mohammed Boutalline, Said Safi
Keywords
Related Articles
- EP ID EP650149
- DOI 10.24297/ijct.v10i2.6998
- Views 91
- Downloads 0
A Petri Net approach for representing Orthogonal Variability Models
The software product line (SPL) paradigm is used for developing software system products from a set of reusable artifacts, known as platform. The Orthogonal Variability Modeling (OVM) is a technique for representing and...
Speech Activity Detection and its Evaluation in Speaker Diarization System
In speaker diarization, the speech/voice activity detection is performed to separate speech, non-speech and silent frames. Zero crossing rate and root mean square value of frames of audio clips has been used to sele...
AFDroid: Anti-Forensics Device To Protect Android System
Mobile devices are among the most common new technologies of the year, gaining even more spread over and success in the day-to-day life of wide range of people. Unfortunately, while the number of mobile devices are used...
REGION GROWING IMAGE SEGMENTATION ON LARGE DATASETS USING GPU
Image segmentation is an important image processing, and it seems everywhere if we want to analyze what inside the image. There are varieties of applications of image segmentation such as the field of filtering noise fro...
New Aggregation Operator for Triangular Fuzzy Numbers based on the Geometric Means of the Slopes of the L- and R- Membership Functions
In recent work authors have proposed four new aggregation operators for triangular and trapezoidal fuzzy numbers based on means of apex angles [1][2][3][4]. Subsequently authors have proposed [5] a new aggregation operat...