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tiqu
- 提取信号七个基于瞬时信息的特征:零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差,零中心非弱信号段瞬时相位非线性分量绝对值标准偏差,零中心非弱信号段瞬时相位非线性分量标准偏差,零中心归一化的非弱信号段瞬时频率绝对值的标准偏差,一个信号段的归一化瞬时频率功率谱密度的最大值,根据信号 QPSK 和16QAM在 XI 轴投影的不同表现,提出特征参数。-Extraction based on instantaneous information signal of seven
QPSK_16QAM
- 提取信号七个基于瞬时信息的特征:零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差,零中心非弱信号段瞬时相位非线性分量绝对值标准偏差,零中心非弱信号段瞬时相位非线性分量标准偏差,零中心归一化的非弱信号段瞬时频率绝对值的标准偏差,一个信号段的归一化瞬时频率功率谱密度的最大值,根据信号 QPSK 和16QAM在 XI 轴投影的不同表现,提出特征参数。-Extraction based on instantaneous information signal of seven
2DSPEC-2.0
- 谱元法地震波模拟研究,能够有效地进行波动方程处理和模拟-Spectral element simulation of seismic wave, wave equation can be efficiently processed and simulation
Higher_Order_Spectral_Analysis_(HOSA)_Toolbox
- 《matlab实例》有关高阶谱分析工具的实例源码,希望对大家有帮助。-" Matlab example of" higher order spectral analysis tools, the example of source code, we want to help.
344556775444
- 跟踪问题本质上是一个混合系统的状态估计问题[38】,即利用传感器的离散 观测来估计所感兴趣区域内目标个数和状态的过程,其中目标状态包括运动分量 (位置、速度、加速度)和属性信息(信噪比、谱特征,身份信息等)。目标跟 踪问题根据跟踪环境的不同可以分为单机动目标跟踪和多机动目标跟踪。-Tracking is essentially a hybrid system of the state estimation problem [38】, namely the use of sensors
origin
- 改程序利用基本的谱相减算法对含噪语音进行语音增强与去噪处理-Procedures used to change the basic spectral subtraction algorithm for speech enhancement of noisy speech with the denoising
wavelet-mallat
- 小波谱分析mallat算法经典程序,对原始信号进行低高频的信号分解以及重构,并且进行对比分析。-Algorithm for spectral analysis mallat small classic procedure, the original signal with low frequency signal decomposition and reconstruction, and compared.
noise
- 语音噪声压缩新算法,一种基于vad的语音噪声抑制方法。这种新算法源于vad 技术及谱减法,它先对含噪声信号进 行vad处理,而后是基于感知掩蔽阈值的谱减法运算,降低噪声,获得清晰的增强信号。与其它算法相比,其效果更好,语 音听测试证明了这一点。-New algorithm for speech compression noise, a noise reduction of speech based vad method. This new algorithm derived from v
Basicspectralsubtractionalgorithm
- 谱减法是语音增强的经典算法,程序对该算法进行了仿真-Spectral subtraction speech enhancement is a classical algorithm, the algorithm was simulated program
VariableNoisySpeechEnhancementAlgorithmPerformance
- 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
shangpu10
- 序列的最大熵谱的周期计算程序,经测试可以使用-Maximum entropy spectral sequence calculation program cycle, the test could be used
spectral_subtraction
- 谱减算法的MATLAB实现程序,附带带噪语音文件。wavread一行可以改成自己需要的语音文件和噪声文件,可以查看输入和输出信噪比-MATLAB spectral subtraction algorithm implementation process, with noisy speech files. wavread line can be changed to their needs and noise files voice files, you can view the input an
improved_SpectralSbutract
- 基于matlab的谱减算法的改进,仿真效果显示语音增强效果优于传统方法。-Matlab-based algorithm to improve the spectral reduction, speech enhancement simulation results show better than traditional methods.
xiaobo
- 语音增强算法及集中经典算法,小波变换法谱减法,滤波器法等-Speech enhancement algorithm and focus on the classical algorithm, wavelet transform spectral subtraction, filter method, etc.
76705441add_noise_and_SNR_measure
- 语音增强算法,谱减法,小波变换法,加噪声,纯净语音-Speech enhancement algorithm, spectral subtraction, wavelet transform, adding noise, clean speech
goertzelPartial
- Goertzel Alghoritm calculates the result for a single spectral component
11
- 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
speechenhance
- 基于谱减法的语音增强,重点在噪声的估计,效果还可以-Speech enhancement based on spectral subtraction, focusing on the estimated noise, the effect can also be
en
- 基于谱减法的语音增强 语音增强的主要目标,就是从带噪语音信号中提取尽可能纯挣的原始语音-Speech enhancement based on spectral subtraction speech enhancement main goal is to noisy speech signal from the extract of pure earn as much as possible the original speech
Spectrogram
- matlab中语谱图实现代码,语谱图表示语音信号随时间而变化的谱特性-matlab implementation code in the spectrogram, spectrogram that change over time speech signal spectral characteristics of