Description: 用MATLAB编程来实现语音信号中D比的计算，D比在说话人特征提取中有应用-MATLAB programming to voice signals over the D, D than in the Speaker feature extraction Applications Platform: |
Size: 837 |
Author:李凌 |
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Description: 用MATLAB编程来实现语音信号中D比的计算，D比在说话人特征提取中有应用-MATLAB programming to voice signals over the D, D than in the Speaker feature extraction Applications Platform: |
Size: 1024 |
Author:李凌 |
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Description: 传感器网络探测声信号通过特征提取进行目标设别分类-Sensor network to detect acoustic signals through the feature extraction for target-based classification of other Platform: |
Size: 10240 |
Author:sushujing |
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Description: 一种旋转机械振动信号特征提取的新方法，利用小波技术-A rotating machinery vibration signals of the new method of feature extraction using wavelet technology Platform: |
Size: 441344 |
Author:gordonjun |
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Description: 在综合描述声发射信号特点和小波殳换基本原理的基础上，结合实例介绍同时在时域
和频域具有局部分析能力的信号处理方法--小波变换在声发射信号的特征提取、时频分析和噪声去除等方面的应用。-Described in the integrated acoustic emission signal characteristics and the basic principles of wavelet Shu-for on the basis of the introduction with an example in the time domain and frequency domain with the capacity of local analysis of wavelet transform signal processing method of acoustic emission signals in the feature extraction, time-frequency analysis and noise Removal of such applications. Platform: |
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Author:康康 |
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Description: 语音信号的特征提取，语音信号的Mel倒谱特征（MFCC）的求解方法，语音信号的线性预测原理以及LPC特征的求解方法
-Speech signal feature extraction, speech signal characteristics of Mel cepstrum (MFCC) the solution, voice signals, as well as the principle of linear prediction characteristics of the LPC method Platform: |
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Author:孟星 |
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Description: matlab信号特征提取程序集合，包括信号的多种经典特征-Signal feature extraction matlab collection procedures, including the classic characteristics of a variety of signals Platform: |
Size: 89088 |
Author:dong wei |
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Description: ：由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效， 提出
应用独立成分分析( I C A) 方法对声音信号进行特征提取， 并证明了这种 I C A 变换能增强语音和音
乐信号的超高斯性． 在此基础上， 应用 I C A基函数作为滤波器， 通过阈值化的去噪方法对含有强高
斯背景噪声的声音信号进行去噪仿真实验． 结果表明， 本方法明显优于传统的均值滤波和小波去噪
方法， 为强背景噪声下弱信号的检测提供 了新的途径．-: As many of the traditional de-noising method in case of strong background noise, the ability to extract the voice signal even weaker failure, the application of independent component analysis (ICA) method of voice signal feature extraction, and prove that this transformation can be enhanced voice ICA and music of super-Gaussian signals. On this basis, the application of ICA basis function as a filter, through the threshold of the denoising method of Gaussian background noise contains strong voice signal denoising simulation. The results show that this method is obviously superior to the traditional mean filtering and wavelet denoising methods for the strong background noise under the weak signal detection provides a new way. Platform: |
Size: 212992 |
Author:金振东 |
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Description: 图像的边缘是指图像中邻域灰度有显著变化
的像素的集合。它是图像的基本特征, 因此边缘检
测方法在图像处理中成为一个十分重要的课题。经
典的边缘提取方法是考察图像的每个像素在某个邻
域内灰度的变化, 利用边缘邻近一阶或二阶方向导
数变化规律, 用简单的方法检测边缘。但是, 因为边
缘和噪声都是高频信号, 因此许多经典边缘检测算
法很难在边缘和噪声中做出取舍。在众多的边缘检
测算子中, 算子因为具有优良的边缘检测能
力, 因此在图像处理中得到广泛应用。-The edge of the image refers to the neighborhood gray-scale images have seen a significant change
A collection of pixels. It is the basic feature of image, so the edge of the seizure
Measurement method in image processing has become a very important issue. By
Code extraction method is to investigate the edge of each image pixel in a neighborhood
Gray-scale changes in the region, using the edge of the neighboring first-order or second-order directional derivative
Changes of a few simple ways to detect the edge. However, because the edge
Edge and noise are high-frequency signals, so many of the classical edge detection operator
Law at the edge and noise it is difficult to make trade-offs. At the edge of a large number of seized
