搜索资源列表
MM3
- 对数据中出现的情况分为三类进行匹配，正常，不正常，和未知，对不正常的数据进一步分析- -data on the case are divided into three types matching, normal, abnormal, and unknown, not normal for further analysis of the data -
ecganalysis
- 这是一个用于估计ECG信号的频率变化，区分正常和异常ECG信号的原程序，-This is an ECG signal used to estimate the frequency of changes in the distinction between normal and abnormal ECG signals in the original program,
detection-matlab
- eeg detection whether normal or abnormal
zhengchangxinyin
- 基于matlab心音信号处理，正常异常心音的波形图绘制-Matlab signal processing based on heart sounds, abnormal heart sounds normal waveform drawing
PCAxmeas_fault1
- 主元分析方法（PCA）是一种基于多元统计分析的数据降维方法, 它利用过程变量间的相关关系, 建立正常工况下的主元模型, 通过检验新的数据样本相对于主元模型的背离程度, 从而发现异常和故障。 -Principal Component Analysis (PCA) is based on multivariate statistical analysis of the data reduction method, which uses the correlation between process
Smscorrelation
- 线性相关 求逐月异常序列x(n,12)和y(n,12)(n是年)的相关系数r(24)，其中j=1～12是1～12个月的情形，13～22是冬、春、夏、秋、冬季逐月、春季逐月、夏季逐月、秋季逐月、逐月、年、冬半年逐月（NDJFMA）、夏半年逐月（MJJASO）的序列的情形。-Linearly related to demand monthly abnormal sequence x (n, 12) and y (n, 12) (n is the year) the correlation coe
Sllyear
- 线性相关 求逐月异常序列x(n,12)和y(n,12)(n是年)相同月份之间的滞后超前nt年的相关系数rt(-nt:nt,12)，其中nt最大的滞后或超前时间（单位：年）。 -Linearly related to demand monthly abnormal sequence x (n, 12) and y (n, 12) (n is the year) ahead of the same month lag between the years of the correlation
xiyangcan-cha5-8
- 本程序是以北京西洋参路口数据为例，采集一天24H数据，并对异常交通数据做识别、修复处理，用结合减法聚类和模糊聚类算法对路口数据实现自动划分-This procedure is based on data of Beijing Ginseng junctions, 24H data collection day, and do identify abnormal traffic data, repair treatment, with a combination of subtractive cl
AbnormalsignalDetectbasedonmatlab
- 分段异常信号实验，几个不同频率的信号叠加用HHT方法进行分解，是我做实验用的信号，验证无误，-Abnormal signal sub-experiment, several different frequency signal superimposed with the HHT method of decomposition, I did experiment with the signal, verify the correct
iHMM-Matlab_v0[1].5
- 无限状态隐马尔可夫模型(IHMM)采样与推理算法程序,可用于模式识别,视频异常事件检测等,开发平台了最新的MATLAB2009-Infinite state Hidden Markov Model (IHMM) sampling procedures and the reasoning algorithm can be used for pattern recognition, video detection of abnormal events such as the development
zj
- 球体重力异常曲线正演，加噪音后异常曲线，最小二乘反演-Gravity anomaly curve ball forward, plus the noise of abnormal curve, least-squares inversion
Origin
- ORIGN提出异常数据，可以根据需要进行异常数据的剔除-ORIGN proposed abnormal data, can eliminate the need for abnormal data
Abnormal-height-fitting
- 对含有粗差的高程异常值进行丹麦法抗差估计 并绘制结果图-Containing gross errors of the Danish Act height anomaly values and plot the results of robust estimation map
toolbox_fast_marching
- The method mainly consists in considering a reference normal ECG segment and input ECG (unknown behavior) segment. Each segment of the input ECG T is compared to the reference segment using SEA. The SEA method outputs a measure in the range [0.
cepstrum-analysis-project-work
- analysis of ecg using cepstrum technique.......contains analysis of a normal ecg and 3 abnormal ecg
yuanzhuti_zhangpeng_62090105
- 简单条件下规则二度体重力异常的正演计算-圆柱体-Simple conditions under the rules of the second abnormal weight force of the forward calculation- cylinder
outlier
- 对于数据组中的样本，进行异常样品剔除的方法。-For the sample data set, a method for removing abnormal samples.
mahalanob
- 对于数据组中的样本，进行异常样本剔除的方法。-For the sample data set, a method for removing abnormal samples.
hadi
- 对于y样本较多数组中的样本，进行异常样本的剔除。-For larger samples in the array y samples for abnormal samples removed.
PLStest
- 偏最小二乘（PLS）算法建模，并提供一个实例分析，提供异常过程监控Q统计量和T统计量。检测出故障。-Partial Least Squares (PLS) algorithm modeling, and provides a case study to provide process monitoring abnormal Q statistic and T statistics. To detect the fault.