danxiangpwmnibian

Patterns of Enterprise application architecture

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.

Computed Radiography Overview Acceptance Testing Quality Control

This code for shift factor problems

说明：  国外经典电机矢量控制的电子书，内容相当详细(Vector control of foreign e-book classic, is quite detailed )

说明：  vc++调用MATLAB源程序，vc++调用MATLAB源程序，(vc++ to call MATLAB source code, vc++ to call MATLAB source,)

一种改进的esprit算法：性能优于传统的esprit算法，用于数字信号处理(adv-esprit)

白噪声过程的功率谱 自相关函数和功率谱(The power spectrum of the white noise process autocorrelation function and power spectral)

These codes are about beamforming. receiver is like disc or ula.describtions are in m_files

数字图像处理源代码 matlab编程实现(matlab Digital image processing source code )