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pingjungonglvdejisuan
- 基于matlab心音信号的特征提取的平均功率的计算-The calculation of the average power extracted based on the characteristics of Matlab heart sound signal
pingjun
- 基于MATLAB心音信号的特征提取的平均的算法-Average extracted based on the characteristics of heart sound signals in MATLAB algorithm
tezhengtiqu
- 基于小波分析的特征信号提取的matlab程序-Matlab program signal extraction based on wavelet analysis features
matlab-how-to-use
- 用于实现复杂信号的特征提取及分类 可以用于工程实践-Used to implement complex signal feature extraction and classification can be used for engineering practice
tuxiangfenxi
- 在matlab中对大量的轴承故障的特征信号进行小波包分解，提取特征值，并建立神经网络训练，最终可由网络进行故障的分析-In matlab large number of bearing fault characteristic signal wavelet packet decomposition, extract characteristic values, and the establishment of neural network training, and ultimately by
eg1-yuyantezhengxinhaofenlei
- 《MATLAB神经网络30个案例分析》中的第一个例子，案例1 BP神经网络的数据分类-语音特征信号分类。希望对大家有用！ -" MATLAB neural network 30 case studies" in the first example, case 1 BP neural network data classification- speech feature signal classification. I hope useful!
BP-Network
- Matlab中，BP神经网络的数据分类研究之语音特征信号分类。非常有用的源代码-Matlab, the voice data of the BP neural network classification of the characteristic signal classification.
Matlab-wavelet-noise-removal
- 小波去噪程序，根据信号的频域特征对信号进行小波分解，然后去噪-program for artifact removal, this function is obtained based on the frequency feature of signal.
BP
- 四类语音信号的BP神经网络识别： 四个特征信号矩阵合成一个矩阵， 根据BP网络输出找出语音数据属于哪类， 并求出判断正确率-BP neural network to identify four categories of speech signals MATLAB
Matlab.m
- 共振解调法诊断轴承损伤类故障的原理概述如下:当轴承某一元件表面出现局部损伤时，在受载运行过程中要撞击与之相互作用的其它元件表面，产生冲击脉冲力，由于冲击脉冲力的频带很宽，必然包含轴承外圈、传感器甚至附加的谐振器等的固有频率而激起这个测振系统的高频固有振动。根据实际情况可以选择某一高频固有振动作为研究对象，通过中心频率等于该固有频率的带通滤波器把该固有振动分离出来。然后进行包络解调，去除高频衰减振动的频率成分，得到只包含故障特征信息的低频包络信号，对这一包络信号进行频谱分析便可以容易地诊断出轴承的
time_domain_features
- MATLAB进行信号的时频特征分析,主要用于对语音信号的分析。-time-frequency characteristics of signal analysis by MATLAB
BP--for-classification
- MATLAB智能算法案例分析—— BP神经网络的数据分类-语音特征信号分类-MATLAB intelligent algorithm Case Study- BP neural network data classification- the speech characteristic signal classification
BPNN
- 采用matlab实现BP神经网络的数据分类-语音特征信号分类-BP neural network using matlab realize data classification- the speech characteristic signal classification
pluslr
- 使用了MATLAB对信号进行特征选择，使用的信号有图像信号，一维信号等。对学习信号特征有参考价值。-Using the MATLAB signal for feature selection, use of image signal of the signals, and the one dimensional signal, etc.Characteristics of learning signal has a reference value.
BP-CLASSIFY-OF-SIGNAL
- MATLAB神经网络30例书课后附的案例源程序 BP神经网络的数据分类-语音特征信号分类-MATLAB neural network 30 cases of after-school book case attached source BP neural network data classification- the speech characteristic signal classification
MATLAB-program
- 实现对信号特征的提取，能够实现对数据谱的峰值特征的提取。-To achieve the extraction of signal characteristics, enabling the extraction of data spectral peak features.
1
- 一个MATLAB代码，关于BP神经网络的数据分类，本例可用于语音特征信号分类-A MATLAB code, the data classification of BP neural network, the present embodiment may be used to classify the speech characteristic signal
matlab
- 对信号进行时域特征提取，个人已使用，感觉很不错！-The time domain feature extraction of the signal, the individual has been used, I feel very good!
STFFTtool
- 对非平稳信号进行分段、截取，将非平稳信号转化为平稳信号，再做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征。(The non-stationary signals are segmented and intercepted, and then the short-time Fourier transform is used to analyze their frequency spectrum characteristics, and the fre
STFFTtool1
- 对非平稳信号进行分段、截取，再对处理过后的短时信号做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征。(The nonstationary signals are segmented, and then the interception, the short-time signal after processing the short-time Fourier transform, the analysis of the spectrum charac