Search - volterra

Search - volterra - List

[Other resource] Volterra DL : 0: 基于Cholesky分解的混沌时间序列Volterra预测-based on the Cholesky decomposition Volterra chaotic time series prediction
Date : 2008-10-13 Size : 83.53kb User : 四度
[Other resource] Volterra DL : 1: 37724108Volterra-Matlab混沌时间序列的Volterra一步预测的Matlab程序
Date : 2008-10-13 Size : 15.12kb User : 朱文俊
[Other] Volterra-filterforecast DL : 0: Volterra滤波器混沌时间序列多步预测，预测效果好
Date : 2008-10-13 Size : 1.07kb User : lili
[AI-NN-PR] Volterraprediction DL : 1: 小数据量法求混沌吸引子最大Lyapunov指数的Matlab程序，参考文献：张家树.混沌时间序列的Volterra自适应预测.物理学报.2000.03-small data method for chaotic attractor largest Lyapunov exponent of Matlab procedures References : Zhang Shu. The chaotic time series Volterra adaptive prediction. Physics reported .2000.03
Date : 2025-07-03 Size : 8kb User : 江维
[AI-NN-PR] Volterraprediction1 DL : 0: 混沌时间序列的Volterra一步预测的Matlab程序-chaotic time series forecast Volterra step procedure Matlab
Date : 2025-07-03 Size : 8kb User : 江维
[matlab] Volterra_hwg DL : 0: 在MATLAB上实现混沌时间序列的Volterra预测算法-in MATLAB achieve chaotic time series prediction algorithm Volterra
Date : 2025-07-03 Size : 13kb User : 胡维刚
[AI-NN-PR] Volterra_luzhenbo DL : 0: Volterra自适应预测的 matlab 程序,用于自适应预测测试和混沌序列的相空间重构（转）-Volterra adaptive prediction Matlab procedures for testing and adaptive prediction chaotic sequence of phase space Reconstruction (switch)
Date : 2025-07-03 Size : 212kb User : 高飞
[matlab] Volterra_MultiStepPred_luzhenbo DL : 0: 基于Volterra滤波器混沌时间序列多步预测作者：陆振波，海军工程大学欢迎同行来信交流与合作，更多文章与程序下载请访问我的个人主页电子邮件：luzhenbo@sina.com 个人主页：luzhenbo.88uu.com.cn 参考文献： 1、张家树.混沌时间序列的Volterra自适应预测.物理学报.2000.03 2、Scott C.Douglas, Teresa H.-Y. Meng, Normalized Data Nonlinearities for LMS Adaptation. IEEE Trans.Sign.Proc. Vol.42 1994 文件说明： 1、original_MultiStepPred_main.m 程序主文件,直接运行此文件即可 2、original_train.m 训练函数 3、original_test.m 测试函数 4、LorenzData.dll 产生Lorenz离散序列 5、normalize_1.m 归一化 6、PhaSpaRecon.m 相空间重构 7、PhaSpa2VoltCoef.dll 构造 Volterra 自适应 FIR 滤波器的输入信号矢量 Un 8、TrainTestSample_2.m 将特征矩阵前 train_num 个为训练样本，其余为测试样本 9、FIR_NLMS.dll NLMS自适应算法-based Volterra filters chaotic time series multi-step forecast Author : bo, the Navy Engineering from the University of peer welcome exchanges and cooperation, more and download articles please visit my personal web page e-mail : luzhenbo@sina.com WEBSITE : luzhenbo.88uu.com.cn References : 1, and Zhang Shu. the chaotic time series Volterra adaptive prediction. physics reported .2000.03 2, Scott C. Douglas, H.-Y. Teresa Meng, Normalized Data for LMS Adaptation Nonlinearities. IEEE Trans.Sign.Proc . Timing 1994 document : 1, original_MultiStepPred_main.m procedures master file directly run this document can be 2, 3 original_train.m training function, the function tests original_test.m 4, LorenzData.dll have Lorenz five discrete sequence, a normalize_1.m naturalization of six, PhaSpaRecon.m
Date : 2025-07-03 Size : 11kb User : 陆振波
[Algorithm] 3order_RLS1 DL : 2: 最小二乘递推算法RLS，利用递推最小二乘法计算Volterra级数的核-recursive least squares algorithm RLS using recursive least squares method Volterra series of nuclear
Date : 2025-07-03 Size : 2kb User : 辛号
[Software Engineering] Volterra DL : 0: 基于Cholesky分解的混沌时间序列Volterra预测-based on the Cholesky decomposition Volterra chaotic time series prediction
