搜索资源列表
LPCC
- LPCC语音信号特征提取程序，参考《Matlab扩展编程》-The LPCC speech signal feature extraction procedures, refer to the " Matlab extension programming"
chugao1
- 0基于语音信号特征：短时能量，短时过零率子带谱熵的语音信号的端点检测-0 endpoint detection based on speech signal characteristics: short-term energy, short-term zero-rate sub-band spectral entropy of speech signals
Rayleigh-fading
- 考虑阴影效应，多普勒频移等的影响，用于描述瑞利衰落信号的信号特征-Take into account the shadow effect, Doppler shift, etc., used to describe the signal characteristics of the Rayleigh fading signal
cpm_signals
- 仿真连续相位调制信号特征，适用于连续相位调制不同调制参数时的误码率-Simulation of continuous phase modulation signal characteristics, bit error rate applies to continuous phase modulation of different modulation parameters
YfillterECCGe
- 是，关于ECG信号特征提取采样率为为256Hz的ECG数据设计的滤波器 -Extracted on characteristics of the ECG signal sampling rate of 256Hz ECG data filter design
Fmelmfccr
- 从说话人的语音信号中提取说话人的个性特征是声纹识别的的关键。主要介绍语音信号特征提取方法中的Mel倒谱系数 -Extracted from the speaker' s voice signal in the speaker' s personality is the key to the voiceprint identification. Introduces the speech signal feature extraction method in Mel cepstra
RECGGdenoisiie
- 去除在心电信号采集过程中混入的肌电干扰、工频干扰、基线漂移等噪声信信号，避免噪声对心电信号特征点的识别与提取造成误判漏判 已通过测试。 -Remove the EMG interference mixed with the signal acquisition process in mind, frequency interference, baseline drift and noise channel signal to avoid noise caused by the misjudg
Time-frequency-atom-
- 时频原子分解算法利用冗余特性分解成多个时频原子库来进行信号特征的处理分析-Time-frequency atom decomposition algorithm using redundant features broken down into processing and analysis the multiple frequency atoms library to signal characteristics
MatchingPursuit
- Matching Pursuit 算法是信号分解的一种具体实现方法。但其本质上则是一种估计 信号模型参数的方法，因而可直接用于信号检测及参量估计。本文以谐波信号特征参量的估计为例，介绍了其具体实现方法。-Matching Pursuit algorithm is a specific method of signal decomposition. But by its very nature is an estimated signal model parameters, and thus
Wavelet-Entropy
- 文中从小波变换的角度出发,通过在尺 度域上对信号能量的一种划分,引入了小波能谱与小波熵作为信号特征提取的特征量来反映系统信号的统计特征。实验结果表明,该算法能有效提取弹丸激波信号特征,速度快、准确率高,而且具有对噪声不敏感的优势。 -Paper, starting from the point of view of the wavelet transform, introduced by a division of the signal energy scale domain, wave
wavelet-transform
- 小波变换程序可以实现信号特征提取，图像处理等功能。-Wavelet transform procedure can achieve signal feature extraction, image processing and other functions.
基于matlab开发的特征选择算法
- 基于matlab开发的特征选择算法，提取ECG（心电信号）的最有特征组合，降低特征维度。-Based matlab developed feature selection algorithm the extracted ECG (ECG) is the most feature combination to reduce the feature dimension.
信息熵算法
- 基于Matlab平台开发的用于生理信号特征选择的程序算法，信息熵算法，主要用于特征选择，属于模式识别的一类。-The program used for physiological signal feature selection algorithm based on Matlab platform development, information entropy algorithm is mainly used for feature selection, belongs to a class
tzextraction
- 基于小波分析的信号特征提取，可以应用于多个领域-The extracted signal characteristics based on wavelet analysis can be applied to multiple areas
330
- 提出了将信号进行相空间重构后再采用奇异值分解, 对分解后的主成分进行包络分析, 从而提取信号的隐含特 征的方法, 并将该方法应用于齿轮的局部故障振动特征信号的提取中。数值仿真实验结果表明, 该方法能有效提取强背景 信号及噪声中的弱冲击特征信号, 是一种有效的弱信号特征提取方法。采用该方法对齿轮振动信号进行故障特征提取与识 别, 结果与实际情况相符。-Signal implicit characteristic of phase space reconstruction, and th
GetFeature
- 提取语音信号特征参数 lpcc 语音信号处理-speech process
bispectrum
- 用c实现的提取信号的双谱，进而可用于信号特征提取和识别-With c realize the dual spectrum signal extraction, and thus can be used for signal feature extraction and recognition
FD-Pearson-ICA-in-BSS
- 一种新的频域盲源分离方法，用皮尔逊系统去模拟不同频率上的信号分布，通过信号特征，选择合适的皮尔逊类型的函数去优化分离矩阵，从实现盲源分离.-A new frequency-domain blind source separation method using the Pearson system to simulate a signal on a different frequency distribution, through the signal characteristics, selec
Chirp-radar
- 线性调频雷达信号特征提取方法研究-Chirp radar signal feature extraction method
denoise
- 小波去噪是一个信号滤波的问题，而且尽管在很大程度上小波去噪可以看成是低通滤波，但是由于在去噪后还能成功地保留信号特征，所以在这一点上又优于传统的低通滤波器-Is a signal wavelet denoising filtering problem, and despite the large wavelet denoising can be regarded as a low-pass filter, but since the denoised signal characteristics