outlift.dat

将提升小波用于目标跟踪。 小波提升的核心就是更新算法和预测算法,通过预测算法可以得到高频信息,而通过更新算子可以得到正确的低频信息.提升样式可以实现原位计算和整数提升,并且变换的中间结果是交织排列的

  31     -3.643   1.657000    5.80950    0.03000
  32      3.135  -0.729750    4.33825   -1.80650
  33      2.454  -0.532375    5.02075    0.66425
  34      2.127   0.200125    4.88325    1.55913
  35      5.274   0.861219    4.30934    1.84306
  36      3.034   1.464641    3.72105    3.55853
  37      4.807   1.974500    3.27919    3.29627
  38     -3.916   2.313555    2.97892    4.05163
  39      1.848   2.471115    2.73865    0.06782
  40      4.662   2.509377    2.49091    0.95791
  41      1.691   2.516684    2.22075    2.80995
  42      3.821   2.563817    1.95363    2.25048
  43      0.439   2.682875    1.73878    3.03574
  44      1.134   2.867537    1.61892    1.73737
  45     -0.099   3.086240    1.61689    1.43568
  46     -0.179   3.299016    1.70023    0.66834
  47     -0.573   3.471073    1.80747    0.24467
  48      1.245   3.579972    1.89911   -0.16416
  49     -3.980   3.616701    1.96432    0.54042
  50      0.519   3.582985    2.01455   -1.71979
  51     -0.260   3.487473    2.05815   -0.60040
  52     -2.553   3.342601    2.09076   -0.43020
  53      0.806   3.162720    2.09620   -1.49160
  54      1.769   2.963118    2.05519   -0.34280
  55      1.251   2.759105    1.95373    0.71310
  56      2.977   2.564759    1.79553    0.98205
  57     -0.213   2.391488    1.58258    1.97953
  58      1.334   2.246947    1.32262    0.88326
  59      4.345   2.134697    1.03477    1.10863
  60     -0.042   2.054601    0.73603    2.72682
  61      6.310   2.003647    0.44616    1.34241
  62      0.469   1.976781    0.19430    3.82620
  63      2.306   1.967541    0.01086    2.14760
  64      1.163   1.968485   -0.07796    2.22680
  65      5.154   1.971565   -0.06868    1.69490
  66      4.360   1.968533    0.02038    3.42445
  67      7.252   1.951473    0.17288    3.89223
  68      4.328   1.913419    0.36796    5.57211
  69      1.216   1.849021    0.59872    4.95006
  70      6.630   1.755161    0.85581    3.08303
  71      6.812   1.631495    1.12139    4.85651
  72      3.823   1.480869    1.37026    5.83426
  73      4.437   1.309445    1.59257    4.82863
  74     -1.446   1.126358    1.79855    4.63281
  75      0.688   0.942834    2.01833    1.59341
  76      1.694   0.770904    2.27746    1.14070
  77      5.331   0.622017    2.56716    1.41735
  78      5.053   0.505867    2.86620    3.37418
  79      0.490   0.429581    3.16531    4.21359
  80      2.921   0.397260    3.45837    2.35179
  81      2.683   0.409808    3.73449    2.63640
  82      2.527   0.465127    3.95648    2.65970
  83      3.228   0.558770    4.07473    2.59335
  84      6.188   0.685047    4.05814    2.91067
  85      2.120   0.838255    3.92363    4.54934
  86      1.945   1.013580    3.72978    3.33467
  87      8.262   1.207446    3.52944    2.63983
  88      1.012   1.417348    3.35145    5.45092
  89      6.679   1.641397    3.20456    3.23146
  90      0.189   1.877657    3.08633    4.95523
  91      4.349   2.123290    2.99317    2.57211
  92      1.830   2.373597    2.93593    3.46056
  93      2.989   2.621348    2.92289    2.64528
  94      4.717   2.856923    2.94487    2.81714
  95      6.155   3.069488    3.00270    3.76707
  96      3.182   3.248860    3.09114    4.96103
  97      1.478   3.387406    3.20696    4.07152
  98      3.178   3.481319    3.33130    2.77476
  99      5.354   3.530965    3.44117    2.97638
 100      3.004   3.540441    3.51531    4.16519
 101      3.633   3.516677    3.54179    3.58459
 102      2.667   3.468378    3.52815    3.60880
 103      3.553   3.404999    3.50438    3.13790
 104      3.677   3.335867    3.49888    3.34545
