搜索资源列表
BP1
- BP神经网络 数据分类 语音特征信号分类-BP neural network classification of data signal classification speech features
Untitled
- 滤波处理，对信号进行滤波处理，提取信号的故障特征频率-Filtering, filtering the signal, extract the fault characteristic frequency of the signal
MAR
- 语音分析软件，多变量自动回归模型。主要是用来对语音信号进行长时分析。计算MAR特征-Voice analysis software, multivariate automatic regression model. Is primarily used for voice signal analysis of long. MAR features calculated
Nonsampling_Contourlet
- 非下采样contourlet变换是一种较新的多尺度几何分析方法，能够很好地描述信号的线奇异特征，具有多方向滤波器组。-Nonsubsampled contourlet transform is a relatively new method of multiscale geometric analysis, can well describe the signal characteristics of the line singularity, with multi-directional fi
yuyinxinghaochulikejian
- 语音信号处理的课件，包含语音信号的短时分析、特征提取、矢量量化，语音编码、合成与识别.-Speech signal processing courseware, including short-time speech signal analysis, feature extraction, vector quantization, speech coding, synthesis and recognition.
tiqu
- 提取信号七个基于瞬时信息的特征：零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差，零中心非弱信号段瞬时相位非线性分量绝对值标准偏差，零中心非弱信号段瞬时相位非线性分量标准偏差，零中心归一化的非弱信号段瞬时频率绝对值的标准偏差，一个信号段的归一化瞬时频率功率谱密度的最大值，根据信号 QPSK 和16QAM在 XI 轴投影的不同表现，提出特征参数。-Extraction based on instantaneous information signal of seven
QPSK_16QAM
- 提取信号七个基于瞬时信息的特征：零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差，零中心非弱信号段瞬时相位非线性分量绝对值标准偏差，零中心非弱信号段瞬时相位非线性分量标准偏差，零中心归一化的非弱信号段瞬时频率绝对值的标准偏差，一个信号段的归一化瞬时频率功率谱密度的最大值，根据信号 QPSK 和16QAM在 XI 轴投影的不同表现，提出特征参数。-Extraction based on instantaneous information signal of seven
moulation_classification
- 主要是实现调制识别，区分几种常用的数字调制信号，包括ASK,FSK,PSK,QAM。含有两个文件夹 其一为特征参数的仿真；其二为正确识别率的仿真。 文件夹key feature simulink中： 运行程序会得到各特征参数之间区分图 从图中可看到特征参数的有效性。 文件夹classification rate simulink中： 运行main.m文件 可以得到正确识别率 -Mainly to achieve modulation recog
lunwen
- 本文简要介绍了语音信号采集与分析的发展史以及语音信号的特征、采集与分析方法，并通过PC机录制自己的一段声音，运用Matlab进行仿真分析，最后加入噪声进行滤波处理，比较滤波前后的变化。-This paper introduces the voice signal acquisition and analysis of the history and characteristics of speech signals, sampling and analysis methods, and thro
PAM-TH-UWB
- 产生PAM_TH_UWB，包括PAM_TH_UWB信号的产生和频谱特征-Produce PAM_TH_UWB, including PAM_TH_UWB signal generation and spectral characteristics
MPSKQAM
- 本文深入研究了复杂调制信号MPSK、MQAM的倍号子类以及常用恒包络信 号OQPSK、or／4 QPSK、MSK的调制识别披本。在鳆种基本调制识别方法即基于特征提取的方法和基于最大似然的方法的纂础上采用四种算法分别对上述信号进行识别研究。-This article studies the complex modulation signals MPSK, MQAM number of times and the common sub-class of constant envelope sig
ask2
- ask2信号的产生，以及特征参数的提取与计算-ask2 signal generation, and the characteristic parameters of the extraction and calculation of
xgzsmx
- 相关噪声模型和相关函数计算 相关函数是平稳随机过程的重要数字特征，根据观测记录的信号波形或者一串数据序列，来估计该信号的自相关函数是信号处理的重要方法之一。-correlation noise model and correlation function
Hilbert-characteristic
- 利用Hilbert变换提取信号瞬时特征的算法实现-characteristic-drawing based on Hilbert
Envelop1.1
- 对于信号的包络提取CWDM波形特征新方法的研究，可以有效地提取含杂音信号的包络。便于后续研究。-Extraction of the envelope for the signal waveform characteristics of the new method CWDM research can effectively extract the envelope of the signal with noise. Facilitate follow-up study.
voicebox
- 语音信号处理工具箱，包含常用的特征提取、断点检测、降噪算法等-voice signal processing toolbox
imageprocess
- 数学形态学对信号进行去噪，效果较好，信号扰动特征得到很好保留-Morphology of the signal de-noising effect is good, the signal disturbance characteristics are well retained
Feature_Extraction
- 筛选的几篇脑电节律提取的文章，可以用于其它信号处理~ 【基于改进小波变换的EEG分析】【基于小波变换的动态脑电节律提取】【脑电信号的特征节律信号提取】【a、β、δ、θ和40Hz波实时检测器】-Screening of several EEG extracted article, can be used for other signal processing ~ 【EEG based on improved wavelet analysis】 【based on wavelet transf
HD-SDIsignal
- HD-SDI信号的特征-Features HD-SDI signals
Energyentropy2
- 语音信号处理中的的线性特征，能量熵的计算，这是第二能量熵的matlab代码，希望大家能够借鉴一下-Speech signal processing linear features, energy entropy calculation, which is the second energy entropy matlab code, I hope we can learn about