filtrodoppler

The program about sliding mode control: chap1_1ctrl.m chap1_1plant.m chap1_1plot.m chap1_1sim.m ....

This is a Grey Wolf Optimization Algorithm MatLab Code.

partial differential equation 5 matlab

用有限元软件分析模型，用于超声弹性成像，有一定的参考价值(Software analysis using finite element model for ultrasonic elasticity imaging, there is some reference value)

说明：  混沌工具箱（matlab）: 产生混沌时间序列 求时延(delay time) 求嵌入维(embedding dimension) 求关联维(correlation dimension) 等等.....

The project manager in MPLAB v3.40 has been extended to support multiple files. Previously established projects from MPLAB v3.31 and earlier will be converted automatically by MPLAB v3.40 when they are opened. Converted projects cannot be re-opened from previous versions of MPLAB.

梅林变换是参数估计里很重要的一种方法 应用很广泛 (Mellin transform is a very important parameter estimation methods in a very wide range of applications)

reviews radar waveforms,including CW, pulsed, and LFM. High Range Resolution (HRR) waveforms and stepped frequency waveforms are also analyzed.(reviews radar waveforms, including CW. CDFI. and LFM. High Range Resolution (HRR) waveforms and stepped frequency waveforms are also analy propellant.)

matlab解偏微分方程，里面详细介绍了偏微分方程怎么离散化通过Matlab求解。(The MATLAB solution of partial differential equations)

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.)