 105      5.732   3.269514    3.51434    3.51122
 106      1.853   3.213162    3.53484    4.62161
 107      4.618   3.172298    3.55141    3.23731
 108      3.907   3.150258    3.56298    3.92765
 109      2.991   3.147912    3.57145    3.91733
 110      1.689   3.163596    3.57487    3.45416
 111      3.220   3.193506    3.57009    2.57158
 112      1.864   3.232598    3.55719    2.89579
 113      5.299   3.275760    3.54822    2.37990
 114      3.875   3.318795    3.54971    3.83945
 115      5.128   3.358913    3.56289    3.85722
 116      7.603   3.394706    3.58659    4.49261
 117      5.527   3.425820    3.61503    6.04781
 118      4.019   3.452514    3.63305    5.78740
 119      3.352   3.475274    3.62613    4.90320
 120      2.206   3.494522    3.58424    4.12760
 121      0.550   3.510510    3.51609    3.16680
 122      3.647   3.523387    3.44415    1.85840
 123      5.578   3.533380    3.39585    2.75270
 124      5.428   3.540963    3.40382    4.16535
 125      4.362   3.546924    3.49102    4.79668
 126      9.206   3.552244    3.65334    4.57934
 127      9.404   3.557790    3.85799    6.89267
 128      9.222   3.563894    4.05436    8.14833
 129     10.300   3.570030    4.18630    8.68517
 130     10.280   3.574795    4.22042    9.49258
 131     11.278   3.576317    4.16668    9.88629
 132     10.062   3.573051    4.06928   10.58215
 133     11.449   3.564746    3.97726   10.32207
 134     14.589   3.553224    3.94154   10.88554
 135     13.807   3.542563    4.01036   12.73727
 136     14.142   3.538433    4.21549   13.27213
 137     14.938   3.546627    4.56566   13.70707
 138     13.577   3.571201    5.04648   14.32253
 139     13.837   3.612921    5.62918   13.94977
 140     15.836   3.668704    6.27386   13.89338
 141     17.443   3.732361    6.93994   14.86469
 142     18.411   3.796414    7.60646   16.15385
 143     19.189   3.854464    8.27128   17.28242
 144     20.304   3.903421    8.93863   18.23571
 145     20.789   3.945018    9.61103   19.26986
 146     20.595   3.986203   10.27957   20.02943
 147     20.141   4.038342   10.92392   20.31221
 148     22.299   4.115433   11.52741   20.22661
 149     24.873   4.231773   12.09127   21.26280
 150     25.037   4.399637   12.63535   23.06790
 151     24.235   4.627546   13.18795   24.05245
 152     25.377   4.919490   13.77548   24.14373
 153     27.305   5.275087   14.41428   24.76036
 154     28.250   5.690413   15.10429   26.03268
 155     27.717   6.159034   15.82666   27.14134
 156     28.725   6.672887   16.55760   27.42917
 157     29.993   7.222932   17.28830   28.07709
 158     31.302   7.799715   18.02630   29.03504
 159     32.814   8.394055   18.77900   30.16852
 160     34.104   8.997893   19.54527   31.49126
 161     33.023   9.605197   20.32187   32.79763
 162     34.383  10.212618   21.10961   32.91032
 163     34.726  10.819645   21.90781   33.64666
 164     35.689  11.428118   22.71130   34.18633
 165     36.591  12.041257   23.51429   34.93766
 166     35.920  12.662608   24.31596   35.76433
 167     37.361  13.295255   25.12364   35.84217
 168     37.416  13.941427   25.95113   36.60158
 169     37.974  14.602448   26.80481   37.00879
 170     37.615  15.278863   27.67940   37.49140
 171     38.608  15.970657   28.56086   37.55320
 172     36.727  16.677431   29.43359   38.08060
 173     38.201  17.398514   30.28681   37.40380
 174     38.843  18.132994   31.11113   37.80240
 175     37.631  18.879754   31.89976   38.32270
 176     37.919  19.637610   32.64876   37.97685
 177     37.543  20.405554   33.35679   37.94792
 178     38.016  21.183009   34.02156   37.74546
 179     37.155  21.969910   34.64145   37.88073
 180     36.906  22.766533   35.20892   37.51787