Fault Tolerant Diminished Filters Using Weighted Code Technique

Digital filters are widely used in signal processing and communication systems. In this the achievement of reliability of those systems is critical. So the fault tolerant filter implementations are needed. There are many techniques that exploit the filters' structure and properties to achieve fault tolerance in order to reduce the complexity in the filter. In those complex systems, it is common that some of the filters operate in parallel to provide the error free output to the filters by using hamming code in redundant module. It is one of the error correction code type. In this method it is using correction as single fault correction. The existing scheme allows more efficient protection when the number of parallel filters is large. The technique is evaluated using parallel finite impulse response filters showing the effectiveness in terms of protection and implementation cost. In proposed scheme weighted code technique is used to find the faults in digital filters with minimum number of parallel filters in the redundant module.