VLSI IMPLEMENTATION OF EFFICIENT CODE COMPRESSOR FOR BIO-SIGNAL PROCESSORS

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This paper describes a highly integrated VLSI implementation of code compression technique that can be used for Bio signal processors with reduced storage. An increasing concern in processor design is improved Code density, since it reduces the need for the scarce resource memory and also implicitly improves processor performance in terms of further important design Parameters like power consumption and performance. Code compression also improves the portability that enables System on Chip (SOC) implementation. A dictionary based data compression technique which provides a substantial improvement in the compression efficiency without introducing any additional decompression penalty is introduced here for compressing of neural signals like Electroencephalogram (EEG), Electrocardiogram (ECG), and Electromyogram (EMG). This technique shows 28% of memory saving when implemented in VLSI technology. This may also reduce the power Consumption, since memory consumes a significant amount of processor's power.