搜索资源列表
shipinyu
- 该Matlab算法，可以实现振动数据的文件的读取，进而可以进行时频分析，得到信号特征值-The Matlab algorithm can achieve vibration data of the document read, in turn, can be time-frequency analysis, Signal Characteristics
speechcode1
- matlab中用于输入语音信号，特征提取，建立模型，识别判决等三部分的源码。-matlab input speech signal is used, feature extraction, modeling, identification judgments, such as the source of three parts.
xiebo
- 用谐波小波对信号进行多层分解，提取信号特征量-Harmonic signal with multiple layers of wavelet decomposition, the volume of extraction of signal characteristics
yang
- 该源代码是MATLAB程序，可直接使用，是信号处理中的模式识别算法，包括归一化，特征提取步骤。-pattern recognition
FastICA_21
- 快速独立分量变换，可用于信号特征的提取以及端点检测等，非常好用！-Fast independent component transform, can be used for the extraction of signal characteristics, such as endpoint detection, as well as very easy to use!
leisheng
- 基于小波分析的雷声信号特征提取。word文档，详细介绍了雷声信号的特征提取过程。-Based on Wavelet Analysis of thunder signal feature extraction. word document, detailing the characteristics of the signal extraction process thunder.
xunorbf
- 用rbf神经网络对经提取得到的信号特征参数进行信号的模式识别。-Rbf neural network by using extracted parameters of the signal characteristics of the signal pattern recognition.
Temporal_features_extraction
- 个人编写的提取音频信号的时域特征参数短时平均过零率及短时平均能量的matlab源程序。供大家参考-Extraction of individual preparation of the audio signal in time domain characteristic parameters of short-term average of zero-crossing rate and short-time average energy of the matlab source. For you
graphics
- 实现ARburg算法，提取脑电信号或者心电信号的特征值-Achieve ARburg algorithm of EEG or ECG features of value
hao
- 调制识别全过程，包括信号特征值的提取，神经网络的训练，信号识别。非常好-the process of modulation recognition.it is very good for the study of modulation recognition
ECGmonitoring
- 小波变换是一种信号的时间—尺度分析方法，它具有多分辨率分析的 特点，而且在时频两域都具有表征信号局部特征的能力。由于其在信号处 理领域表现出的优异性能，目前在生物医学领域，广泛应用于信号检测、 特征提取、图像处理、信号压缩等方面。 -Wavelet transform is a signal of the time- scale analysis method, it has the characteristics of multi-resolution analysis, bu
locationP_QRS_T
- 基于小波变换的心电信号预处理 和PQRST波特征提取-PQRST wave of ECG preprocessing and feature extraction
xindian
- 心电信号的采集与处理 频谱分析与特征提取-ECG acquisition and processing of spectrum analysis and feature extraction
ECG心电特征检带论文
- 迈瑞杯医疗仪器设计大赛ECG心电特征检测，各种滤波器设计代码及文献，希望对大家有用
BP神经网络的数据分类-语音特征信号分类
- 利用BP神经网络对样例中语音信号进行分类(The BP neural network is used to classify the speech signals in the sample)
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.))
BP神经网络的数据分类-语音特征信号分类
- BP神经网络的数据分类-语音特征信号分类(BP neural networks for data classification -- speech feature signal classification)
时频域统计特征
- 信号的时频域统计特征，可用于后续模式识别,特征选择，特征提取。(The time-frequency statistics of the signal can be used for subsequent pattern recognition.)
mul_fea_ext
- 里面包含多种信号特征提取算法，有短时变换算法，包络特征提取算法，模糊函数算法，包络前沿算法，还有PCA降维等(It contains a variety of signal feature extraction algorithms, including short-time transform algorithm, envelope feature extraction algorithm, fuzzy function algorithm, envelope front algorithm,
案例1 BP神经网络的数据分类-语音特征信号分类
- 利用BP神经网络的数据分类-——语音特征信号分类(Data classification using BP neural network -- Classification of speech feature signals)