搜索资源列表
voiceanalasis
- 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
SPECTRUM_LMS
- 1、文件夹中包含了经典功率谱估计和自适应均衡算法两个实验的所有程序。 2、R.m、LMS.m、LMSmain.m为自适应均衡算法的程序： R.m用来计算输入信号的自相关矩阵及其特征值； LMS.m为时域LMS算法，用统计的方法仿真得出不同信道参数和不同步长下的学习曲线； LMSmain.m为实验主程序，按照实验要求中的具体数据得到实验结果和曲线。 3、functionx.m、fzhouqitu.m、spectrum.m、bt.m、bart_lett.m、welch.m、SPE
PowerSpectralDensity
- 此程序由matlab实现,用于对语音信号的功率谱密度进行估计.希望能有所帮助.-this procedure from Matlab realized, for the speech signal power spectral density estimation. hope to be helpful.
数字基带信号及其功率谱
- 仿真源程序
TheCollectionofTheVoiceSignal
- 基于PC及声卡的声音信号的采集与分析，可以保存成WAV格式的声音信号，并可读取信号对其进行频谱，功率谱分析。-The voice signal based on the sound card of the collection and analysis
yuyinhecheng
- 本程序完成语音信号的识别与合成，语音信号功率谱与能量谱的分析。-This process is complete the identification and synthesis of speech signals, speech signal power spectrum and energy spectrum analysis.
SPC
- 信号处理源码，包含常用的各种滤波器，功率谱计算，Z变换，线性卷积等，C语言实现。-Signal processing source code that contains a variety of commonly used filters, power spectrum calculation, Z transforms, linear convolution and so on, C language.
SPF
- 信号处理源码，包含常用的各种滤波器，功率谱计算，Z变换，线性卷积等，FORTRAN语言实现。-Signal processing source code that contains a variety of commonly used filters, power spectrum calculation, Z transforms, linear convolution and so on, FORTRAN language.
SPM
- 信号处理源码，包含常用的各种滤波器，功率谱计算，Z变换，线性卷积等，Matlab实现。-Signal processing source code that contains a variety of commonly used filters, power spectrum calculation, Z transforms, linear convolution and so on, Matlab implementation.
virtual-sound-card-design
- 虚拟声卡设计，实现声音信号的生成以及对录制到的声音信号进行功率谱分析-Virtual sound card designed to achieve the sound signal is generated and the recorded sound signals to the power spectrum analysis
code
- 设计一个信号发生器,并同时画出信号的时域表 示，自相关函数及功率谱-Design of a signal generator and simultaneously draw the time domain representation of the signal, the autocorrelation function and the power spectrum