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简易的滤波器，毕业设计用的。希望对大家有用(Filter for matlab.very easy to learn )

ARINC429通信技术的描述，介绍了ARINC429通信的基本概念pdf(ARINC429 Communication protocol introduced)

MATLAB写的，从基本原理出发，判定给定图是不是二部图，文件中有两个例子可以验证算法。(Written by MATLAB, starting from the basic principle, determine a given graph is figure, can validate algorithm file, there are two examples. )

反射系数与地震子波褶积合成地震记录，p，d，s分别是预设地层纵波速度、密度、及横波速度模型。其中包含可以改变主频的ricker子波，avopp是提取反射系数的程序。wigb可以对其中的多道进行强化显示。(Reflection coefficient and the convolution synthetic seismogram, the seismic wavelet p, d, s are preset formation p-wave velocity, density, and shear wave velocity model. Contains can change the frequency of the ricker wavelet, avopp is the process of the extraction of reflection coefficients. Wigb can to strengthen the multi-channel display.)

boost 非线性分叉仿真 完整出图 效果明显(boost non-linear simulation complete bifurcation diagram showing the effect of significantly)

智能信息处理应用的实例，有模糊推理及其仿真(Intelligent Information Processing Examples of applications, has fuzzy inference and simulation)

此文档主要讲述了MATLAB R2011a的simulink的仿真功能完备详细介绍，还有程序仿真图，有助于MATLAB用于仿真的学习(This document focuses on the function of the MATLAB R2011a simulink simulation complete details, there is a program simulation diagram helps MATLAB for simulation learning)

matlab数字图像处理课件PPT，适于初学者，基础内容相对全面(matlab image processing)

摘 要：本论文主要研究了语音识别的基本原理,对语音识别系统的构成进行分析处理,其中包括预处理、特征参数提取、建立模块库、识别匹配几大部分。预处理又包括语音采样、预加重、加窗（汉明窗）、端点检测；特征提取的参数是梅尔频率倒谱系数MFCC。 该语音系统采用的是动态时间伸缩算法(DTW)，研究对象是特定人的语音识别，并在MATLAB平台上实现。为了进行后续研究，首先使用电脑中的录音系统录制了阿拉伯数字0—9的语音文件，并转化成 “.wav”格式的文件。(Abstract: This thesis mainly studied the basic principle of speech recognition, to analyze the composition of the speech recognition system, including the preprocessing, feature extraction, to set up the module library, identify several most matches. Pretreatment, including speech sampling, pre-emphasis, add window (hamming window), endpoint detection Feature extraction of MFCC MEL frequency cepstrum coefficient. The voice system USES a dynamic time scale (DTW) algorithm, the research object is the speaker-dependent speech recognition, and realized in MATLAB platform.To carry out the follow-up study, the first to use the recording in a computer system to record the audio files of Arabic Numbers 0-9, and translated into . Wav format file.)

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