Date : 2025-07-03 Size : 83kb User : 四度
[matlab] Prediction_Volterra DL : 0: 混沌时间序列预测(chaotic time series prediction)中的Volterra级数一步预测、Volterra级数多步预测方法-Prediction of chaotic time series (chaotic time series prediction) in the prediction step Volterra series, Volterra series multi-step prediction method
Date : 2025-07-03 Size : 12kb User : 李洁
[matlab] Volterra DL : 0: 37724108Volterra-Matlab混沌时间序列的Volterra一步预测的Matlab程序-37724108Volterra-Matlab chaotic time series prediction Volterra step of Matlab procedures
Date : 2025-07-03 Size : 15kb User : 朱文俊
[Communication-Mobile] A_sparse_Volterra_filter_with_application_to_nonli DL : 0: 用于混沌时间序列自适应预测的一种稀疏Volterra滤波器-For chaotic time series prediction of a sparse adaptive Volterra filter
Date : 2025-07-03 Size : 54kb User : 研间会
[matlab] nonlinertest DL : 0: this the function of Constructing Volterra filter,which is used for nonliner distortion test.It is a Matlab files.-this is the function of Constructing Volterra filter,which is used for nonliner distortion test.It is a Matlab files.
Date : 2025-07-03 Size : 5kb User : GB
[matlab] VolterraRls DL : 1: 应用LMS算法对Volterra级数预报，结果收敛，效果很好-Application of LMS algorithm Volterra series prediction, the results of convergence, good results
Date : 2025-07-03 Size : 4kb User : 王磊
[Other] HASO DL : 0: 在高阶谱分析工具箱是一个M文件集合实施了多种先进的信号处理算法的频谱估计，polyspectral估计，时频分布计算，并包含许多实际应用如时延估计，谐波恢复，参数估计的Volterra（非线性）模型，以及自适应线性预测。其他潜在的应用包括音响，生物医学，经济学，地震勘探，无损检测，海洋学，等离子体物理，雷达，声纳，语音等-The Higher-Order Spectral Analysis Toolbox is a collection of M-files that implement a variety of advanced signal processing algorithms for spectral estimation, polyspectral estimation, and computation of time-frequency distributions, with applications such as time delay estimation, harmonic retrieval, parameter estimation of Volterra (nonlinear) models, and adaptive linear prediction. Other potential applications include acoustics, biomedicine, econometrics, exploration seismology, nondestructive testing, oceanography, plasma physics, radar, sonar, speech etc.
Date : 2025-07-03 Size : 2.75mb User : chenpan
[Documents] Volterra DL : 0: 数值解的方法解释“战争使捕鱼量下降，食用鱼增加，鲨鱼等也随之增加，但鲨鱼的比例却大幅增加”这一现象。-Numerical interpretation of the " war to the decline of fishing, increased consumption of fish, sharks, also increased, but the proportion of sharks has increased substantially," the phenomenon.
Date : 2025-07-03 Size : 201kb User : 阿飞
[matlab] v26-45 DL : 0: paper on Volterra Filtering Techniques for Removal of Gaussian and Mixed Gaussian-Impulse Noise
Date : 2025-07-03 Size : 874kb User : naeem
[matlab] vol_nonlinear DL : 0: 在matlab中利用Volterra非线形滤波器进行系统辨识，并带有一个应用示例。代码带有详细注释。-In the matlab filter using Volterra non-linear system identification, and with an application example. Code with detailed comments.
Date : 2025-07-03 Size : 3kb User : bigbigtom
[matlab] Volterra DL : 0: 使用“改进的欧拉公式”和“4阶龙格-库塔公式”分别对Volterra方程求解，绘制解曲线、相轨线，并将结果进行比较。-Using the " improved Euler formula" and " 4-order Runge- Kutta formulas," respectively, Volterra equations, draw solution curves, phase trajectories, and the results were compared.
Date : 2025-07-03 Size : 67kb User : 袁骏杰

« 12 3 4 5 6 7 »