{"rule":"ABOUT_ITS_NN","sentence":"^\\QIn contrary to it's counterpart, it also uses past output samples in addition to current and past input samples - therefore the response of an IIR-filter theoretically continues indefinitely.\\E$"}
{"rule":"THE_SUPERLATIVE","sentence":"^\\QNormalized Least Mean Squares (NLMS): An extension of the LMS algorithm that normalizes the step size based on the input signal, improving convergence speed.\\E$"}
{"rule":"MORFOLOGIK_RULE_EN_US","sentence":"^\\QThe necessity for the use of electric filters arose the first time in the beginnings of the 20th century with the development of the quite young fields of tele- and radio-communication.\\E$"}
{"rule":"EN_A_VS_AN","sentence":"^\\QFigure \\E(?:Dummy|Ina|Jimmy-|Dummy-|Maniquí-|Maniquíes-)[0-9]+\\Q showed us the basic concept of an \\E(?:Dummy|Ina|Jimmy-|Dummy-|Maniquí-|Maniquíes-)[0-9]+\\Q implementation, without a detailed description how the corrupted signal \\E(?:Dummy|Ina|Jimmy-|Dummy-|Maniquí-|Maniquíes-)[0-9]+\\Q and the reference noise signal \\E(?:Dummy|Ina|Jimmy-|Dummy-|Maniquí-|Maniquíes-)[0-9]+\\Q are formed.\\E$"}
{"rule":"EN_A_VS_AN","sentence":"^\\QThe system combines the flexibility of an \\E(?:Dummy|Ina|Jimmy-|Dummy-|Maniquí-|Maniquíes-)[0-9]+\\Q-based control processor with the computational efficiency of a specialized \\E(?:Dummy|Ina|Jimmy-|Dummy-|Maniquí-|Maniquíes-)[0-9]+\\Q, splitting general computing tasks from real-time signal processing workloads.\\E$"}
