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Utils2.java
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Utils2.java
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package inc.yty.afinal.util;
public class Utils2 {
/*函数名*/
/**
* 最小值 min
**/
public static final String FUN_101_MINIMUM_NAME = "min";
public static final int FUN_101_MINIMUM_CODE = 101;
/**
* 最大值 max
**/
public static final String FUN_102_MAXIMUM_NAME = "max";
public static final int FUN_102_MAXIMUM_CODE = 102;
/**
* 方差 variance
**/
public static final String FUN_103_VARIANCE_NAME = "variance";
public static final int FUN_103_VARIANCE_CODE = 103;
/**
* 过均值率 mcr
**/
public static final String FUN_104_MEANCROSSINGSRATE_NAME = "mcr";
public static final int FUN_104_MEANCROSSINGSRATE_CODE = 104;
/**
* 标准差 stddev
**/
public static final String FUN_105_STANDARDDEVIATION_NAME = "stddev";
public static final int FUN_105_STANDARDDEVIATION_CODE = 105;
/**
* 平均值 mean
**/
public static final String FUN_106_MEAN_NAME = "mean";
public static final int FUN_106_MEAN_CODE = 106;
/**
* 向量幅值 mag
**/
public static final String FUN_107_SIGNALVECTORMAGNITUDE_NAME = "mag";
public static final int FUN_107_SIGNALVECTORMAGNITUDE_CODE = 107;
/**
* 四分卫数 1/4 q1
**/
public static final String FUN_108_FIRSTQUARTILE_NAME = "q1";
public static final int FUN_108_FIRSTQUARTILE_CODE = 108;
/**
* 中位数 median
**/
public static final String FUN_109_MEDIAN_NAME = "median";
public static final int FUN_109_MEDIAN_CODE = 109;
/**
* 四分卫数 3/4 q3
**/
public static final String FUN_110_THIRDQUARTILE_NAME = "q3";
public static final int FUN_110_THIRDQUARTILE_CODE = 110;
/**
* 过零率 zcr
**/
public static final String FUN_111_ZEROCROSSINGRATE_NAME = "zcr";
public static final int FUN_111_ZEROCROSSINGRATE_CODE = 111;
/**
* 均方根平均值 rms
**/
public static final String FUN_112_RMS_NAME = "rms";
public static final int FUN_112_RMS_CODE = 112;
/**
* 向量幅值面积 sma
**/
public static final String FUN_113_SMA_NAME = "sma";
public static final int FUN_113_SMA_CODE = 113;
/**
* 四分卫距 iqr
**/
public static final String FUN_114_IQR_NAME = "iqr";
public static final int FUN_114_IQR_CODE = 114;
/**
* 绝对平均差 mad
**/
public static final String FUN_115_MAD_NAME = "mad";
public static final int FUN_115_MAD_CODE = 115;
/**
* 时域 能量 tenergy
**/
public static final String FUN_116_TENERGY_NAME = "tenergy";
public static final int FUN_116_TENERGY_CODE = 116;
/**
* spp最大值的位置 谱峰位置
**/
public static final String FUN_201_SPP_NAME = "spp";
public static final int FUN_201_SPP_CODE = 201;
/**
* 能量 energy
**/
public static final String FUN_202_ENERGY_NAME = "energy";
public static final int FUN_202_ENERGY_CODE = 202;
/**
* 熵 entropy
**/
public static final String FUN_203_ENTROPY_NAME = "entropy";
public static final int FUN_203_ENTROPY_CODE = 203;
/**
* 质心 centroid
**/
public static final String FUN_204_CENTROID_NAME = "centroid";
public static final int FUN_204_CENTROID_CODE = 204;
/**
* 频域 标准差 fdev
**/
public static final String FUN_205_FDEV_NAME = "fdev";
public static final int FUN_205_FDEV_CODE = 205;
/**
* 频域 平均值 fmean
**/
public static final String FUN_206_FMEAN_NAME = "fmean";
public static final int FUN_206_FMEAN_CODE = 206;
/**
* 频域 偏度 skew
**/
public static final String FUN_207_SKEW_NAME = "skew";
public static final int FUN_207_SKEW_CODE = 207;
/**
* 频域 峰度 kurt
**/
public static final String FUN_208_KURT_NAME = "kurt";
public static final int FUN_208_KURT_CODE = 208;
/*模型类型*/
/**
* accdata 行为模型
**/
public static final String MODELTYPE_ACCDATA = "accdata";
public static final int PAGEOFSIZE = 10;
/**
* 数据转换成特征数组
*
* @param accArr
* @return
*/
public static String[] dataToFeaturesArr(double[] accArr) {
String[] featuresArr = new String[9];
double min = Features.minimum(accArr);
featuresArr[0] = FUN_101_MINIMUM_CODE + ":" + min;
double max = Features.maximum(accArr);
featuresArr[1] = FUN_102_MAXIMUM_CODE + ":" + max;
double var = Features.variance(accArr);
featuresArr[2] = FUN_103_VARIANCE_CODE + ":" + var;
double mcr = Features.meanCrossingsRate(accArr);
featuresArr[3] = FUN_104_MEANCROSSINGSRATE_CODE + ":" + mcr;
double std = Features.standardDeviation(accArr);
featuresArr[4] = FUN_105_STANDARDDEVIATION_CODE + ":" + std;
double mean = Features.mean(accArr);
featuresArr[5] = FUN_106_MEAN_CODE + ":" + mean;
double rms = Features.rms(accArr);
featuresArr[6] = FUN_112_RMS_CODE + ":" + rms;
double iqr = Features.iqr(accArr);
featuresArr[7] = FUN_114_IQR_CODE + ":" + iqr;
double mad = Features.mad(accArr);
featuresArr[8] = FUN_115_MAD_CODE + ":" + mad;
return featuresArr;
}
}