### Table 1. Estimated DOAs for the ESPRIT algorithm.

1994

"... In PAGE 4: ... One hundred test runs using n = 30 samples are executed. Table1 lists the statistical results, for three different sets of angles of incidence, and aver- aged over the test runs. As is seen from the table, the difference between the three subspace estimates is neg- ligible if the signals are spatially well separated.... ..."

Cited by 1

### Table 1. Estimated DOAs for the ESPRIT algorithm.

"... In PAGE 4: ... One hundred test runs using n = 30 samples are executed. Table1 lists the statistical results, for three different sets of angles of incidence, and avaraged over the test runs. If the signals are spatially well separated, the difference between the three subspace estimates is negligi- ble.... ..."

### Table 1. Estimated DOAs for the ESPRIT algorithm.

"... In PAGE 4: ... One hundred test runs using n = 30 samples are executed. Table1 lists the statistical results, for three different sets of angles of incidence, and aver- aged over the test runs. As is seen from the table, the difference between the three subspace estimates is neg- ligible if the signals are spatially well separated.... ..."

### Table 5.1: Simulation results for accuracy of DOA estimation

2003

Cited by 5

### Table 5.3: Accuracy of DOA estimation in the auditorium

2003

Cited by 5

### Table A.1: True ( 0) and estimated DOAs for di erent methods.

1993

Cited by 1

### Table A.1: True ( 0) and estimated DOAs for di erent methods.

1993

Cited by 1

### Table 11: DOA Maximum Likelihood Estimation Criteria Matrices are de ned as

### Table 6. Radar Application Definition

1996

"... In PAGE 18: ... Radar 2 Performance Results Figure 20 shows the variation in estimated latency for each mapping of the HOPD algorithm with the Ra- dar 2 radar parameters. As shown in Table6 , the shape of the Radar 2 radar application is different from that of the Radar 1 problem; Radar 2 has many range gates and smaller degrees of freedom, whereas Radar 1 has fewer range gates and larger degrees of freedom. Figure 21 shows a breakdown of latency for each operation in the algorithm.... ..."

Cited by 2

### Table 3. Sources of error in radar rainfall estimates.

"... In PAGE 19: ...xpression for rain rate (N0, 7, and :) can be derived by substituting Eq. 2 into Eq. 3. Factors that contribute to rainfall estimate errors are listed in Table3 . Although polarimetric measurements provide additional information regarding DSD variations, are relatively insensitive to hardware calibration, and provide information on precipitation phase, important error sources remain.... ..."