kalman

说明：  Simon Hayin的"Adpative Filter Theory"-自适应滤波第4版的所有仿真代码matlab语言版。(Simon Hayin "Adpative Filter Theory"- Self section 4 should be filtering all the simulation version of the Matlab code language version.)

切削力系数的二维图 可以看出切削力系数的变化(cutting force cofficient)

ploting antenna radiation patten using MATLAB

用ESPRIT算法对面阵（平行线阵）方位角与俯仰角进行联合估计( Estimated jointly with the ESPRIT algorithm the opposite array (parallel linear array) azimuth and pitch angle)

粒子群算法PID，利用粒子群算法优化PID参数，simulink，代码(Particle swarm optimization (PID), using particle swarm optimization (PSO) to optimize PID parameters, Simulink, code)

说明：  基于MATLAB的GUI界面实现图片的读取保存滤波去噪等功能(MATLAB-based GUI interface to read images saved to achieve features such as filtering denoising)

ITS A MATLAB CODE FOR CR

Optimal Filtering with Kalman Filters and Smoothers

语音识别是近年来发展非常迅速的一项计算机智能技术，广泛应用在语音控制、身份识别等多个领域。本次项目主要研究语音识别的预处理过程和特征参数的提取环节。通过对原始语音信号进行预加重和分帧、加窗，滤除低频干扰，提升对语音识别有用的部分，消除了部分噪音和失真。预处理之后进行信号的特征提取，主要选取了短时平均过零率和MFCC两个特征参数，应用matlab软件绘制波形图并提取特征参数矩阵，为之后的语音信号的识别打下了基础。(Speech recognition is a computer intelligent technology which has developed rapidly in recent years. It is widely used in speech control, identity recognition and other fields. This project mainly studies the pretreatment of speech recognition and the extraction of feature parameters. Through pre-emphasis, framing and windowing of the original speech signal, the low frequency interference is filtered out, the useful part of speech recognition is enhanced, and some noise and distortion are eliminated. After pretreatment, feature extraction of signal is carried out. Two feature parameters, short-term average zero-crossing rate and MFCC, are selected. Waveform diagram is drawn by MATLAB software and feature parameter matrix is extracted, which lays a foundation for speech signal recognition.)

嵌套阵列DOA估计matlab例程，基于Nested Arrays A Novel Approach to Array Processing With Enhanced Degrees of Freedom。(Matlab simulation for DOA estimation with nested array.)