搜索资源列表
DCCA
- 多重分形去趋势交叉相关性分析，分析时间序列，如股市变动价格，PM2.5数据，外币汇率等(Multifractal detrending cross correlation analysis and analysis of time series, such as stock market variable price, PM2.5 data, foreign currency exchange rate, etc.)
load
- 广义互相关时延估计算法和最大互相关系数的取值(The value of generalized cross correlation time delay estimation algorithm and maximum correlation number)
互相关测试程序
- 互相关分析，确定两个时间序列之间的相关程度，即描述随机信号x(t),y(t)在任意两个不同时刻t1，t2的取值之间的相关程度。(Cross correlation analysis)
yai_fd05
- 包括广义互相关函数GCC时延估计，该函数用来计算任意函数的一阶偏导数(数值方法),基于matlab GUI界面设计。( Including the generalized cross-correlation function GCC time delay estimation, This function is used to calculate the arbitrary function of the first order partial derivative (numerical met
dmbie
- 包括广义互相关函数GCC时延估计，包括单边带、双边带、载波抑制及四倍频,雅克比迭代求解线性方程组课设。( Including the generalized cross-correlation function GCC time delay estimation, Including single sideband, double sideband, suppressed carrier and quadruple, Jacobi iteration for solving linear equ
kk764
- 包括广义互相关函数GCC时延估计，含噪脉冲信号进行相关检测,阐述了负荷预测的应用研究。( Including the generalized cross-correlation function GCC time delay estimation, Noisy pulse correlation detection signal, It describes the application of load forecasting.)
ky058
- 通过反复训练模板能有较高的识别率，ICA（主分量分析）算法和程序，包括广义互相关函数GCC时延估计。( Through repeated training TegCJHclate have higher recognition rate, ICA (Principal Component Analysis) algorithm and procedures, Including the generalized cross-correlation function GCC time delay e
swvcp
- 通过matlab代码，能量熵的计算，包括广义互相关函数GCC时延估计。( By matlab code, Energy entropy calculation, Including the generalized cross-correlation function GCC time delay estimation.)
qqxgn
- 分析了该信号的时域、频域、倒谱，循环谱等,包括广义互相关函数GCC时延估计，这个有中文注释，看得明白。( Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Including the generalized cross-correlation function GCC time delay estimation, The Chinese have a comment, und
MF-DCCA-333
- 多重分形去趋势交叉相关系数多重分形去趋势波动分析，用于不同时间序列的重分形交叉相关性分析(Multifractal Detrending Cross Correlation Coefficient Multifractal Detrending Fluctuation Analysis for Multifractal Cross Correlation Analysis of Different Time Series)
多重分形去趋势波动分析模型
- 用于不同时间序列的重分形交叉相关性分析的多重分形去趋势交叉相关模型，整合了多重分形去趋势交叉相关系数于其中(A multifractal de-trend cross-correlation model for multifractal cross-correlation analysis of different time series is proposed, in which multifractal de-trend cross-correlation coefficients are
MF－DXA
- 去趋势互相关分析（dcca）相关代码，包括dcca,df-dxa等，希望对大家有用处！(To trend cross correlation analysis (dcca) related code, including dcca,df-dxa, hope to be useful to everyone!)
DF-MAX_DCCA
- 多重分形去趋势交叉相关性分析DCCA,以及MF-DXA等程序代码，希望对大家有帮助(Multifractal cross correlation analysis of DCCA, and program code such as mm-dxa, hope to be helpful)
浅论软正交矢量型LIA在MATLAB下的实现
- 实现软正交矢量型LIA法，本文利用互相关算法，在 MATLAB 环境下完成了软正交矢量型 LIA 相关器的仿真实现，并针对不同的噪声信号情况进行了验证与讨论。利用软正交矢量型 LIA 可以实现噪声干扰很大的情况下的微弱信号检测，并具备节约硬件成本、抗干扰能力强等诸多优点，在诸如薄板缺陷检测等方面有广阔的应用价值。(Soft orthogonal vector LIA method is realized. In this paper, the soft orthogonal vector LIA
NCC-FFT
- 结合积分图及快速傅里叶计算归一化互相关，减少计算时间(Combining Integral Graph and Fast Fourier Method to Calculate Cross-correlation)
多重分形去趋势交叉相关性方法
- 含时间序列的多重分形交叉相关性分析，非对称交叉相关性分析等程序，可用于论文写作、科研等方面(The programs of multifractal cross-correlation analysis and asymmetric cross-correlation analysis with time series can be used in paper writing and scientific research)
未命名文件夹
- 互相关性检验，Podobnik et al.(2009)提出的互相关统计量；MF-DCCA(Cross correlation test, cross-correlation statistics proposed by podobnik et al. (2009); MF-DCCA)
-扩频通信实验f
- 产生m序列 画出其自相关函数和功率谱密度曲线 利用m序列模二产生gold序列 计算gold序列的互相关函数(Generating M-series Draw the autocorrelation function and power spectral density curve Generating gold sequence by m-sequence module two Calculating the cross correlation function of gold seque
Gold
- MATLAB代码生成Gold码、m序列并得到自相关、互相关函数。之后进行BPSK调制，验证扩频通信的错码率的降低。(Gold code and m sequence are generated and autocorrelation and cross-correlation functions are obtained. Then BPSK modulation is carried out to verify the reduction of error rate of spread spe
代码
- 基于MATLAB编程实现m序列、gold序列、kasami小集序列，并分析各自的自相关，互相关性能。(Based on MATLAB programming, m-sequence, gold sequence and Kasami small set sequence are realized, and their autocorrelation and cross-correlation performance are analyzed.)