搜索资源列表
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用于信号检测方面的,用在高阶谱估计中,很有用的函数-for signal detection, the use of higher-order spectrum estimation, a very useful function
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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 analysi
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关于希尔伯特黄频谱的计算程序,提取的频谱信息可用于语音识别、故障检测等。-on Hilbert Huang spectrum calculation procedures to extract information of the spectrum can be used for voice recognition, fault detection.
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频谱方差在语音信号端点检测中的应用,matlab程序,实用。-spectrum of the voice signal variance endpoint detection, the application procedures Matlab and practical.
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基于语音频谱分析的重要性以及众多端点检测的算法以示其重要性,Based on the importance of voice spectrum analysis and the various endpoint detection algorithm to show its importance
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端点检测(短时能量,短时平均幅度,短时过零率),short-term spectrum,spectrogram,End point detection
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语言处理过程中的端点检测,频谱分析,加重及去噪增强处理的MATLAB源程序和结果,语音文件改成自己的即可(采样点匹配)。-Language processing, endpoint detection, spectrum analysis, emphasis and de-noising and enhancement results of the MATLAB source code, voice files can be changed to your own (matched sample
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基于子带频谱墒的语音端点检测程序,程序思路清晰易懂-Based on the sub-band spectrum entropy Speech Endpoint Detection procedures, procedures clear and understandable
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基于谱减法的语音端点检测,运用了语音增强,去噪,谱减,加窗,端点检测等方法-Spectral subtraction based speech endpoint detection, using a speech enhancement, denoising, minus spectrum, add windows, endpoint detection methods such as
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Harmonic Product Spectrum (HPS) algorithm for pitch detection.
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自己遍的一种用于单字音识别的端点检测代码,首先做mfcc,再利用功率谱的峰值作为语音的方法,结果给出的是有效的mf-For their kind words over the sound identification of endpoint detection code, using the energy spectrum of the peak short-sighted approach as a voice
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语音信号处理的一些函数,包括:短时谱、短时能量、短时过零率和端点检测。-Some of voice signal processing functions, including: short-term spectrum, short-term energy, short-time zero crossing rate and endpoint detection.
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语音增强是影响语音识别系统性能的重要成分。为了比较语音增强算法的性能,采用Matlab软件进行了数值仿真,对不同噪声环境下的语音用3种不同的方法进行降噪,采用信噪比、端点检测等方法来降噪效果,并对几种增强算法的性能进行了比较分析。结果表明,在变噪声环境下短时谱MMSE法最佳,谱减法和维纳滤波法各有优点。-Speech enhancement of voice recognition is an important component of system performance. In order
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为提高语音端点检测系统在低信噪(0 dB 以下) 下
检测的准确率, 提出了一种基于谱熵的端点检测算法。将每
帧信号分为16 个子带, 选取频谱分布在250~ 3. 5 kHz 并且
能量不超过该帧总能量90 的子带, 计算经过语音增强后的
子带能量以及各子带信噪比, 根据各子带信噪比的不同调整
其在整个谱熵计算过程中的权重, 然后平滑谱熵, 以最终的
谱熵作为端点检测的依据-To improve endpoint detection system in the low
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语音信号的频域分析,包括短时谱,倒谱,LPC谱的程序,以及端点检测的程序-Voice signals in the frequency domain analysis, including short-time spectrum, cepstrum, LPC spectrum procedures, as well as the endpoint detection procedures
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魏凤英的现代气候统计诊断与预测技术的fortran源代码,里边包括气候变化趋势分析的程序:线性倾向估计、滑动平均及一些趋势检验和函数;气候突变检测:滑动t检验、Cramer s法、Yamamoto法、Mann-Kendall法、Pettitt法Lepage法;气候序列周期的提取方法:功率谱、最大熵谱、交叉谱、多维最大熵、奇异谱分析、小波分析;以及EOF、主成分等等,总之熟悉这本书的同学,应该知道这本书的“强大”是做数理统计分析、及气象等必备的工具书啊,而且其程序,尤为宝贵!特此与大家分享-Wei
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频谱感知技术中的能量检测技术的程序代码仿真-Spectrum sensing technology in the energy detection code simulation
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LabVIEW心电检测系统,主要是滤波 信号采集 频谱分析 显示波形等-LabVIEW ECG detection system is mainly filtered signal acquisition spectrum analysis shows waveforms
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一种分布式协同优化的认知无线电频谱检测技术研究源程序-A study of the cognitive radio spectrum detection technology of distributed collaborative optimization source program
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认知无线电频谱感知中的单用户频谱感知的主要三种方法:能量检测,循环平稳特征检测,匹配滤波器检测 的matlab实现的源代码-cognitive radio spectrum sensing:Energy detection, cyclostationary feature detection, matched filter detection 。matlab the source code
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