cornerfinder

首先从n个数据对象任意选择 k 个对象作为初始聚类中心；而对于所剩下其它对象，则根据它们与这些聚类中心的相似度（距离），分别将它们分配给与其最相似的（聚类中心所代表的）聚类；然后再计算每个所获新聚类的聚类中心（该聚类中所有对象的均值）；不断重复这一过程直到标准测度函数开始收敛为止。一般都采用均方差作为标准测度函数. k个聚类具有以下特点：各聚类本身尽可能的紧凑，而各聚类之间尽可能的分开。(First, a data object from the n choose k objects as initial cluster centers and for the rest of the other objects, according to their similarity with the cluster center (distance), respectively, assign them to their most similar (represented by cluster center) clustering then calculated for each cluster center received a new clustering (all objects in the cluster mean) repeats this process until the convergence criteria begin until the measure function. Standard deviation is generally used as a standard measure function. K a cluster has the following characteristics: the cluster itself as a compact, but separated as much as possible between each cluster.)

一种自己设计的贝叶斯分类器,具有一定的参考价值(A kind of self-designed Bayesian classifier, with some reference value)

说明：  正弦波方波通过低通滤波器，显示时域频域波形，自相关函数，功率谱密度(The sine wave and square wave pass through the low-pass filter to display the time-domain waveform, frequency domain waveform, autocorrelation function and power spectral density)

code for converting colored image to gray

diagen, modeling diagenesis trend for sediments

实现了指纹图像的质量措施ocl(方向确定度),并以网格形式显示(Measures to achieve the quality of the fingerprint image ocl (direction determining degrees), and displays a grid)

包含了CMMB系统发端从星座映射开始直到完成OFDM调制的过程。(Contains the system originating from the constellation mapping CMMB start until the completion of OFDM modulation process.)

mi malab code for remote sensing

说明：  数值模拟实验，采用蝶形算法利用matlab实现的fft变换，针对指数函数，包含正fft以及逆变换。附带实验报告(Numerical simulation experiments, using butterfly algorithm fft using matlab to achieve transformation, for exponential function, including being fft and inverse transform. Incidental to the experiment report)

说明：  基于非负矩阵分解的语音分离方法，matlab实现(NMF-based speech separation method, matlab implementation)