zuiduanlu

说明：  matlab 实现的全景图像拼接，希望对大家能有所帮助(matlab implementation of the panoramic image mosaic, we want to help)

小波神经网络诊断源程序,实现小波神经网络的matlab仿真.(Wavelet neural network the diagnosis of source program, the realization of the simulation of MATLAB wavelet neural network )

QAM constellation with noise and channel(QAM constellation)

optical fiber simulation

说明：  生成有色噪声，并显示噪声功率谱。这该死的20个字(Generating colored noise)

拉格朗日插值多项式拟合,牛顿插值多项式,欧拉方程解偏微分方程,使用极限微分求解导数（微分）,微分方程组的N=4龙格库塔解法,雅可比爹迭代法解方程AX=B,最小二乘多项式拟合,组合辛普生公式求解积分,用三角分解法解方程AX=B(Lagrange interpolation polynomial fitting, polynomial interpolation Newton, Euler equations partial differential equations, Limit the use of derivative solving differential (differential), the equations of N = 4 Runge- Kutta method. Jacobian Davis iterative method of solving equations AX = B, least squares polynomial fitting, portfolio Simpson formula for integration, with a triangular decomposition method of solving equations AX = B. )

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

该算法是根据自适应差分脉冲编码调制原理编写的算法，该算法利用了语音信号样点间的相关性，并针对语音信号的非平稳特点，使用了自适应预测(The algorithm is based on principles of adaptive differential pulse code modulation written algorithm, which samples the voice signal using the correlation between, and for non-stationary characteristics of speech signal using an adaptive prediction)

inds minimum risk soft threshold for noise-free coefficients

matlab code for nlms algorithm