Block floating-point implementation of digital filters using the DSP56000
Microprocessors & Microsystems
Low-complexity adaptive decision-feedback equalization of MIMO channels
Signal Processing
IEEE Transactions on Signal Processing
Realization of block floating-point digital filters and applicationto block implementations
IEEE Transactions on Signal Processing
Roundoff errors in block-floating-point systems
IEEE Transactions on Signal Processing
Absolute error bounds for block floating-point direct-form digitalfilters
IEEE Transactions on Signal Processing
Calculating the FHT in hardware
IEEE Transactions on Signal Processing
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A scheme for efficient realization of the adaptive decision feedback equalizer (ADFE) is presented using the block floating point (BFP) data format which enables the ADFE to process rapidly varying data over a wide dynamic range, at a fixed point like complexity. The proposed scheme adopts appropriate BFP format for the data as well as the filter weights and works out separate update relations for the filter weight mantissas and exponents. Overflows at the feed forward and the feedback filter output are prevented by certain dynamic scaling of the respective input, while overflow in weight update calculations is avoided by imposing certain upper bound on the algorithm step size @m which is shown to be less than the convergence bound. The proposed scheme deploys mostly simple fixed point operations and is shown to achieve considerable computational gain over its floating point based counterpart.