EBMA_Half_Pixel.m

心电图识别QRS波形。含有MATLAB源码及155个波形文件组成的CSE心电数据库。(QRS ECG waveform recognition. Contains MATLAB source code and files consisting of 155 waveforms CSE ECG database.)

将信号分为不同频带，计算峭度值，选择峭度值最大的频带解调分析(divide The signal into different frequency bands, calculate kurtosis value, the maximum kurtosis band demodulation)

偏振去雾 Yoav Y.Schechner,一直研究偏振去雾算法，典型的代表作，blind haze separation, advanced visiblity improvement based on polarization filtered images，(Polarization defogging Yoav Y.Schechner, has been studying the polarization defogging algorithm, a typical representative, blind haze separation, advanced visiblity improvement based on polarization filtered images,)

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.)

用于模拟相移光纤光栅(FBG)的传输特性,包括多相移光栅(Used to simulate the phase-shift fiber Bragg grating (FBG) of the transmission characteristics, including multi-phase-shift grating)

matlab ebook for electroniks

卡尔曼滤波器和维纳滤波器的实现 教育资料 学术研究(Kalman filter and Wiener filter to achieve educational materials research)

复倒谱域滤波去除信号混响成分。利用复倒谱域变换与复倒谱滤波的方式去除单通道语音信号中的混响成分，提高语音质量。(Complex cepstrum domain filtering to remove the reverberation signal component. Using complex cepstrum and complex cepstrum domain transform filter Wave way to remove single-channel voice signal reverberation components, to improve voice quality)

Semi-Supervised Distance Metric Learning for Collaborative Image Retrieval

this programme shows how the trajectory works with 3 axis