Son of measurement, because the operator has an excellent edge detection can
Force, so image processing is widely used. Platform: |
Size: 299008 |
Author:wangbin |
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Description: 本 文 首先 介绍了语音识别的研究和发展状况，然后循着语音识别系统的
处理过程，介绍了语音识别的各个步骤，并对每个步骤可用的几种方法在实
验基础上进行了分析对比。研究了语音信号的预处理和特征参数提取，包括
语音信号的数字化、分帧加窗、预加重滤波、端点检测及时域特征向量和变
换域特征向量.其中端点检测采用双门限法.通过实验比对特征参数的选取，
采用12阶线性预测倒谱系数作为识别参数。详细分析了特定人孤立词识别算
法，选定动态时间弯折为识别算法，并重点介绍其设计实现。
在 Vi su alC++环境下，设计并实现一个特定人、孤立词语音识别系统，
系统可以识别数字0-9等简单指令。该系统还具备演示、学习功能，可以演
示语音处理的各个步骤，还可以根据需要添加新的指令。
最 后 ， 重点从端点检测算法和动态时间弯折识别算法对系统进行改进。
实验表明，改进后的系统识别率有很大提高，达到95 ，为进一步开发实用
性语音识别系统产品打下了基础。-This article introduced the first speech recognition research and development, and then follow the voice recognition system
Processing, speech recognition, introduced the various steps, each step of the methods available in the real
A post-mortem conducted on the basis of the analysis and comparison. Research on the speech signal pre-processing and feature extraction, including
Digitized voice signals, sub-frame window, pre-emphasis filtering, endpoint detection feature vector in time domain and variable
Eigenvector for the domain. One endpoint detection method using dual-threshold. Through experiments over the selection of characteristic parameters,
The use of 12-order linear prediction cepstral coefficients as recognition parameters. Detailed analysis of the specific operator who isolated word recognition
Law, selected Dynamic Time Warping Algorithm for identifying and focusing on the achievement of its design.
In Vi su alC++ environment, design and realization of a s Platform: |
Size: 2491392 |
Author:周文超 |
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Description: 为了实现高速语音特征参数的提取，在分析了美尔频率倒谱特征参数提取算法的基础上，提出了算法的硬件
设计方案，介绍了各模块的设计原理。该方案增加了语音激活检测功能，可对语音信号中的噪音帧进行检测，提高了特征参
数的可靠性。-In order to achieve high-speed voice characteristic parameter extraction, in the analysis of Mel frequency cepstral feature extraction algorithm is proposed based on the algorithm the hardware
Design, describes the design principles of each module. The program increased the Voice Activity Detection feature, which allows voice signals to detect the noise frame to improve the characteristic parameters
The number of reliability. Platform: |
Size: 749568 |
Author:于高 |
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Description: 本文深入研究了复杂调制信号MPSK、MQAM的倍号子类以及常用恒包络信
号OQPSK、or／4 QPSK、MSK的调制识别披本。在鳆种基本调制识别方法即基于特征提取的方法和基于最大似然的方法的纂础上采用四种算法分别对上述信号进行识别研究。-This article studies the complex modulation signals MPSK, MQAM number of times and the common sub-class of constant envelope signals OQPSK, or/4 QPSK, MSK modulation recognition of this disclosure. Abalone species in the basic modulation recognition method that is based on feature extraction methods and maximum likelihood methods based on the Article on the foundation of four algorithms to identify each of these signals. Platform: |
Size: 2275328 |
Author:klq |
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Description: 用mfcc函数实现语音信号的特征提取，对提取数据进行分析 模式识别的一道例题-With MFCC function realization of speech signals to extract feature extraction and analysis of the data and pattern recognition of a sample
Platform: |
Size: 108544 |
Author:贺欢 |
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Description: 实现ECG和BCG信号采集和同步监测，对采集的信号进行了特征量提取并作出相应诊断，波形显示在液晶屏上。-Achieve ECG and BCG signal acquisition and simultaneous monitoring of the collected signals feature extraction and make the appropriate diagnosis, the waveform displayed on the LCD screen. Platform: |
Size: 882688 |
Author: |
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Description: 提取肌电信号的时域特征，ZC，WAMP，WL，SSC，RMS。以及特征的融合。肌电信号主要是采取了脚踝关节的六个动作。在动作识别中，时域的特征最常用，而且计算复杂度低，包含的信息也充分。(The time domain features of electromyographic signals were extracted, ZC, WAMP, WL, SSC, RMS. And the fusion of features. The electromyographic signal mainly involves six movements of the ankle joint. In motion recognition, time domain features are most commonly used, and the computational complexity is low, and the information contained is sufficient.) Platform: |
Size: 10240 |
Author:Jamsily |
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Search - signals feature extraction