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Volterra_MultiStepPred_luzhenbo
- 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 Nonlineariti
ARMASA_1_7
- 一个非常好的时间序列工具箱，详细使用说明见P. M. T. Broersen, Automatic Spectral Analysis with Time Series Models, IEEE Transactions on Instrumentation and Measurement, Vol. 51, No. 2, April 2002, pp. 211-216. -a very good time series toolbox, detailed descr iption of t
FluidPipelineSimulinkModels
- These Simulink blocks contain transfer functions that model the pressure and flow transients for axisymmetric 2D viscous flow of a compressible fluid in a straight rigid circular cross section pipelines. Three models are available: (1) pressure
coherence_MVDR
- 基于MVDR算法，计算两个信号的相关性的函数。-This program computes the coherence function between 2 signals x1 and x2 with the MVDR method. This algorithm is based on the paper by the same authors: J. Benesty, J. Chen, and Y. Huang, "A generalized MVDR sp
Blind_recognition_STBC
- The zip file contains several matlab files. These files implement the optimal vlassifier (optimal_classifier.m), a sub-optimal classifier (SOS_STBC_Classifier.m) which is based on Second Order Statistic and a low-complexity sub optimal code-p
findlyap
- The alogrithm employed in this toolbox for determining Lyapunov exponents is according to the algorithms proposed in [1] A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 1
TLS
- Descr iption We present a Matlab toolbox which can solve basic problems related to the Total Least Squares (TLS) method in the modeling. By illustrative examples we show how to use the TLS method for solution of: - linear regression model
kmeans
- function [L,C] = kmeans(X,k) KMEANS Cluster multivariate data using the k-means++ algorithm. [L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class label per column in X and a size(X,1)-by-k matrix C containing the centers
Up_timingBYM
- A timing error detector for Communication systems with simulink. # Required versions Matlab 5.2.1, Simulink 2.2.1 # File descr iption 1. ti_det1.m (simulink version 5.2.1) An s-function to be used for timing detector. For detailed i
EX2DVAEL_BergaIf
- 在压缩源激发下，真空-弹性表面的精确二维响应。（Garvin问题） 英文描述中有相关参考文献，对于做波场模拟的同学很有用。-THIS FORTRAN PROGRAM CALCULATES THE EXACT SEISMIC 2D RESPONSE FROM A COMPRESSIONAL POINT SOURCE IN AN ELASTIC HALFSPACE WITH A FREE SURFACE. ALL GREEN S FUNCTIONS ARE CALCULATED AN
fcnFrostFilter
- fcnFrostFilter performs noise filtering on an image based on an adaptive filter proposed by Frost. [1] V. S. Frost, et al., "A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise," IEEE Trans. Pattern
demo1
- This the demo file for L1 adaptive controller with a simple unknown parameter: \dot x(t) = Ax(t) + b(u(t) - \theta^\top x(t)) DoSims.m: This scr ipt initializes the model parameters, run the simulation L1Model_sec1.mdl:the implement
LDP
- This code calculated the LDP histogram and is based on B Zhang, Y Gao, S Zhao & J Liu, "Local Derivative Pattern Versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descr iptor," Image Processing, IEEE Transactions on, vol.19,
bcs_ver0.1
- 用于实现IEEE论文“Bayesian Compressive Sensing”的图2和图4的。(This set of Matlab (7.0) functions contain the core code for generating Fig.2 and Figs.4(a,b) of the following paper:"Bayesian Compressive Sensing" Shihao Ji, Ya Xue, and Lawrence Carin,
numerical_recipes_in_fortran_90
- Numerical Recipes in Fortran 90-The Art of Scientific Computing-Vol 2-Second Edition