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盲信号分离的三篇经典文章。Part One，首次提出了一种基于神经网络的学习算法（H-J算法），成功地实现了两个语音信号的分离，从而开启了一个新的领域。虽然他们的学习算法是启发式的并且没有明确指出需利用观测信号的高阶（高于二阶）统计信息，但是其迭代计算公式已具备后来ICA在线算法的雏形。 Part Two和Part Three：分别是从两个不同的角度来证明HJ算法的稳定性（主要是对源信号个数为2的情况给的证明），可惜的是，给出的稳定性条件都不是充要条件。(The three classic papers of blind signal separation(BSS).)

说明：  这是基于帧差法对运动目标检测的代码 希望对大家有用(This is based on frame difference of the moving target detection code)

simulation of the effect of a filter on a signal, showing amplitude and phase spectra, in three cases, varying its bandwidth

提取目标图像，根据物体特点，嵌入背景图片中适当的位置处(put objects into the background picture)

leafrong method matlab code

Time-frequency representations with fixed windows or kernels figure prominently in many applications, but perform well only for limited classes of signals.

Input Spectrum Magnitude response of the filter

BP神经网络进行数据分类，是一种多层前馈神经网络，该网络的主要特点是信号前向传递，误差反向传播。运用梯度下降法，(BP neural network is a multi-layer feedforward neural network for data classification. Its main characteristics are forward signal transmission and back error propagation. Using gradient descent method and BP neural network to classify data is a multi-layer feedforward neural network. The main characteristics of this network are forward signal transmission and back error propagation. Using gradient descent method,)

精通和掌握matlab，内容好！我个人学习的过程中帮助很大，希望对大家有用！(Department of 精 Gallery 和 bad matlab, 内容好! Well-behaved bully 个人 conformation Shilu 的过程 帮 Liao 很大, sentence oligonucleotide sputum 对大家 Tang!)

Flow chart for cryptography model in matlab