matlabquantization

应用经典prony法和AR参数建模进行模态参数识别(Prony method and the application of the classical AR modeling parameters for modal parameter identification)

说明：  LMS在加性高斯白噪声信道下迭代2000步的输出能量和误差权矢量(LMS in the additive white Gaussian noise channel output of the next iteration step 2000, the energy and the error weight vector)

mimo-ofdm的信道估计，能够仿真通顺(Channel estimation for a MIMO-OFDM system)

有关无线传感网络的卡尔曼的matlab仿真(Kalman on the wireless sensor network simulation matlab)

Laminated Plate Analysis

梯度脸，人脸识别光照处理，解决不同光照下的人脸识别(Gradientface: for face recogntiion under varying illumination)

Support vector machine is a machine learning method that is widely used for data analyzing and pattern recognizing. The algorithm was invented by Vladimir Vapnik and the current standard incarnation was proposed by Corinna Cortes and Vladimir Vapnik. This application note is to helping understand the concept of support vector machine and how to build a simple support vector machine using Matlab

基于多相结构的信道化接收机，包含特征值与特征向量的提取、训练样本以及最后的识别，自写曲率计算函数 。( Channelized receiver based on multi-phase structure, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Since writing the curvature calculation function.)

Multiple Access Channel with Generalized FeedBack rate region analysis MAtlab Code

matlab的小波对一个心电信号进行去噪处理，txt文档是心电的信号(failed to translate)