{'fraction_non_alphanumeric': 0.020338983050847456, 'fraction_numerical': 0.005649717514124294, 'mean_word_length': 5.23943661971831, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A low power adaptive filter using dynamic reduced 2's-complement representation

We describe the IC implementation and testing of a low-power adaptive FIR filter. A new technique is used in its implementation, one that can be employed in other digital signal processing applications where input signals have large dynamic ranges. We propose the use of a reduced 2's complement signal representation to conditionally disable the internal signal transitions in the most-significant-bits of a data path. The key idea is to generate the signal representation dynamically according to the signal magnitude. The proposed technique retains all of the easy-to-implement properties of the widely-used 2's complement number representation and is particularly suitable for the implementation of arithmetic operations. Over a 32% power savings has been achieved in our adaptive filter application.