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移相控制与过零检测,可控硅过零检测电路分析-Phase-shift control and zero-crossing detection, zero-crossing detection circuit SCR analysis
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In this paper we propose a method for voice
activity detection (VAD) in a speech signal recorded in the
presence of noise. The so-called endpoint detection (EPD),
i.e., detection of voice activity (speech) boundaries is very
difficult if the
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关于过零点检测的文章，个人感觉不错，与大家分享-Article on zero-crossing detection, personal feeling good, to share with you
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本文介绍了一种复合信号测量系统，该系统基于TMS320F2808实现，用来检测和重建复合频率信号中的主次信号。该系统由计算模块、重建模块和通讯模块组成。为了能在实时运行中自适应地确定采样频率，我们采取了“eCAP+AD”的方法，eCAP模块记录下整形后的复合信号的上升沿过零点时间值并估计出主频率，从而使系统能自动地选取合适的采样频率完成AD采样过程。系统采用了4096点的FFT算法，能够实现高达0.25Hz的频率分辨率，相对分辨率达到0.05 。-This paper introduces a
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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
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基于matlab的语音端点检测代码，研究参数短时能量和过零率-Matlab-based short-term energy and zero-crossing rate detection,
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基于matlab的语音端点检测方案设计，主要关于短时能量和过零率-Matlab-based short-term energy and zero-crossing rate detection,
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一种基于调制域分析的过零检测算法改进，克服了传统过零算法不能应用于某些信号的局限，有MATLAB仿真-Zero-crossing detection algorithm based on improved modulation domain analysis, to overcome the traditional limitations of the zero crossing algorithm can not be applied to certain signals, there are
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saber 过零检测模型 用于检测电网的电压相位和频率的电路-saber model for the voltage zero-crossing detection circuit detects the phase and frequency of the grid
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为了在实际应用中能够选择最佳的边缘检测方法，采用Matlab语言鳊程，将若干常用的边缘检测方法应用于花瓶边缘检测仿真实验．包括微分算子法(Robert算亍、Sobel算予、Prewitt算子和Kirseh算子)、高斯一拉普拉斯算子法、坎尼算子法、零交叉法和Frei—chen边缘检测法等,并进行了对比分析。-In practice, in order to be able to the best edge detection method using Matlab language bream
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基于MATLAB的语音端点检测短时能量matlab实现短时过零率matlab实现-Speech endpoint detection based on MATLAB short-time energy MATLAB short-time zero crossing ratio of MATLAB
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it is about voice activity detection.when we have a speech consists of voice and noise it detects the end points of voice by using energy and zero crossing rates.just specify your speech file path in code.
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