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The main objective of the work is to design transpose form Finite Impulse Response (FIR) filters.
Which are pipelined and always support Multiple Constant Multiplications (MCM) technique that results in
saving of computation. Transpose form of filter configuration does not directly support the block processing
method. Transpose form of block FIR filter is depends on the multiplier based architecture for
reconfigurable applications. Block-processing method is used to support high-throughput hardware
structures. The MCM architecture is also presented for the block implementation of fixed FIR filters. The
MCM method is used to reduce the total number of additions required for the realization of multiplications
using common sub expression sharing. Sub expression sharing means a given input is multiplied with a set
of constants. The MCM method is more effective, when a common operand is multiplied with multiple
number of constants. The proposed structure involves 11% less ADP and 10% less EPS than that of the
existing direct-form block FIR structure. The result of the reconfigurable and fixed FIR filter architecture is
simulated and verified using ModelSim 6.5b and Xilinx 8.1i ISE softwares.