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classification-of-speech
- BP神经网络的数据分类-语音特征信号分类-BP neural network data classification- classification of speech signal characteristics
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- 使用能量特征、过零率特征设计一个语音检测算法。要求能在普通的实验室噪声环境下，准确地检测出语音信号的起终点位置-Use of energy characteristics, design features a zero-rate voice detection algorithm. Required in an ordinary lab noise environment, accurately detect the location of the voice signal from the e
wavelet-matlab
- 使用小波包变换分析信号的MATLAB程序, 使用小波包变换分析两个信号的特征向量和各频率成分的功率谱，很完整的一个应用程序-Signal using wavelet packet analysis of MATLAB program, using wavelet packet analysis of two signal eigenvectors and the power spectrum of each frequency component, an application is com
BP
- 神经网络中的 BP 网络，数据分类-语音特征信号分类，matlab程序-BP neural network in the network, data classification- voice characteristic signal classification, matlab program
shipingshangshiyang1
- 求信号的时频熵，对非平稳信号进行emd分解后，求时频熵，得出其故障特征-For the signal s time-frequency entropy, the nonstationary signals are EMD decomposition, and time-frequency entropy, the fault feature
fft
- 变频信号的快速FFT变换，能准确的给出信号的频谱特征-Fast FFT of the signal frequency, can give accurate spectral characteristics of the signal
ecgdetect
- 这个程序主要是关于信号处理和特征提取的，主要功能是实现心电信号的QRS波检测，并显示其波形-this process is about signal processing and charastics detection,the main function is to conduct the QRS detection of ECG and provide us with a picture
rtcmas_client
- 小波包分析提取振动信号中的特征频率，以及能量谱分析计算--wavelet packet analysis vibration signal from the characteristic frequency, and the energy spectrum analysis
BP-for-speech
- BP神经网络用于数据分类-对语音特征信号进行分类-BP neural network for data classification of speech feature signals classification
wave_decompose_ena0
- 小波分解，得到低频系数并求特征熵，可用来对信号进行分选识别-Wavelet decomposition, low coefficient and entropy, which can be used for signal sorting and recognition
music
- MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成-MUSIC algorithm is a feature space based on matrix decomposition method. From the geometric point of view, the o
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- 案例1 BP神经网络的数据分类-语音特征信号分类-Case 1 to the BP neural network of data classification-voice characteristic signal classification
BP
- BP神经网络的数据分类-语音特征信号分类-Case 1 to the BP neural network of data classification-voice characteristic signal classification
bearing
- 轴承信号故障诊断小波特征提取 采用公开的轴承信号作为源信号-Bearing fault diagnosis signal wavelet feature extraction
digital-modulation
- 文件用于数字通信信号的调制方式识别，包含调制信号的产生，模拟通信信道，以及特征量的计算（共5个特征量，分两个程序计算），最后是信号调制方式的识别。-Files for digital modulation recognition of communication signals, including modulation signal generation, Simulation communication channel, and the calculation of features(a t
Harmonic-Wavelet-Analysis
- 首先给出了谐波小波时频剖面图检测含噪声信号的微弱奇异成分的方法 然后运用谐波小波时频剖面图方 法分析了碰摩故障仿真信号 最后利用该方法对多个实际汽轮机组动静碰摩故障的真实振动信号进行了分析研 究。结果表明, 谐波小波能够得到其它信号分析方法无法得到的特征, 有效识别机组的碰摩故障。-Harmonic wavelet time frequency profile plot is introduced firstly in practice to identify weak
Selection-of-Wavelet
- 通过定性与定量的分析, 提出了在对冲击信号进行连续小波变换时选择最佳小波基函数的方法和小波变换 后故障特征提取效果优劣的检验手段, 并且得出了对于冲击性信号的连续小波变换, 小波基函数的最佳选择为 M o rlet函数的结论。-A method for selecting the best wavelet base in cont inuous wavelet transform (CWT) for impulse signals is introduced, and a test fo
ecg-QRS-detection
- 主要包括ECG信号采集和处理，以及QRS特征识别，希望对学习LABVIEW和信号处理的人员所有帮助！-Including ECG signal acquisition and processing, as well as QRS feature recognition, I hope it is very helpful for those learning LABVIEW and signal processing!
kmean
- 对语音信号的特征参数的K均值聚灯函数的MATLAB实现-voice kmeans
Neural-network222
- BP神经网络的数据分类-语音特征信号分类，6个文件，四个为数据文件-BP neural network data classification- speech feature signals classification, 6 files, four for data files