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yuyinfenxi
- 利用自相关或平均幅度差提取基音原理,帧长160,帧移80。求能量E、过零率Z和基音周期pitch;采用自相关法或平均幅度差法求取基音周期,基音周期范围(80~400hz);画出能量、过零率和基音曲线。(Pitch principle is extracted by means of autocorrelation or mean amplitude difference)
语音信号处理
- 采用MATLAB 2015b综合运用各种函数调用等来实现语音信号时域的短时能量,短时过零以及短时自相关函数分析和频域的傅里叶变换,功率谱估计,短时傅里叶变换,小波分析,语音信号的短时综合,语谱图各种分析,充分了解熟悉语音信号的相关分析方法。(This experiment uses the MATLAB 2015 b, the integrated use of various kinds of function call to realize speech signal in time dom
polyphase correlation
- 常见多相码自相关函数的求解及性能分析(Solution and performance analysis of autocorrelation function of common polyphase codes)
feature extraction
- 自己根据公式编写的颜色矩特征,纹理空间自相关函数特征(The color moment feature and texture space auto correlation function feature written by the formula.)
MPU6050资料V5
- MPU6050六轴加速度传感器的相关资料,以及C语言例程,可以应用在自平衡小车上。(MPU6050 six-axis acceleration sensor of the relevant information, and C language routines, can be applied to self-balancing car.)
PWKD
- matlab编写,语音处理中求LPC系数的自相关程序,(In matlab, and speech processing for LPC coefficients autocorrelation procedure,)
train
- 基于BP网络和多特征的语音端点检测,提取自相关函数最大值和频带方差作为BP网络输入,输出判断是否为语音信号。(A Speech Endpoint Detection Algorithm Based on BP Neural Network and Multiple Features)
栈式自编码器相关程序
- 使用栈式自编码器实现光学图像的自动识别,程序完整,程序中已经包括训练和测试使用的样本,程序运行结果良好,适合进行机器学习的同行进行学习和研究。(Use the stack automatic recognition, optical image encoder to achieve self program integrity, training and testing samples have been used including program, program operation res
guheric-hierarchy
- 人体脑信号波形检测与分析,包含自相关,功率谱分析的方法(Human brain signal detection and analysis, including autocorrelation, the method of power spectrum analysis)
freRecovery
- 用于根据线性调频,相位编码等信号的时域波形计算相应的瞬时频率和自相关函数(The corresponding instantaneous frequency and autocorrelation function are calculated according to the time domain waveform of linear frequency modulation, phase encoding and other signals)
Arcgis with R
- R语言作空间计量,主要涉及空间权重、空间自相关分析,附各命令的中文解说。(spatial measurement by R)
纹理特征提取
- MATLAB实现图像纹理特征提取:自相关函数法、灰度共生矩阵、分数阶傅里叶变换。GUI界面。运行后可自定义自相关函数的x和y轴偏移,灰度共生矩阵的距离和角度,分数阶傅里叶变换的阶数。输出相应的特征图。(MATLAB realize image texture feature extraction: autocorrelation function method, gray co-occurrence matrix, fractional Fourier transform. GUI interf
ARMA-Java--master
- ARIMA模型是通过将预测对象随时间推移而形成的数据序列当成一个随机序列,进而用一定的数学模型来近似表述该序列。根据原序列是否平稳以及回归中所包含部分的不同分为AR、MA、ARMA以及ARIMA过程。 在模型的使用过程中需要根据时间序列的自相关函数、偏自相关函数等对序列的平稳性进行判别;而对于非平稳序列一般都需要通过差分处理将其转换成平稳序列(ARIMA);对得到的平稳序列进行建模以确定最佳模型(AR、MA、ARMA或者ARIMA)。在使用中最重要也是最关键的就是对序列进行参数估计,以检验其
find_pitch_ltp.M
- 利用自相关法,计算基音周期,结果给出对应的时间值坐标。(The pitch period is calculated by the autocorrelation method, and the corresponding time value coordinate is given.)
line_Theilsen
- 用于去除信号自相关关系拟合,Theilsen拟合能够在不考虑信号自相关情况下对信号进行相关分析(For linear fitting of functions, Theilsen can be used to remove signal autocorrelation components)
spectrum
- Python 谱分析代码 包括自相关分析,滤波器等功能(Python spectral analysis code)
提取语音信号基频
- 用自相关函数提取语音信号基频,提取音频文件的基频等高线(Use the autocorrelation function on segments of the signal (windowsize: 100ms) and compute the fundamental frequency. Use a max_time_lag of 100ms in the autocorrelation function and a window shift of 25ms. Create a fundame
CA code
- C\A 码的产生,以及自相关,互相关函数,画出自相关互相关图(MATLAB语句简单易懂,适合新手)(C\A code generation, as well as autocorrelation, cross-correlation function, drawn from the correlation cross correlation diagram (MATLAB statement, easy to understand, suitable for novices))
filter
- 利用窗函数法设计FIR滤波器,绘制出滤波器的特性图。利用所设计的滤波器对多个频带叠加的正弦信号进行处理,对比滤波前后的信号时域和频域图,验证滤波器的效果。最后录制或下载一段语音信号,对其进行采样和加噪,然后用设计滤波器对加噪后信号进行滤波,绘制出信号的时域波形和频谱,分别计算均值、方差、自相关函数、功率谱,并对滤波前后的信号进行对比。(Using window function design FIR filter, draw the filter characteristic diagram.
Autocorrelation
- 编写MATLAB程序,产生协方差函数为C(τ)=9??^(?10|??| )的零均值平稳高斯过程,产生一条样本函数.测量所产生样本的时间自相关函数,将结果与理论值比较。(Procedures for the preparation of MATLAB produced C covariance function (tau) =9^ (- 10||) zero mean stationary Gauss process to produce a sample function. Measuring