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在移动数据通信系统信号经传播媒介到达接收端会发生畸变,现行的通信系统普遍采用
自适应均衡技术来克服ISI和多普勒扩展。自适应均衡技术需要重复发送已知的训练序列直至
有效均衡为止I。“盲均衡(Blind Equalization,BE)111”技术仅利用接收序列本身的相关性便可
均衡信道特性。-Signal in the mobile data communication systems to reach the receiver via the mass media distorti
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盲均衡技术能够仅利用接收信号的统计特性对信道特性进行均衡,克服了传统自适应均衡技术需要训练序列、降低系统有效信息传输率的缺陷,成为目前的研究热点。本文简单介绍了通信中的盲均衡技术,并针对一个简单的信道模型给出了基于遗传算法的盲均衡算法。仿真结果表明,多次迭代的盲均衡的均值能够很好地代表未知信道的性能。
-Blind equalization was an adaptive equalization technique,which could equalize the properties o
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信道的频率响应是时变的,设计最佳的固定的解调滤波是不可能的,因此,需要一种能补偿或减少接收信号中ISI的方法,这种ISI补偿方法称为均衡方法。
自适应均衡技术能够用来抵消由于信道带限或时间色散所导致的码间干扰,可以使通信系统更有效地利用信道带宽。
-Channel frequency response is time-varying, the best fixed design demodulation filter is impossible, therefore, need to
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1. Understand Histogram Equalization technique.
2. Practice the combination of several spatial enhancement techniques
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adaptive equalization techniques
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Color Image Enhancement Techniques:
A Critical Review
Abstract
Image enhancement is one of the key issues in high quality pictures such as digital camera and HDTV. Since
Image clarity is very easily affected by lighting, weather, or equipment
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