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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.)
基于C语言的特征点提取程序
- 本程序是利用C语言对各种信号数据的特征点提取程序，利用C语言来实现。(This procedure is the use of C language for a variety of signal data feature extraction procedures, using C language to achieve.)
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)
HHT_EMD
- EMD经验模态分解,用于信号处理，常和hilbert-huang变换一起用于信号特征提取、信号消噪等领域。(EMD for signal processing, often with hilbert-huang transform for signal feature extraction, signal de-noising and other fields.)
阵列信号处理的理论和应用
- 阵列信号处理的目的是通过对阵列接收的信号进行处理，增强所需的有用信号，抑制无用的干扰和噪声，并提取有用的信号特征及信号所包含的信息。与传统的单个定向的传感器相比，传感器阵列具有灵活的波束控制、高信号增益、极强的干扰抑制能力以及高空间分辨能力等。(The purpose of array signal processing is to enhance useful signals required by the array, to suppress unwanted interference an
信号盒维数和稀疏性的提取_matlab
- 信号复杂度特征的提取，主要实现盒维数和稀疏性的matlab代码实现(Extracting the feature of signal complexity and realizing the matlab code of box dimension and sparsity)
R
- 自适应提取心电信号R波,经验分解加阈值法(Adaptive extraction of R waves from ECG signals)
齿轮箱信号分析
- 故障特征提取matlab程序。用于齿轮箱特征提取(Fault feature extraction matlab program.)
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(Data classification of BP neural network speech feature signal classification)
小波包能量谱
- 用于信号特征提取，提取信号的小波包能量谱(Extracting the wavelet packet energy spectrum of the signal)
对OFDM信号的频谱感知的循环特征检测
- 对802.11协议模拟的OFDM信号的两种速率6Mbps（BPSK调制）和12Mbps（QPSK调制）进行循环谱检测来验证对OFDM信号检测的可行性。(Cyclic spectrum detection is performed on two rates of OFDM signals simulated by the 802.11 protocol, 6 Mbps (BPSK modulation) and 12 Mbps (QPSK modulation) to verify the fea
duqu-Matlab
- 心电信号特征提取ECG Qrs生物医学工程(feature extract biomedical)
shuangpujiancesignal
- 计算信号的双谱，为机械故障诊断提供依据，还可以用于故障特征提取(Bispectrum for calculating signals)
脉搏波信号提取
- 对脉搏信号进行滤波处理后，再进行时域分析和频域分析，提取出脉搏信号的周期、峰值、频率等特征。(After filtering the pulse signal, time domain analysis and frequency domain analysis are carried out to extract the characteristics of pulse signal such as period, peak value and frequency.)
基于多信号小波变换分解的特征提取
- 实现对振动信号的小波变换分解的特征提取。(The wavelet transform decomposition of vibration signal is realized to extract its features.)
高阶统计量法微弱信号检测
- 基于高阶统计量特征的通信系统中微弱信号检测程序(Weak Signal Detection Program in Communication System Based on Higher Order Statistics)