lms

Complementary ensemble EMD 的降噪程序(Complementary ensemble EMD denoise sofeware)

说明：  在MATLAB上求解自适应动态规划，实现非线性模型的ADP算法(Solving adaptive dynamic programming on MATLAB)

Scientific communication and publishing

An important aspect of an ANN model is whether it needs guidance in learning or not. Based on the way they learn, all artificial neural networks can be divided into two learning categories - supervised and unsupervised. • In supervised learning, a desired output result for each input vector is required when the network is trained. An ANN of the supervised learning type, such as the multi-layer perceptron, uses the target result to guide the formation of the neural parameters. It is thus possible to make the neural network learn the behavior of the process under study. • In unsupervised learning, the training of the network is entirely data-driven and no target results for the input data vectors are provided. An ANN of the unsupervised learning type, such as the self-organizing map, can be used for clustering the input data and find features inherent to the problem.

现代通信系统——使用MATLAB源码，该书提供了利用MATLAB的普及型学生版本在计算机上解决“现代通信系统”这门课程中涉及的几乎所有方面的问题的分析思路、方法、MATLAB脚本文件和处理结果的范例以及供学生自主学习研讨的习题。(This book is written for senior-level undergraduate and graduate students in electrical engineering, computer engineering, and computer science. It is intended to serve as a supplement to any of the comprehensive textbooks in communication systems.)

特征提取SIFT算法，对放缩 旋转不变性使此算法的经典之处。模式识别的必会算法(SIFT feature extraction algorithm, scaling rotation invariance to the classic between the algorithm. Pattern recognition algorithm will be)

yufengax-----基带 yufengbx-----PSK yufengcx-----QPSK yufengdx-----FSK yufengex-----16QAM yufengx-----误码率曲线 1----误码率曲线图(yufengax- baseband yufengbx-PSKyufengcx-QPSKyufengdx-FSKyufengex-16QAMyufengx- bit error rate BER curves 1 curve)

IIR滤波器的matlab实现，代码精简，实用。(IIR filter matlab realize, code streamlining and practical.)

说明：  扩展卡尔曼滤波例程，data为数据，EKF是处理数据的函数(Extended Kalman filter routine, data for the data, EKF is a function of processing data)

说明：  本程序展示了二维归一化互相关用于 &nbsp 模式匹配和目标跟踪。该程序提示用户选择感兴趣的（ROI）的区域和对同类目标进行跟踪的数目。归一化交叉相关图表明，当值已超过设定的阈值时目标就已经确定。(This demo illustrates the use of 2-D normalized cross-correlation for pattern matching and target tracking. The demo prompts the user to select the Region of Interest (ROI) and the number of similar targets to be tracked. The normalized cross correlation plot shows that when the value has exceeded the set threshold, the target has been identified.)