Python-GUI-Programming-using-Tcl[1]

with this mscripts we are enable to perform accurately pitch detection.first with short term zerocrossing and short term energy estimation analyses we find voiced regions and then with hps algorithm, find pitch values of utterance.

PV USEFULL FOR ANY SYSTEM

完整的NMF算法资料，有说明文件，有代码，也有运行案例。是非常不错的学习NMF的资料。(This is a NMF complete algorithm, including information, documentation, and the code, and also run case. This is a very good learning information of NMF.)

source code for apache project logging system

This is a model of a QPSK modulation system for transmission over a bandpass channel with fc = 100 Hz and B = 30 Hz and AWGN at the receiver. SRRC fi lters with excess bandwidth α = 0.18 are employed. The receiver includes an NDA timing recovery loop followed by a DD phase recovery loop. (This is a model of a QPSK modulation system f or transmission over a bandpass channel with fc = 100 Hz and B = 30 Hz and AWGN at the receiver. SRRC)

自然图像中往往含有大量噪声，这些噪声可能服从一定的统计规律，因此可以采用顺序统计方法，对这些噪声加以剔除。(naturalimages always have lots of noise,and the noise may obey some statistical regularity，so we can use order statistic to get rid of the noise.)

clear 从内存中清除变量和函数 exit 关闭MATLAB load 从磁盘中调入数据变量 pack 合并工作内存中的碎块 quit 退出MATLAB save 把内存变量存入磁盘 who 列出工作内存中的变量名 whos 列出工作内存中的变量细节 workspace 工作内存浏览器 (There is one outlier in the data of , but is not of data .For and the line of Q2 is in the middle of the box, so there are not asymmetries for both and .)

传统的宽带信号中抑制正弦干扰的方法是采用陷波器(notch filter),为此需要精确知道干扰正弦的频率.然而当干扰正弦频率是缓慢变化时,且选频率特性要求十分尖锐时,则最好采用自适应噪声抵消的方法.下图是用一个二阶FIR的LMS自适应滤波器消除正弦干扰的一个方案。该代码实现了以下功能： 1) 借助MATLAB画出了滤波器的误差性能曲面和误差性能曲面的等值曲线； 2） 给出了最陡下降法以及LMS算法的计算公式； 3） 用MATLAB产生了方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形； 4） 根据 2）中的公式，并利用 3）中产生的S(n)，在 1）中的误差性能曲面的等值曲线上叠加画出了采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线； 5）用MATLAB计算并画出了LMS法时误差随时间n的变化曲线（对应S(n)的某一次的一次实现）和e(n)波形； 6）在 1）中的误差性能曲面的等值曲线上，叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线； 7）最终对结果进行了分析，具体见压缩包的word文档。 (Wideband signal in the conventional sinusoidal interference suppression method is the use notch filter (notch filter), this requires precise knowledge of the frequency of a sinusoidal interference . However, when the interference frequency sinusoidal changes slowly , and the selected frequency characteristic requirements are very sharp , then best use of adaptive noise cancellation method . following figure is a second-order FIR LMS adaptive filter to eliminate a program sinusoidal interference . The code implements the following functions:   A ) draw with MATLAB error performance of the filter surface and the surface contour error performance curve 2 ) gives the steepest descent method and the LMS algorithm formula 3 ) generated using MATLAB variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform 4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour pl)

Audio Feature Extraction routine. this routine extracts the attack time of an audio source, by extracting the timing (sample) of the highest peak. The archive inclues a routine to extract the fft and display it. Requires Voicebox for matlab.

说明：  循环卷积 循环移位 matlab 编程 circonv，cirshift(circular convolution cyclic shift Matlab programming circonv, cirshift)