program

Gaussian_pulse in FDTD

说明：  数字信号处理实例，适合初学者，对数字信号处理的入门，MATLAB实例(Digital signal processing example, suitable for beginners, introduction to digital signal processing, MATLAB examples)

数学实验，聚类分析---用matlab做聚类分析，整个聚类实验的详细步骤，适用于学习算法的初学者(The mathematical experiment: cluster analysis--- do a cluster analysis using matlab)

课程设计的MATLAB编程说明，包括源代码和说明(curriculum design MATLAB programming note, including source code and annotations)

语音信号的盲分离，是一个很好的在没有先验知识的情况下的分离程序！(voice signals in the blind separation is a good in the absence of a priori knowledge of the separation procedure!)

The fusion of images is the process of combining two or more images into a single image retaining important features from each of the images. A scheme for fusion of multi-resolution 2D gray level images based on wavelet transform is presented in this paper. If the images are not already registered, a point-based registration, using affine transformation is performed prior to fusion. The images to be fused are first decomposed into sub images with different frequency and then information fusion is performed using these images under the proposed gradient and relative smoothness criterion. Finally these sub images are reconstructed into the result image with plentiful information. A quantitative measure of the degree of fusion is estimated by cross-correlation coefficient and comparison with some of the existing wavelet transform based image fusion techniques is carried out.

使用matlab识别船行的轨迹和运行效果。(Use matlab find shipping way。)

采用matlab语言编写，对运动中的人像进行跟踪，显示其运动轨迹，并可以计算人像通过特定位置时的时间（帧）(Matlab language to track the movement portrait display its trajectory, and can calculate the time when the portrait through a specific position (frame))

An Uncorrelated Variable Step-size LMS Adaptive Algorithm 1Qi Zhang, 2Yuancheng Yao, 3 Mingwei Qin

1.n个节点分段Lagrange插值多项式； 2.使用格式y=lagrange(x0,y0,x,k)； 3.输入项x0为n维插值节点向量，y0为n维被插函数值向量； 4.x为m维插值点向量，k为分段插值多项式次数，不超过3，缺省为k=1； 5.输出y为插值点x处的函数值；( 1.n a sub-node Lagrange interpolation polynomial 2. The use of the format y = lagrange (x0, y0, x, k) 3. Input x0 of interpolation nodes for the n-dimensional vector, y0 for n-dimensional vector function to be inserted 4.x interpolation points for the m-dimensional vector, k is the number of sub-polynomial interpolation, not more than 3, the default for k = 1 5. output y for the interpolation points x Department of function )