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[Audio program] EER_DET DL : 0: DET Curve and EER computation
Date : 2025-12-25 Size : 390kb User : 姜卫武
[Audio program] digitalfilter DL : 0: 设计产生一个连续信号，包含低频，中频，高频分量，对其进行采样，进行频谱分析，使用矩形窗设计不同特性的数字滤波器对信号进行滤波处理，分析所设计滤波器(画出了频率特性曲线)，并对信号进行滤波，画出滤波后信号的时域波形和频谱，并对滤波前后的信号进行对比，同时设计出了一个友好的人机交互界面。-Designed to produce a continuous signal, including low frequency, medium frequency, high frequency components, its sampling, spectral analysis, using rectangular windows of different characteristics of digital filter design the signal filtering, analysis of the designed filter (to draw the frequency characteristic curve), and signal filtering, to draw the filtered signal in time domain waveforms and frequency spectrum, and filtering the signal before and after comparison, the mean time, a friendly interactive interface.
Date : 2025-12-25 Size : 75kb User : 楚乐
[Audio program] matlab_audio DL : 0: 基于matlab GUI的音频信息处理系统，具有声音录制、播放、暂停、渐弱、渐强、倒放、快放、回音、合成、滤波、变换声道、绘制波形曲线等功能-Matlab GUI-based audio information processing system, with sound recording, playback, pause, fade, gradually strong, rewind, fast release, echo, synthesis, filtering, channel change, drawing the waveform curve and other functions
Date : 2025-12-25 Size : 24kb User : tianyushi
[Audio program] PlSoundDemo DL : 0: 播放一个声音，可以根据自己的功能进行修改-the program show a voice curve
Date : 2025-12-25 Size : 2.97mb User : linxi
[Audio program] full-waveform DL : 2: 长源距声波全波列测井通过时间序列上的采样,使得纵波、横波和斯通利波波至在时间序列上产生了明显的分离,但分离的同时,横波和斯通利波等又叠加在纵波波形之上,从而使横波的提取变得比较困难。本文主要介绍和讨论了几种从声波全波列波形曲线中提取横波时差的方法,用于在声波全波列曲线中提取横波信息。相关对比法计算横波时差时,对于横波幅度较大而伪瑞利波幅度较小的地层,计算结果比较精确。长短时窗能量比法针对噪声、纵波、横波在速度、幅度、频率及相位上的差异来识别首波。慢度-时间相关法不受首波到达时间步长与慢度步长大小的影响,减少人为干预,处理结果稳定。 -The Calculation Analysis ofShear Wave Time Difference from Acoustic Full Waveform Logging Curve
Date : 2025-12-25 Size : 73kb User : ice
[Audio program] libogg DL : 0: 首先对输入音频PCM信号进行时频分析，决定MDCT的长度，即加窗，然后进行MDCT变换；同时对原始音频信号要进行FFT分析。两种变换的频谱系输入给心理声学模型单元，MDCT系数用于噪声掩蔽计算，H可结果用于音调掩蔽特性计算，共同构造总的掩蔽曲线。然后根据MDCT系数及掩蔽曲线，对频谱系数进行线性预测分析用LPC(Linear Prediction Coefficience，线性预测系数)表示频谱包络，即基底曲线(Floor Curve)；或通过线性分段逼近方式获得基底曲线。从MDCT系数中去掉频谱包络则得到白化的残差频谱(Residue)，由于残差频谱波动范围明显变小，从而降低量化误差。之后可以选择是否采用声道耦合(Channel Coupling)技术进一步降低冗余度，耦合主要是将左右声道数据从直角坐标映射到平方极坐标；最后对白化的残差信号有效地以矢量量化表示。最后将要传输的各种信息数据按Vorbis定义的包格式组装，形成Vorbis压缩码流。-First, the input audio PCM signal time-frequency analysis to determine the length of the MDCT, that windowing, then MDCT transform while the original audio signal to FFT analysis. Two Transformations spectral line input to the psychoacoustic model unit, MDCT coefficients used to calculate the noise masking, H can be used to tone masking characteristic calculation result, the overall structure of the common masking curve. Then according to the MDCT coefficient and the masking curve, spectrum analysis using linear prediction coefficients LPC (Linear Prediction Coefficience, linear prediction coefficients) represent the spectral envelope, ie the base curve (Floor Curve) or approaching the base curve obtained by linear segments. Removed the MDCT coefficients in the spectral envelope of the residual spectrum obtained albino (Residue), since the fluctuation range of the residual spectrum significantly smaller, thereby reducing the quantization error. Then you can choose whether to use cha
Date : 2025-12-25 Size : 494kb User : 张小