matlab

ex3_2 求系统的阶跃响应 ex3_3 级联型系统结构的参数求解 ex3_4 并联型系统结构的参数求解 ex3_5 求系统频率抽样型结构 ex3_6 全零点性滤波器Lattic结构 ex3_7 全极点性滤波器Lattic结构 ex3_8 零极点性滤波器Lattic结构(ex3_2 system step response for a cascade system ex3_3 parameters ex3_4 parallel systems to solve the structure of the system parameters to solve for the frequency of sampling ex3_5 structure of filter ex3_6 0:00 Lattic whole structure of all-pole filter ex3_7 structure Lattic Pole-zero ex3_8 structure of filter Lattic)

介绍MATLAB曲线拟合功能，并通过绘制弯矩图的实际例子说明它在有限元绘图中的应用(Introduction MATLAB curve fitting function, and moment diagram by drawing the actual examples of it in the drawing of the finite element)

时间序列分析中常用到的matlab代码，非常多哦。(Commonly used time series analysis of the matlab code, oh many.)

说明：  DSP中两个信号阵列卷积的两种算法。一种是看两个信号得结果，另一种是看结果的每一部分由信号中哪些部分组成。(DSP array convolution of two signals of the two algorithms.)

说明：  清浊音检测，方法为短时平均能量，自己编的matlab程序。希望有用(-Qingzhuo tone detection, methods for short-term average energy, the matlab own procedures. Hope useful)

unpack basis coff Function for wavelet processing

一个关于matlab的基础知识的介绍，希望能对初学者有帮助！(A basic knowledge of matlab introduction, hoping to be helpful for beginners!)

磁流变限界半主动最优控制：采用基于状态反馈线性二次最优控制算法可确定半主动控制中所需的最优控制力(clipped optimal semi-active control algorithm)

阵列信号处理中的其中一个传统子空间方法仿真程序，二维music算法。(One of the traditional subspace method simulation program in array signal processing, the two-dimensional music algorithm.)

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.)