基于 K-means 聚类算法的图像区域分割

本人修改过的elm的matlab算法，该算法比原来的elm的算法在超过3个神经元后的计算速度能明显加快！原理是运用函数产生列矩阵！！ ELM 是一种快速的神经网络算法，本人已经比较过，比很多流行的算法（BP,SVM）都快,而且效果很好，运行环境是matlab，可以测试所有的benchmark的数据(I modified elm of matlab algorithm elm than the original algorithm in more than three neurons after the computing speed can significantly speed up! The principle is to use functions to generate the matrix out! ! ELM is a fast neural network algorithm, I have a comparison, than many popular algorithms (BP, SVM) faster, and the effect of good operating environment is matlab, you can test all of the benchmark data)

本程序为多维面阵的波达方位估计的程序，用于面阵俯仰角方位角定向(DOA DOA estimation procedures for multi-dimensional planar array of procedures for the azimuth orientation of the pitch angle of the plane array)

将一张图片嵌入到另一张图片中，并提取出来(LSB 算法)(Embed a picture into another picture, and extracted it (LSB algorithm))

说明：  用窗函数法设计一个能对模拟信号进行滤波的线性相位FIR低通滤波器。抽样频率为 kHz，通带截止频率为 kHz，阻带截止频率为 kHz，要求阻带最小衰减 dB。为了降低运算量，所设计滤波器的阶数要尽可能的低(With the window method to design a filter to the analog signals of linear phase FIR low-pass filter. Sampling frequency is kHz, passband cutoff frequency kHz, stopband cutoff frequency of kHz, the minimum required stopband attenuation dB. To reduce the computation, the order of the filter designed to be as low as possible)

说明：  这是基于matlab的数字频分析谱仪。有多种滤波器(This is based on the number of frequency analysis matlab spectrometer. There are many filter)

详细介绍matlab和C++混合编程相关功能的书(Details matlab and C++ mixed programming books related functions)

这个程序是关于多元峰值函数的的例程，新手和老手都会从中得益。(This process is about the multi-peak function of the routines, and newcomers and old hands will benefit from it.)

matlab关于作图的讲解（有例题）包括二维，三维等等(explanations on the mapping matlab (with examples), including two-dimensional, three-dimensional, and so)

一本不错的关于MATLAB最优化计算方面的书～(A good book on MATLAB optimization calculations to)

实现对眼睛的识别，以及实现多帧图像的连续跟踪。用matlab实现，里面有测试图片。(To achieve recognition of the eyes, as well as the realization of multi-frame images of continuous tracking. Using matlab to achieve, there are test images.)