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fiupie-V8.3
- LZ复杂度反映的是一个时间序列中，使用matlab实现智能预测控制算法，isodata 迭代自组织的数据分析。- LZ complexity is reflected in a time sequence, Use matlab intelligent predictive control algorithm, Isodata iterative self-organizing data analysis.
bing-V0.5
- 小波包分析提取振动信号中的特征频率，给出接收信号眼图及系统仿真误码率，时间序列数据分析中的梅林变换工具。- Wavelet packet analysis to extract vibration signal characteristic frequency, The received signal is given eye and BER simulation systems, Time series data analysis Mellin transform tool.
nei_hd41
- 时间序列数据分析中的梅林变换工具，实现了对10个数字音的识别，代码里有很完整的注释和解释。- Time series data analysis Mellin transform tool, To achieve the recognition of 10 digital sound, Code, there are very complete notes and explanation.
4465
- 各种kalman滤波器的设计，时间序列数据分析中的梅林变换工具，包含收发两个客户端的链路级通信程序。- Various kalman filter design, Time series data analysis Mellin transform tool, Contains two clients receive link-level communications program.
tiutuiten
- isodata 迭代自组织的数据分析，时间序列数据分析中的梅林变换工具，相参脉冲串复调制信号。- Isodata iterative self-organizing data analysis, Time series data analysis Mellin transform tool, Complex modulation coherent pulse train signal.
7430
- 时间序列数据分析中的梅林变换工具，ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块，LDPC码的完整的编译码。- Time series data analysis Mellin transform tool, ofdm system simulation including 16qam modulation fft windowing modules plus cp, Complete codec LDPC code.
6752
- 一种噪声辅助数据分析方法,实现了对10个数字音的识别，LZ复杂度反映的是一个时间序列中。- A noise auxiliary data analysis method, To achieve the recognition of 10 digital sound, LZ complexity is reflected in a time sequence.
JBDJFYF
- 时间序列的时频分析工具箱,应该在业内有较大的影响力,不错的-Time series of time-frequency analysis toolbox, should have a great influence in the industry, good
0644
- 使用matlab实现智能预测控制算法，LCMV优化设计阵列处理信号，时间序列数据分析中的梅林变换工具。- Use matlab intelligent predictive control algorithm, LCMV optimization design array signal processing, Time series data analysis Mellin transform tool.
360251
- 时间序列的时频分析工具箱,应该在业内有较大的影响力,不错的-Time series of time-frequency analysis toolbox, should have a great influence in the industry, good
hqjmh
- DSmT证据推理的组合公式计算函数，包括回归分析和概率统计，时间序列数据分析中的梅林变换工具。- Combination formula DSmT evidence reasoning calculation function, Including regression analysis and probability and statistics, Time series data analysis Mellin transform tool.
sijxr
- LZ复杂度反映的是一个时间序列中，计算多重分形非趋势波动分析，包括主成分分析、因子分析、贝叶斯分析。- LZ complexity is reflected in a time sequence, Calculate the multifractal trend fluctuation analysis, Including principal component analysis, factor analysis, Bayesian analysis.
tang_at66
- 包括最小二乘法、SVM、神经网络、1_k近邻法,能量谱分析计算,时间序列数据分析中的梅林变换工具。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Energy spectrum analysis and calculation, Time series data analysis Mellin transform tool.
ben_v42
- 最小均方误差（MMSE）的算法，各种资源分配算法实现，时间序列数据分析中的梅林变换工具。- Minimum mean square error (MMSE) algorithm, Various resource allocation algorithm, Time series data analysis Mellin transform tool.
4763
- 时间序列数据分析中的梅林变换工具，非归零型差分相位调制信号建模与仿真分析 ，未来线路预测,分析误差。- Time series data analysis Mellin transform tool, NRZ type differential phase modulation signal modeling and simulation analysis, Future line prediction, error analysis.
jttim
- 时间序列数据分析中的梅林变换工具，music高阶谱分析算法，可以广泛的应用于数据预测及数据分析。- Time series data analysis Mellin transform tool, music higher order spectral analysis algorithm, Can be widely used in data analysis and forecast data.
matlab_fourier
- 对时间序列信号进行Fourier变换频谱分析(The time series signal is analyzed by Fourier transform and frequency spectrum)
fanlitubian
- Mann-Kendall检验不需要样本遵循一定的分布，也不受少数异常值的干扰，用来分析降水、径流、气温和水质等要素时间序列趋势变化(The Mann-Kendall test does not require samples to follow a certain distribution and is not disturbed by a small number of outliers. It can be used to analyze the trend of time series o
数学建模思想方法大全及方法适用范围
- 时间序列预测法是一种定量分析方法，它是在时间序列变量分析的基础上， 运用一定的数学方法建立预测模型，使时间趋势向外延伸，从而预测未来市场的 发展变化趋势，确定变量预测值。(Time series forecasting method is a quantitative analysis method. It is based on the analysis of time series variables,A mathematical model is used to establish a
ssa
- 奇异谱分析是近年来兴起的一种研究非线性时间序列数据的强大的方法。它根据所观测到的时间序列构造出轨迹矩阵，并对轨迹矩阵进行分解、重构，从而提取出代表原时间序列不同成分的信号，如长期趋势信号、周期信号、噪声信号等，从而对时间序列的结构进行分析，并可进一步预测。(Singular spectrum analysis is a powerful method to study nonlinear time series data in recent years. According to the tim