蚁群算法学习

用粒子群优化算法（PSO）求peaks函数的极值(Particle swarm optimization (PSO) seeking the extreme peaks function)

该文件包含完整的区域分裂合并算法，可用与图像分割(split_merge algorithm)

hierarchical Mesh Segmentation based on Fitting Primitives 配套源码(code for hierarchical Mesh Segmentation based on Fitting Primitives)

Using a progressive intuitive/mathematical approach, this introduction to computer vision provides necessary theory and examples for practitioners who work in fields where significant information must be extracted automatically from images-- including those interested in multimedia, art and design, geographic information systems, and image databases, in addition to the traditional areas of automation, image science, medical imaging, remote sensing and computer cartography. The book provides a basic (Computer Vision- Linda Shapiro.pdf)

Labtest solution hanu fit

Multidomaine radar simulation using matlab

adaptive mimo code in matlab

C-均值动态聚类算法 matlab 很简单对 一组样本点的分类和中心点(C- Means clustering algorithm Matlab is very simple sample of a point and focal point for the classification)

等间距线性阵列，阵元数M=8，阵元间距d= λ /2，等幅加权，目标方位φr =0°。产生空间白噪声矢量（复高斯分布）。 设阵列信号矢量元素s(m)=exp[j mψr]，其信号幅度为1，该阵元接收机附加的高斯噪声为n(m)=nmr+jnmi，其中实虚部均为独立同分布N(0, σ2)的高斯随机数，则该通道合成信号x(m)=s(m) + n(m)，其中信噪比为： SNR = 10 lg[1/(2σ2)] = – 3 – 10 lg(σ2) (dB) (The spacing of the linear array, and the array element number M = 8, the array element spacing d = λ/2, equal amplitude weighted target azimuth φR = 0. Space generated white noise vector (complex Gaussian distribution). Let array signal vector elements s (m) = exp [j mψr], the signal amplitude, the element receiver additional Gaussian noise n (m) = nmr+jnmi which the real and imaginary parts are independent and identically distributed N ( Gaussian random numbers of 0, σ2), the channel the synthesis signal x (m) = s (m) the PPLS n (m), where SNR is: SNR = 10 lg [1/(2σ2)] =- 3- 10 lg (σ2) (dB))

matlab基础入门以及基础应用。全英文版的文档。(matlab user s guide)