Description: 伪魏格勒分布源代码.适合于非稳态的时频联合分析,可直接用于MATLAB编程,无解压密码.-pseudo-source code distribution. Suited to the non-steady-state joint time-frequency analysis can be used directly in MATLAB programming, without extracting passwords. Platform: |
Size: 2322 |
Author:王杜 |
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Description: 逆短时傅立叶变换源代码.适合于非稳态的时频联合分析,可直接用于MATLAB编程,无解压密码.-inverse Fourier transform source code. Suited to the non-steady-state joint time-frequency analysis can be used directly in MATLAB programming, without extracting passwords. Platform: |
Size: 1586 |
Author:王杜 |
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Description: 时频分布显示源代码.适合于非稳态的时频联合分析,可直接用于MATLAB编程,无解压密码.-time-frequency distribution shows that the source code. Suited to the non-steady-state joint time-frequency analysis can be used directly in MATLAB programming, without extracting passwords. Platform: |
Size: 5531 |
Author:王杜 |
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Description: 读取语音信号（用matlab的wavread指令），把语音信号分帧、加窗，进行清浊分割，提取基
频，这一部分较简单，自己编程序做。参考文献自己到图书馆期刊网上查找。
提取语音信号的lpc参数，可调用lpcfit.m 程序（我提供，见附件），将源、目标语音的浊音
段的lpc系数进行DTW规整，调用pathita2.m 程序（我提供，见附件）。将规整得到的lpc系数
转换成lsp参数，调用lpcar2ls.m 程序（我提供，见附件）， 再进行转换映射，调用matlab
的指令newrbe。-read the speech signal (using Matlab wavread Directive), Voice Signal frames, Windowed, Qingzhuo segmentation, extracting fundamental frequency, this part is relatively simple, they programmed to do. References their online journals to the library search. Voice Signal Extraction lpc parameters can be called lpcfit.m (I provide, see Annex), the source, Voiced objective voice of the lpc coefficient DTW structured, Call pathita2.m (I provide, see Annex). Structured to the lpc lsp conversion coefficient parameters, calling lpcar2ls.m (I offer see Annex), the shift mapping, called the directive newrbe Matlab. Platform: |
Size: 3928 |
Author:韦敏 |
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Description: 伪魏格勒分布源代码.适合于非稳态的时频联合分析,可直接用于MATLAB编程,无解压密码.-pseudo-source code distribution. Suited to the non-steady-state joint time-frequency analysis can be used directly in MATLAB programming, without extracting passwords. Platform: |
Size: 2048 |
Author:王杜 |
Hits:
Description: 逆短时傅立叶变换源代码.适合于非稳态的时频联合分析,可直接用于MATLAB编程,无解压密码.-inverse Fourier transform source code. Suited to the non-steady-state joint time-frequency analysis can be used directly in MATLAB programming, without extracting passwords. Platform: |
Size: 1024 |
Author:王杜 |
Hits:
Description: 时频分布显示源代码.适合于非稳态的时频联合分析,可直接用于MATLAB编程,无解压密码.-time-frequency distribution shows that the source code. Suited to the non-steady-state joint time-frequency analysis can be used directly in MATLAB programming, without extracting passwords. Platform: |
Size: 5120 |
Author:王杜 |
Hits:
Description: 读取语音信号（用matlab的wavread指令），把语音信号分帧、加窗，进行清浊分割，提取基
频，这一部分较简单，自己编程序做。参考文献自己到图书馆期刊网上查找。
提取语音信号的lpc参数，可调用lpcfit.m 程序（我提供，见附件），将源、目标语音的浊音
段的lpc系数进行DTW规整，调用pathita2.m 程序（我提供，见附件）。将规整得到的lpc系数
转换成lsp参数，调用lpcar2ls.m 程序（我提供，见附件）， 再进行转换映射，调用matlab
的指令newrbe。-read the speech signal (using Matlab wavread Directive), Voice Signal frames, Windowed, Qingzhuo segmentation, extracting fundamental frequency, this part is relatively simple, they programmed to do. References their online journals to the library search. Voice Signal Extraction lpc parameters can be called lpcfit.m (I provide, see Annex), the source, Voiced objective voice of the lpc coefficient DTW structured, Call pathita2.m (I provide, see Annex). Structured to the lpc lsp conversion coefficient parameters, calling lpcar2ls.m (I offer see Annex), the shift mapping, called the directive newrbe Matlab. Platform: |
