Matlab-wavelet-analysis-toolbox

Power Oscillations C6 Examples

对比dct和dwt在图像数字水印应用中的特点，分析其特性。(contrast Extra dwt and the application of digital watermarking images of features, analysis of their identity.)

1024点matlab仿真，10位输入，12位输出，结果保存在图像中(Matlab simulation of 1024 points, 10-bit input, 12 output, the result stored in the image)

erpPCA可用于特征提取，是对pca的优化(erpPCA can be used for feature extraction, is to optimize the pca)

salt and pepper noise correction

BP（Back Propagation）网络是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。 BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。 它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。 通过对信息的提取以及记忆，用作分类、聚类、预测等。 (BP (Back Propagation) network is a pre-press error back propagation algorithm Multilayer feedforward network, is one of the most widely used neural network model. BP network can learn and store a large amount of input- output mode mapping without prior reveal mathematical equations that describe the mapping relationship. It s learning rule is to use the steepest descent method, by reverse spread to constantly adjust the network weights and thresholds and the minimum sum of squared error of the network. BP neural network topology comprises an input layer (input), hidden layer (hide layer) and an output layer (output layer). By extracting information and memory, it is used as classification, clustering, prediction.)

使用simulink建立的模型，仿真自动巡航系统。(a cruise control model created on simulink.)

make descrite selection from a set of values with different probabilities and produce a sample array

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此程序演示随机信号通过线性系统 联合开发网 - pudn.com