Description: 运用matlab工具对语音信号处理的几个方面：短时能量、端点检测、和功率谱及短时傅立叶变换特性作了简单的分析。-use Matlab tool for voice signal processing areas : short-term energy and endpoint detection, and the power spectrum and the characteristics of short-time Fourier transform with a simple analysis. Platform: |
Size: 1211 |
Author:王珠 |
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Description: 傅立叶计算以及短时傅立叶计算、功率谱分析及各自图形-Fourier calculation and short-time Fourier, power spectrum analysis and their own graphics Platform: |
Size: 838 |
Author:yang tie |
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Description: 运用matlab工具对语音信号处理的几个方面：短时能量、端点检测、和功率谱及短时傅立叶变换特性作了简单的分析。-use Matlab tool for voice signal processing areas : short-term energy and endpoint detection, and the power spectrum and the characteristics of short-time Fourier transform with a simple analysis. Platform: |
Size: 1024 |
Author:王珠 |
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Description: 傅立叶计算以及短时傅立叶计算、功率谱分析及各自图形-Fourier calculation and short-time Fourier, power spectrum analysis and their own graphics Platform: |
Size: 1024 |
Author:yang tie |
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Description: 基于matlab的功率谱分析以及短时傅立叶变换-Matlab based on the power spectrum analysis as well as the short-time Fourier transform Platform: |
Size: 1024 |
Author:hp |
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Description: ：该文首先研究了单认知用户能量检测算法的检测性能和检测灵敏度与检测时长和噪声短时间内平均功率波
动性之间的关系，得出检测性能和检测灵敏度随噪声短时间内平均功率波动性的增大而急剧下降的结论，在低信噪
比时尤为明显；针对检测性能和检测灵敏度随噪声短时间内平均功率波动性的增大而急剧下降，提出了基于多用户
协同能量检测算法。仿真表明，在低信噪比环境下，即使噪声短时间内的平均功率存在较大的波动性，只要适当地
增加协同检测的用户数，仍可获得较为准确的检测性能。-In this paper, detection performance and detection sensitivity with detection duration and noise average
power fluctuation in short time is investigated firstly. Performance accuracy and detection sensitivity drop quickly
with noise average power fluctuation increasing and it is worse when signal-to-noise ratio lower. Considering the
characteristic, a novel new energy detection algorithm based on cooperative is presented. Simulations show that
the proposed scheme improves antagonism of noise average power fluctuation in short time and gets a good
detection performance as long as increasing the number of cooperative detection users. Platform: |
Size: 606208 |
Author:刘德龙 |
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Description: 利用功率谱估计及ＩＦＴ数字滤波及短时傅里叶变换等手段对声音信号进行处理-Use of the means of power spectrum estimation and IFT digital filtering and short time Fourier transform , such as the sound signal processing
Platform: |
Size: 287744 |
Author:wanghusangyi |
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Description: 完成对一段语音信号的短时分析，语音信号要包括清音、浊音和无声段，求其短时平均能量、短时平均过零率、短时自相关函数和短时功率谱；-Complete short-term analysis of a voice signal, the specific requirements: a voice signal to include the voiceless, voiced, and silent segments 2, find its short-term average energy, short-time average zero crossing rate, short-term autocorrelation function and short-term power spectrum 3, drawing, and the differences in the comparative analysis of three types of audio signals in the four short-term parameters 4, estimated using short-time autocorrelation voiced fundamental frequency using matlab to write and draw Platform: |
Size: 2048 |
Author:houjam |
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Description: 语音信号短时傅里叶变换后，然后进行短时功率谱的计算-Speech signal short-time Fourier transform, and the power spectrum calculated for a short time Platform: |
Size: 1024 |
Author:cheerlver |
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Description: For restoration of time-domain signals, an
estimate of the instantaneous magnitude spectrum is combined with the
phase of the noisy signal, and then transformed via an inverse discrete
Fourier transform to the time domain. In terms of computational
complexity, spectral subtraction is relatively inexpensive. However, owing
to random variations of noise, spectral subtraction can result in negative
estimates of the short-time magnitude or power spectrum-For restoration of time-domain signals, an
estimate of the instantaneous magnitude spectrum is combined with the
phase of the noisy signal, and then transformed via an inverse discrete
Fourier transform to the time domain. In terms of computational
complexity, spectral subtraction is relatively inexpensive. However, owing
to random variations of noise, spectral subtraction can result in negative
estimates of the short-time magnitude or power spectrum Platform: |
Size: 126976 |
Author:ngocan |
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Description: 短时傅里叶变换程序，实现短时傅里叶变换的快速实现，绘制时间频率功率谱图。-Short time Fourier transform program, the realization of short time Fourier transform to achieve fast, draw time frequency power spectrum. Platform: |
Size: 2048 |
Author:li yao |
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Description: 采用MATLAB 2015b综合运用各种函数调用等来实现语音信号时域的短时能量，短时过零以及短时自相关函数分析和频域的傅里叶变换，功率谱估计，短时傅里叶变换，小波分析，语音信号的短时综合，语谱图各种分析，充分了解熟悉语音信号的相关分析方法。(This experiment uses the MATLAB 2015 b, the integrated use of various kinds of function call to realize speech signal in time domain of short-time energy and short-time zero crossing and short-time autocorrelation function analysis and frequency domain Fourier transform, power spectrum estimate, short-time Fourier transform, wavelet analysis, the short synthesis speech signal, the spectra of various analysis, fully understand the familiar voice signal correlation analysis method.) Platform: |
Size: 417792 |
Author:Liu0_
|
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Description: Winger-Ville分布和短时三维功率谱阵，相关matlab算法及代码(Winger Ville distribution and short-time three-dimensional power spectrum array) Platform: |
Size: 2461696 |
Author:hanrymg |
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Search - short time power spectrum