Block-adaptive filtering and its application to seismic-event detection

Block digital filtering involves the calculation of a block or finite set block processing arises from computational advantages of the technique. Block filters take good advantage of parallel processing architectures, which are becoming more and more attractive with the advent of very large scale integrated (VLSI) circuits. The block technique was extended to Wiener and adaptive filters, both of which are statistical filters. The key to this extension is the definition of a new performance index, block mean square error (BMSE), which combines the well known sum square error (SSE) and mean square error.