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0403435刘艳
- MATLAB实现功率谱估计的程序.采用现代谱估计方法,最大熵谱法,Brug法和Levinson法-MATLAB power spectrum estimation procedures. The introduction of modern spectral estimation methods, maximum entropy spectrum, Brug law and Levinson Law
ARMODEL
- 功率谱估计的应用范围很广，在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法；经典谱估计是基于傅立叶变换的，虽然具有运算效率高的优点，但是频谱分辨率低同时旁瓣泄漏严重，对长序列有着良好的估计。为了克服经典谱估计的缺点，人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的，有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高，同经典谱估计互为补充。在认真学习了现 代谱估计方法后，我选择了
puneng22
- 这是个关于短时能量及谱熵的端点检测，还比较初步-This is a short-term on energy and entropy spectral endpoint detection, a preliminary comparison
evaluatefusion
- 图像融合评价程序，通过均值，标准偏差，熵，梯度，相关系数，光谱扭曲度等多个指标对融合图像进行评价比较。-image fusion evaluation procedures, the mean, standard deviation, entropy, gradient, and the correlation coefficient. spectral distortion degree of integration of various indicators to evaluate the
ARMA_LAST
- This function provides an ARMA spectral estimate which is maximum entropy satisfying correlation constraint (number of poles)and cepstrum constrains (number of ceros) The function requires 3 inputs: Input signal, Order of denonominator, Order
Matlab-20120611
- End-Point Detection Introduction Frequency Domain Basic Spectral Entropy Spectral Entropy with Normalized The Relative Spectral Entropy The Mean Delta Features-End-Point Detection Introduction Frequency Domain Basi
Pushang
- 基于谱熵的语音检测，能正确区分语音和各种噪声-Based the spectral entropy voice detection can correctly distinguish between voice and noise
Spectral_Entropy
- 连续语音端点检测，短时能量、过零率以及谱熵相结合，健壮性好，识别率高。阈值为自适应，可适合情况下语音端点检测。-Continuous speech endpoint detection, short-term energy, zero-crossing rate and spectral entropy, robustness, high recognition rate. The threshold adaptive, may be suitable for the case of voice
paper-of-VAD
- 语音端点检测的各种论文，包括MFCC、过零率、短时能量、小波以及谱熵等方法，对编写语音VAD算法有很大的帮助-Speech endpoint detection in a variety of papers, including MFCC, zero-crossing rate, short-term energy, wavelet and spectral entropy method, write voice VAD algorithm of great help
dtw2
- DTW的高效算法，对于提高识别率和运算速度有重大意义哦！-Based spectral entropy endpoint detection procedures
Spectral
- 用最大熵法作出N=32信噪比S/N=30db，两正弦信号的归一化频率的情况下，编程计算出该信号的最大熵谱估计。-Made using the maximum entropy method N = 32 signal to noise ratio S/N = 30db, the case of two sinusoidal signals normalized frequency programmed to calculate the maximum entropy spectral estima
pushang
- 改进后的谱熵端点检测，多子带语音端点检测法。比较准-The improved spectral entropy endpoint detection, many children with voice endpoint detection method. More accurate
spectrum-Shannon-entropy
- 信号的奇异谱香农熵和奇异谱指数熵 matlab 源程序-Signal singular spectrum Shannon entropy and singular entropy source spectral index
power-spectrum-Shannon-entropy
- 信号的功率谱香农熵和功率谱指数熵 matlab 源程序-Signal power spectrum Shannon entropy and entropy matlab source power spectral index
ABSE
- 本源程序可用于语音识别的端点检测算法，双门限端点检测算法+基于谱熵端点检测-Double threshold endpoint detection algorithm+ endpoint detection based on spectral entropy
pushang
- 谱熵法端点检测，通过修改后，可以调试了，有两个主程序pushang.m,pushang1.m-Spectral entropy method for endpoint detection
pushang
- 谱熵的端点检测方法matlab程序 学习参考-Spectral entropy method of endpoint detection
VMD_shang_xishu2
- 用于计算功率谱熵值以及相关系数(Calculation of power spectral entropy and correlation coefficient)
信息熵计算
- 可有效计算各类熵值，信息熵、样本熵、谱熵计算，与其他程序相似(It can effectively calculate all kinds of entropy, information entropy, sample entropy and spectral entropy, similar to other programs.)
程序
- main_feature.m：为特征提取主要程序,其中调用filter50.m子程序为50HZ工频滤噪；调用ApEn.m c0complex.m kEn_correct.m lyapunov_wolf.m LZC.m spectral_entropy.m SVDen.m SampEn.m子程序为非线性特征（近似熵，C0复杂度，K熵等）提取；wave_brain为小波分析频段特征提取。其中采样频率皆为256HZ。(ApEn.m c0complex.m kEn_correct.m lyapunov_