An efficient preprocessing technique of arranging an electroencephalogram ( EEG) signal in matrix form is proposed for real-time lossless EEG compression. The compression algorithm consists of an integer lifting wavel...
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An efficient preprocessing technique of arranging an electroencephalogram ( EEG) signal in matrix form is proposed for real-time lossless EEG compression. The compression algorithm consists of an integer lifting wavelet transform as the decorrelator with set partitioning in hierarchical trees as the source coder. Experimental results show that the preprocessed EEG signal gave improved rate-distortion performance, especially at low bit rates, and less encoding delay compared to the conventional one-dimensional compression scheme.
Conventional solutions to the problem of transmitting analogue data over noisy digital channels separate the source coder and channel coder designs. Here, the authors show that simulated annealing is a promising tool ...
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Conventional solutions to the problem of transmitting analogue data over noisy digital channels separate the source coder and channel coder designs. Here, the authors show that simulated annealing is a promising tool for joint optimisation of both the quantiser and the channel code
The fundamentals of the mathematical theory of signal processing, named processor coding, will be shown to inherently arise as the computational time compression dual of Shannon's mathematical theory of communicat...
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ISBN:
(纸本)081946306X
The fundamentals of the mathematical theory of signal processing, named processor coding, will be shown to inherently arise as the computational time compression dual of Shannon's mathematical theory of communication which is also known as source coding. source coding is concerned with signal source memory space compression while processor coding addresses 'Signal processor computational time compression. Their combination is named compression-designs and referred as Conde in short. A compelling and pedagogically appealing diagram will be discussed highlighting its successful application to real-world knowledge-aided (KA) airborne moving target indicator (AMTI) radar.
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