搜索资源列表
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
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)
周期图法谱估计需要对信号序列“截断”或加窗处理
- 周期图法谱估计需要对信号序列“截断”或加窗处理，其结果是使估计功率谱密度为信号序列真实谱和窗谱的卷积，导致误差的产生。本程序分别设计了周期图法,最大熵功率谱估计和Welch法以及它们的对比,最大熵功率谱估计目的是最大限度地保留截断后丢失的“窗口”以外信号的信息，使估计谱的熵最大。-Periodogram spectrum estimation signal sequence needs to " cut off" or add the window handle, the
waveletentropy
- 该程序是基于小波变换的熵谱，用来提取时间序列的周期成分。熵谱相对于小波谱来说在提取周期成分上有一定优势-The program is based on spectral entropy of wavelet transform to extract time series of the periodic component. Entropy is relative to the small spectral component in the extraction cycle, there are
wavelet_packet_denoise
- 基于小波包分解的语音去噪，根据熵谱概率密度函数估计阈值，去除实际环境噪声。-Based on wavelet packet decomposition of the voice de-noising, in accordance with spectral entropy probability density function estimated threshold, the actual removal of environmental noise.
PSD
- 利用最大值熵法和PSD函数法分别求信号的功率谱密度。-The use of maximum entropy method and the PSD function method for seeking signals in the respective power spectral density.
zidaishangduandianjianbce
- 基于自适应子带频谱熵的稳健性语音端点检测-Based on adaptive sub-band spectral entropy of the robustness of Speech Endpoint Detection
rlsdtw
- 基于RLS及DTW算法的数字语音识别。用RLS算法来消噪从而提高DTW算法的识别率-Based on adaptive sub-band spectral entropy of the robustness of Speech Endpoint Detection
nengliang_E
- 这个是基于多带谱熵的能量语音检测，这种处理的效果很好，比传统的谱熵检测效果还明显！-This is based on multi-bands Entropy energy voice activity detection, such an approach worked well, than the traditional spectral entropy test the results were obvious!
duodaipu
- 这个是多带谱语音检测，多带谱不仅具有谱熵的有点，还具有能量分析的有点，所以检测的效果很好！-This is a multi-band spectra of voice activity detection, multi-spectral bands not only has a bit of entropy, also has a bit of energy analysis, so the effect of a very good test!
MyEntropy
- 计算香浓信息熵，方便快捷的matlab代码，可以简单直接调用-Calculated Shannon information entropy, convenient matlab code can be simple and direct calls
powerentrop_chirpz
- chirpz变换下的不同信号的谱指数熵以及香农熵调制方式识别研究-chirpz transform the spectral index of the different signal entropy and Shannon entropy modulation recognition of
pushang
- 实现低信噪比下的语音断电检测，谱熵端点检测，优于双门限端点检测法-Low-power voice SNR detection, spectral entropy endpoint detection, better than the two-endpoint detection threshold
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
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
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
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.)