Size: 4096 |
Author:韦敏 |
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Description: 基音提取程序，对于给定一段语音，按一定时间分帧,并从中提取出基音频率-Pitch extraction process, for a given period of voice, according to a certain time-frame, and extracting the pitch frequency Platform: |
Size: 8241152 |
Author:林平塔 |
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Description: 借助小波变换在时频分析上的优点，提取地面运动目标的回波信号特征在目标识别中加以运用-With wavelet transform in time-frequency analysis of the advantages of extracting ground moving target echo signal characteristics to be used in target recognition Platform: |
Size: 165888 |
Author: |
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Description: 利用自适应滤波法研究从宽带信号中提取单频信号的方法-Adaptive filtering of broadband signals from a single frequency signal extracting method Platform: |
Size: 1024 |
Author:chdh |
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Description: 通信信号的调制信息包含在信号的瞬时幅度、相位、频率的变化之中，不同的信号其频谱也呈现不同的特征，通过提取瞬时幅度、相位、频率以及频谱的参数统计特征，可以识别不同的通信信号。通常是利用对瞬时幅度、瞬时相位，瞬时频率和信号功率谱进行某种变换而得到可以明显区分各种信号的特征参数。-Communication signal modulation information is contained in the signal instantaneous amplitude, phase, frequency changes, the spectrum of different signals also show different characteristics, by extracting the instantaneous amplitude, phase, frequency and statistical characteristics of the parameters of the spectrum, you can identify different communication signals. Usually by the use of instantaneous amplitude, instantaneous phase, instantaneous frequency and signal power spectrum a transformation which can be clearly distinguished by the characteristic parameters of various signals. Platform: |
Size: 4096 |
Author:JIA |
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Description: 为进一步细化频谱，提取有效的时频特征值，将信号进行局域波分解，本程序为主要程序-For further specified spectrum, extracting effective time-frequency characteristic value, signal will be decomposed with local wavelet. Platform: |
Size: 1024 |
Author:阿兰 |
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Description: 从excel中提取数据，应用小波包分解提取特征频段能量值的matlab程序(Extracting data from excel, the wavelet packet is used to decompose the matlab program that can measure the value of the feature frequency) Platform: |
Size: 11264 |
Author:高高2016
|
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Description: 对信号进行分析和处理时，常遇到有用信号被噪声污染的问题。因此，从信号中消除或减弱噪声，成为信号传输与处理中十分重要的问题。根据有用信号与噪声的不同特性，消除或减弱噪声，提取有用信号的过程称为滤波。实现滤波功能的系统或装置称滤波器。
经典的滤波器是具有选颁特性的电路，当噪声与有用的信号具有不同的频带时，它们通过滤波器后，噪声将被衰减乃至消除，有用的信号得以保留。
当噪声与有用信号的频带重叠时，上述滤波器(或称为经典滤波器)就无法实现既消除噪声，又保留信号的功能。(When analyzing and processing signals, we often encounter the problem that useful signals are polluted by noise. Therefore, eliminating or reducing noise from signals has become a very important problem in signal transmission and processing. According to the different characteristics of useful signal and noise, the process of eliminating or weakening noise and extracting useful signal is called filtering. The system or device that realizes filtering function is called filter.
Classical filters are circuits with selective characteristics. When noise and useful signals have different frequency bands, they will be attenuated or even eliminated after passing through the filter, and useful signals can be retained.
When noise overlaps with the frequency band of useful signals, the above filters (or classical filters) can not achieve the function of both eliminating noise and retaining signals.) Platform: |
Size: 221184 |
Author:tktw |
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