rddata

摘要:计算机动态仿真是混沌应用研究的重要方法"该文介绍了环境下的可视化建模与动态仿真步骤(Abstract: The computer simulation is a chaotic dynamic applied research an important means of )

最新、最全“高阶谱分析工具箱”，包括全部教程和DEMO.(There is much more information in a stochastic non-Gaussian or deterministic signal than is conveyed by its autocorrelation and power spectrum. Higher-order spectra which are defined in terms of the higher-order moments or cumulants of a signal, contain this additional information. The Higher-Order Spectral Analysis (HOSA) Toolbox provides comprehensive higher-order spectral analysis capabilities for signal processing applications. The toolbox is an excellent resource for the advanced researcher and the practicing engineer, as well as the novice student who wants to learn about concepts and algorithms in statistical signal processing. The HOSA Toolbox is a collection of M-files that implement a variety of advanced signal processing algorithms for the estimation of cross- and auto-cumulants (including correlations), spectra and olyspectra,bispectrum, and bicoherence, and omputation of time-frequency distributions. Based on these, algorithms for parametric and non-parametric blin)

使用Matlab编程工具对多元函数的Newton算法的实现(Newton algorithm)

卡尔曼滤波matlab代码，适合初学者，注释详细( Kalman filter matlab code)

主要是对数据做初级滤波和组合分析，其实就是对多路数据做了采集并组合做图(Primary filtering and combination analysis of data)

说明：  利用AR模型实现功率谱估计的方法，包括直接求解，L-D递推，自相关法和Burg算法。(AR model power spectrum estimation methods, including direct solving LD recursive autocorrelation method and Burg algorithm.)

DFT进行频谱分析时的三种现象 1、混叠：对连续信号采样，要求连续信号是带限的，采样频率要足够高。Fs应满足Nyquist采样定理才不产生混叠。 采样前加低通滤波器防混叠 2、频谱泄漏：DFT对时域信号进行了截断（相当于采样信号乘了一个窗函数），时域的乘积相当于频域卷积，改变了原信号频谱。 改用其他窗函数（非矩形）改善泄漏。 3、栅栏现象：DFT 只给出了频谱在采样点上的取值，采样点间的频谱内容丢失。(DFT spectrum analysis of a three phenomena, aliasing : continuous signal sampling, requiring continuous signal is band-limited, the sampling frequency should be high enough. Fs meet the Nyquist Sampling Theorem would not have aliasing. Sampling former low-pass filter plus anti-aliasing 2, spectrum leakage : DFT right time domain signal a disconnect (equivalent to a sampling signal by a window function). time domain is equivalent to the product of frequency-domain convolution, changes in the spectrum of the original signal. Window functions to switch to other (non-rectangular) to improve leakage. 3, fenced phenomenon : DFT spectrum is given only at the sampling point value, sampling points of the spectrum as lost.)

matlab带噪声周期信号的自相关运算代码仿真有图(autocorrelation matlab periodic signal with noise)

Image Enhancement methods, Active Contour Without edges, Manual thresholding codes

this file compute lag arrays