Complex-network-matlab-example

Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.

this is the ieee 14 bus program codes in matlab

新生儿脑部脑部图像处理，英文论文。介绍了各种处理方法(Neonatal brain image processing in the brain, the English papers. Describes the various methods of treatment)

本文是基于3路径的rake接收机，在高斯噪声下的三种合并方式的误码率比较。(This article is based on the path of the rake receiver 3, in the three combined Gaussian Noise BER comparison approach.)

metodo de simsomt by davo

输入：样本序列 输出：返回一个具有最佳拟合的瑞利分布(input：samples output：return a best fit rayleigh)

一个关于金属细导线的matlab程序。程序计算了偶极子的远场，方向图，增益等参量(A thin metal wire on the matlab program. Are calculated dipole far-field, pattern, gain and other parameters)

ENGINEERING AND SCIENTIFIC CALCULATIONS USING MATLAB

matlab编程，100个实例，包括1-32 图形应用篇、33-66 界面设计篇、67-84 图形处理篇、85-100 数值分析篇。(matlab programming, 100 examples, including 1-32 graphical interface (Application) ,33-66 ,67-84 design articles graphic articles ,85-100 numerical analysis articles.)

仿真了光孤子的时域和频域特性，其特点是爱传输过程中时域和频域波形不会有所变化(Simulation of solitons in time domain and frequency domain characteristics, which is characterized by love of transmission time domain and frequency domain waveform does not change)