Analog RRS cells-An alternative approach for sampled-data low-pass filters
Date of Original Version
Running recursive sum (RRS) or moving average filters are simple building blocks that are commonly applied in digital signal processing for prefiltering and decimation purposes. This paper presents an efficient implementation of RRS filters employing switched-capacitor techniques. The resulting filter topologies are stray-capacitance insensitive. In order to improve the inherent low-frequency selectivity of these low-pass cells, two novel sharpening procedures are proposed. The zero locations of the analog RRS blocks are, analogous to their digital counterparts, determined exclusively by the applied sampling rate and the order of the filter cell. Hence, the corresponding analog circuits exhibit extremely low element sensitivities. The feasibility of the presented approach is demonstrated by means of two 24th-order silicon prototype filters implemented by a 2-μm double-poly CMOS process. © 1992 Kluwer Academic Publishers.
Analog Integrated Circuits and Signal Processing
Fischer, Godi. "Analog RRS cells-An alternative approach for sampled-data low-pass filters." Analog Integrated Circuits and Signal Processing 2, 1 (1992): 53-65. doi:10.1007/BF00249253.