搜索资源列表
MOVING-t-TEST
- FORTRAN语言程序。采用滑动T检验的方法,来检测气候时间序列的突变特征。-THIS IS A PROGRAM FOR DETECTING ABRUPT CLIMATIC CHANGE BY USING MOVING t-TEST TECHNIQUE
CRAMERS-TECHNIQUE
- FORTRAN语言程序。采用CRAMER S 方法来检测气候时间序列的突变特征。-THIS IS A PROGRAM FOR DETECTING ABRUPT CLIMATIC CHANGE BY USING CRAMER S TECHNIQUE
Scspectrum
- 一维时间序列的连续功率谱及各种信度的红白噪音检测-continuous spectrum analysis of an one-dimensional series and 95 confidence upper limit of red or white noise spectrum
apen
- 利用近似熵进行时间序列的变异检测,非常好用-approximate entropy,variation
breakdown_finder
- 计算交通问题中早发性失效开始和结束的时刻、PQMF、PQF和QDF。所需数据是检测线圈提供的流量、速度和占有率的时间序列数据。-Calculation traffic problems in premature failure of the start and end time, PQMF, PQF and QDF. Desired data flow detection coil is provided, speed and share time-series data.
houtan_v19
- LZ复杂度反映的是一个时间序列中,利用最小二乘法进行拟合多元非线性方程,有循环检测,周期性检测。- LZ complexity is reflected in a time sequence, Multivariate least squares fitting method of nonlinear equations, There are cycle detection, periodic testing.
Preamble-detection
- 可实现OFDM电力载波通信的前导序列检测,能进行连续多个前导检测-Can achieve OFDM power carrier communication leading sequence detection, can carry out a number of continuous preamble detection
mk
- 检测序列的变化趋势,也可以进行突变点检验(The change trend of the detection sequence can also be tested by the mutation point)
arima
- arima - (平稳性检验)根据时间序列的散点图、自相关系数和偏自相关系数、单位根检验(ADF),来判断数据的平稳性; - (平稳化处理)对非平稳的时间序列数据进行差分处理,得到差分阶数d; - (白噪声检测)为了验证序列中有用的信息是否已被提取完毕,如果为白噪声序列,(arima arima -(Stableness test) According to the time series of scatter plots, autocorrelation coefficients and