newton

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.

MATLAB编程图像低通滤波源码MATLAB programming source image low-pass filter(MATLAB programming image low-pass filter source MATLAB programming source image low-pass filter)

Query By Humming System In Matlab

基于matlab编写的SQP优化算法，用来求解有约束的非线性规划问题(sequential quadratic programming:Used to solve constrained nonlinear programming problems)

《Matlab工具箱应用》 张金明等编，原书扫描件(Applications, edited by Zhang Jinming Matlab toolbox, the original book scan)

解标志模糊的奇异值分解和多路张量模型,用Matlab代码编写.(Resolving the Sign Ambiguity in the Singular Value Decomposition and multi-way tensor models)

Particle Filter good example

Convert image RGB to GIELAB

NLMS Adaptive filter for voice

RSSI网络边界节点定位问题程序，有一定的参考价值(edge point location using rssi)