Conjugate-Gradient-Method(matlab)

操作数值积分的类 CIntegral 的实现代码(Operation of numerical integration code for the class implementation of CIntegral)

瑞历信道下误码率估计的盟特卡罗仿真，GUI显示，方便高效(Switzerland calendar channel bit error rate estimated UNITA Carlo simulation, GUI, facilitate efficient)

工程中有效测量幅相转换系数方法分析,非常好，公式齐全，推理明确(Effective measurement of phase conversion coefficient method in Effective measurement of phase conversion coefficient method in engineering analysis engineering analysis, is very good, complete formula, reasoning clear )

高精度地形数据处理，位错测量与回复，误差分析(High precision terrain data processing; Displacement measurement and recovery; Error analysis)

单纯型算法和最速下降法的综合算法，能很快的搜索到最小值。(Simplex algorithm and steepest descent method of synthesis algorithms to quickly search the minimum.)

超全的模式识别matlab程序，欢迎下载(Pattern recognition matlab)

粒子滤波源代码，适合各种非线性参数估计，和智能算法(Particle filter source code for various nonlinear parameter estimation, and intelligent algorithm)

This code demomstrates an improved algorithm based on the local binary fitting (LBF) model in Chunming Li et al s paper: "Minimization of Region-Scalable Fitting Energy for Image Segmentation", IEEE Trans. Image Processing, vol. 17 (10), pp.1940-1949, 2008. Usage: These codes can be used for Matlab 7.0.4 or higher versions in Windows. Run the Demos in the M-files for several test images. Once an image comes out, click the mouse to generate a polygon as the initial contour: left click to get a number of points, then right click to get the end point. The number of iterations may need to be increased if the initial contour is too far away from the desired object boundary.

Unscented Kalman Filter (UKF) exemplified on FitzHugh-Nagumo neuron dynamics. Voltage observed, currents and inputs estimated. FitzHughNagumo.m is the main program which calls the other programs. If you use these programs for your publications etc., please refer to H.U. Voss, J. Timmer & J. Kurths, Nonlinear dynamical system identification from uncertain and indirect measurements, Int. J. Bifurcation and Chaos 14, 1905-1933 (2004). I will be happy to email this paper, which contains a tutorial about estimation of hidden states and unscented Kalman filtering. For commercial use and questions, please contact me.

用FFT分析离散时间周期信号的频谱实例，利用FFT分析离散时间周期信号的频谱，通过实验理解分辨率的概念和栅栏效应。(With a the FFT analysis the the frequency spectrum instance of of the discrete-time periodic signal, the use of the FFT analysis the the frequency spectrum of the discrete-time periodic signal, through the experiment understanding of the the the concepts and the picket fence effect of of the resolution.)