### Table 7: Experimental results of the adaptive Lagrangian method in solving QMF lter-bank design problems, using Johnston apos;s solutions as starting points. Filter Type

1997

"... In PAGE 26: ...onvergence times. Similarly, the adaptive method takes 35.1 minutes in solving the 48e design problem, but the static method takes vastly di erent and longer times for di erent initial weights. Table7 shows the experimental results for all the design problems found using the adaptive method, normalized with respect to Johnston apos;s solutions. A value less than 1 for a performance metric means that our design is better on this metric as compared to Johnston apos;s design.... ..."

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### Table 1: Filter weights obtained by the adaptive algorithms.

"... In PAGE 19: ... The desired signal d(n) was obtained by passing s(n) through an FIR lowpass lter of window length N = 11, designed for a cuto frequency !c = 50. The weights of the designed lter are shown in Table1 , in the column entitled `Lowpass FIR apos;. Fig.... In PAGE 21: ... The step-sizes for the linear lter ( = 1:0 10?4) and the weighted median lter ( = 5:0 10?3) were chosen so that these algorithms converged in approximately the same number of iterations as the fastest weighted myriad lter algorithm (which was Algorithm II). The nal lter weights obtained by the various algorithms are shown in Table1 . The three weighted myriad lter algorithms converged to approximately the same weight vectors.... ..."

### Table 1. Comparison based on equation (6) for adaptive wavelet design of nonsubsampled wavelet transform, adaptive wavelet design of orthogonal wavelet transform and Daubechies wavelet(D12).

2002

"... In PAGE 3: ... It has been verified in our experiment that equation (6) is closely proportional to the detection performance, that is, larger value corresponds to more accurate and easier detection of fabric defects. Comparison based on this criterion for adaptive wavelet design of nonsubsampled wavelet transform, adaptive wavelet design of orthogonal wavelet transform and Daubechies wavelet is shown in Table1 . The filter length of the quadrature mirror filter for adaptive wavelet in orthogonal wavelet transform is 12, and we choose the detail space in which the value of equation (6) is larger than the other two detail spaces.... ..."

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### Table 1 Filter Design

1998

"... In PAGE 2: ... The membrane filters are perforated with various shapes of holes such as circular, rectangular and hexagonal. As shown in Table1 , the opening factor of the filters is in the range of 4 % to 45 % with different hole sizes and pitches. As shown in testing section later, the pressure drop, power requirement of the filters to sustain a desired flow rate strongly depend on the opening factor.... In PAGE 3: ...5 psi while a Filter 6 (Fig. 2 (b)) in Table1 bursts at 0.9 psi.... ..."

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### Table 1: Adaptive Filter Characteristics.

1995

"... In PAGE 1: ... A detailed analysis of their ltering and adaptation behavior, together with some practical applications, can be found in [1] [2]. Table1 gives some important characteristics of the three al- gorithms, where M denotes the number of taps/stages of the lterstructures. 2 Adaptive Digital Filters Figure 1 shows the lter{structures of the three chosen adaptive digital lters.... ..."

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### Table 1 Adaptive filtering results

"... In PAGE 7: ...5[14]. Table1 shows the experiment results of our adaptive filtering system in the TREC10. Four evaluation criteria are calculated, including T10SU, T10F, Set Precision and Set Recall.... ..."

### Table 6 Multiplierless 32d QMF filter banks found by DLM with static and adaptive weightsa

1998

"... In PAGE 23: ...ll the coe cients to be 0.9474. After multiplying each coe cient by this scaling factor and restricting each coe cient to a PO2 form with a maximum of 6 ONE bits, we apply DLM with both static and dynamic weights to find the best PO2 designs. Table6 compares the objectives of the designs found and the corresponding convergence times of DLM. Using the adaptive DLM, all the searches con- verge, and most designs have better reconstruction errors.... ..."

### Table 1. Truth table for adaptive filtering.

1997

"... In PAGE 5: ... Numerical simulation result of adaptive filtering of partially correlated signals. To summarize the numerical simulation results, a truth table for adaptive filtering is presented in Table1 . From the table it can be concluded that the adaptive filter can be used as a powerful signal decomposer (analyser).... ..."

### Table 2: Filter systems categorized by adaptation mode.

1995

"... In PAGE 12: ... The lter is trained from examples given by the user. Table2 shows the 11 systems. NewsWeeder and Browse are basically trained systems but NewsWeeder is open for collaborative ltering and Browse al- lows the user to place queries.... ..."

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