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Multiuser Data Separation for Short Message Service using ICA

机译:使用ICA的短消息服务的多用户数据分离

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This paper presents a new algorithm for efficient separation of short messages which are mixed in a multi user short message system. Separation of mixed random binary sequences of data is more difficult than normal sequences. The proposed algo­rithm applies Kullback leibler independent compo­nent analysis over mixed binary sequences of received data. To make ICA sufficient for separation of mixed binary sequences, a random binary tail is inserted after multiuser SMS data at the transmitter side. The random binary tail helps to increase the data length and it makes the ICA more efficient. In this paper, we explain how technically this process is done. This paper presents a new algorithm for efficient separation of short messages which are mixed in a multi user short message system. Separation of mixed random binary sequences of data is more difficult than normal sequences. The proposed algorithm applies Kullback leibler independent component analysis over mixed binary sequences of received data. To make ICA sufficient for separation of mixed binary sequences, a random binary tail is inserted after multiuser SMS data at the transmitter side. The random binary tail helps to increase the data length and it makes the ICA more efficient. In this paper, we explain how technically this process is done.
机译:本文提出了一种新的算法,用于有效分离在多用户短消息系统中混合的短消息。混合随机二进制数据序列的分离比普通序列更困难。拟议的算法对接收数据的混合二进制序列应用了Kullback leibler独立成分分析。为了使ICA足以分离混合的二进制序列,在发送方的多用户SMS数据之后插入了随机的二进制尾部。随机的二进制尾部有助于增加数据长度,并使ICA更有效。在本文中,我们将说明该过程是如何在技术上完成的。本文提出了一种新的算法,用于有效分离在多用户短消息系统中混合的短消息。混合随机二进制数据序列的分离比普通序列更困难。所提出的算法对接收到的数据的混合二进制序列应用了Kullback leibler独立分量分析。为了使ICA足以分离混合的二进制序列,在发送方的多用户SMS数据之后插入了随机的二进制尾部。随机的二进制尾部有助于增加数据长度,并使ICA更有效。在本文中,我们将说明该过程是如何在技术上完成的。

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