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levy
- 对于振动信号处理时域信号,ARMA法是一种非常有效的方法,这是用matlab编的源程序,使用非常方便。-Vibration signal processing for time-domain signal, ARMA method is a very effective method, which is made using matlab source, use very convenient.
Wavelet1D
- 本例程主要演示了一维小波变换,小波算法是一种基于时域到频域的变换,可以得到信号频率和时间的关系。-The main demonstration of the routine of one-dimensional wavelet transform, wavelet-based algorithm is a time-domain to frequency domain transform, the signal can be frequency and time.
Untitled
- 模拟单边带调幅及解调产生300 ~ 3400Hz的调制信号,画出时域波形及频谱; 产生载波信号,频率自定义,画出时域波形及频谱; 产生加性高斯白噪声,画出时域波形及频谱; 单边调幅,画出叠加噪声后的调制信号和已调信号的波形及频谱; 设计滤波器,画出幅频响应图; 解调,画出解调后的信号时域波形及频谱,并对比分析。-Simulation of single sideband amplitude modulation an
DFT
- 快速傅里叶变化是将信号从时域映射到频域的一种有效地方法,下面是用c编写离散傅里叶变化的代码。-Fast Fourier change is the signal from time domain to frequency domain mapping of an effective method, the following is the preparation of discrete Fourier c of the code changes.
timesample
- 基于 MATLAB 的时域信号采样及频谱分析,是很好的学习时域信号的matlab源代码。-MATLAB-based time-domain signal sampling and spectral analysis, is a very good study of time-domain signal matlab source code.
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- 基于 MATLAB 的时域信号采样及频谱分析 二、基本要求: 掌握数字信号处理的基本概念、基本理论和基本方法; 。-MATLAB-based time-domain signal sampling and spectral analysis of two basic requirements: to master the basic concepts of digital signal processing, basic theory and basic m
discrete_time
- 使用matlab对离散时间信号进行时域和频域分析-Using matlab to the discrete-time signals in time domain and frequency domain analysis
xinhao
- 离散信号的时域分析,输出各种离散信号的波形图,有利于各初学者理解揣摩-Time domain analysis of discrete signals, the output waveform of various discrete signals, try to figure out is conducive to the beginner to understand
Signal-time-domain-analysis
- 信号的时域分析:包括连续小波分析,vigner-will分析,短时傅里叶变换等。-Time domain analysis: including the continuous wavelet analysis, vigner-will analysis, short time Fourier transform.
加速度频域积分为位移
- 对加速度二次积分为位移,将时域积分装换为频域积分, 实现方法为将时域信号进行FFT到频域,然后对频谱做简单运算实现了频域上的积分 最后将频域经过IFFT到时域 实现了频域上的积分。
语音hanmingchuang
- hanming窗时域和频域波形,程序运行后相应的汉明窗时域波形和幅频特性
数字信号处理
- 制一段个人自己的语音信号,并画出该信号的时域波形和频谱图;再录制一段同样长时间的背景噪声叠加(加法叠加)到语音信号中,分析叠加前后信号频谱的变化;设计一个合适的滤波器,把改造生滤除;最后回放语音信号。(peech signal processing for a period of one's own, and draw the signal time-domain waveform and frequency spectrum; background noise superimposed and
MATLAB信号处理超级手册Chapter 02
- MATLAB信号处理超级手册例程,关于信号的产生运算,在时域的分析等(Demo of MATLAB. It includes signal generation, calculation and time domain analysis)
integration_w
- 将采集的时域加速度信号积分处理,一次积分为速度信号,二次积分为位移信号,并绘制信号图(The acquired time domain acceleration signal is integrated into a velocity signal, the two integral is a displacement signal, and a signal map is drawn)
信号与系统应用
- 信号与系统的应用,对同一个连续周期信号,选定不同采样间隔 s T 和信号截取长度 1 T ,获得离散 信号,使用DFT或FFT 进行频谱分析,画出频谱图,与理论计算的结果进行比 较,观察: (1)不同采样率 s T 对频率范围和混叠误差的影响; (2)不同采样长度 1 T (单周期采样和多周期采样)对频率分辨率的影响; (3)是否完整周期采样对泄漏误差的影响,多周期采样是否可以减小非完整周 期采样产生的泄漏误差。 以下信号中叠加了一个角频率为50 ? 的高频干扰信号,信号如下: 3 (
matlab小波分解时频分析
- 传统的傅立叶变化只能分析时域、频域图,而小波变化能进行时频分析,对信号进行更好的处理。(The traditional Fourier transform can only analyze the time domain and frequency domain diagram, while the wavelet transform can carry on the time-frequency analysis and better deal with the signal.)
语音信号处理
- 采用MATLAB 2015b综合运用各种函数调用等来实现语音信号时域的短时能量,短时过零以及短时自相关函数分析和频域的傅里叶变换,功率谱估计,短时傅里叶变换,小波分析,语音信号的短时综合,语谱图各种分析,充分了解熟悉语音信号的相关分析方法。(This experiment uses the MATLAB 2015 b, the integrated use of various kinds of function call to realize speech signal in time dom
特征提取
- 提取EMG信号的时域特征代码,包括(RMS,WL等)(The time domain feature code for extracting EMG signals, including (RMS, WL, etc.))
baoluofenxi
- 用于信号分析中的时域分析,将数据图形化,便于看出趋势(the analysis of signal)
chengxu
- 对原时域信号x进行fft,得到频域信号y 频域滤波 对原信号频域滤波,得到滤波之后的频域信号y1(原频域信号y*滤波器c) 求包络谱(The original time domain signal x is FFT, and the frequency domain signal Y is obtained spectrum shaping In the frequency domain filtering of the original signal, the frequency d