Huffman_coding

前推回代配电网潮流程序源代码，并给出了计算实例(Forward and backward substitution power flow program source code, and calculation examples are given)

全变差去噪的标准matlab代码实现[ROF92],与Guy Gilboa的Texture preserving TV denoising [GSZ03] (total variation denoising standard Matlab code to achieve [ROF92] Guy Gilboa and the Texture preserving TV denoising [ GSZ03])

一个kalman滑模线性自抗扰算法案例，用于初学者学习，参考(A sliding linear kalman ADRC algorithm case for beginners to learn, reference)

三维血管重建——通过将文件转换为MATLAB矩阵，并缩取小矩形。。。(Three-dimensional vascular reconstruction)

基于Rao算法的光子计数检测及相关评价,详细介绍了光子的技术方法(Rao algorithm based on photon counting detection and related evaluation of the technical details of the method of photon)

一个fft的简单实现仿真的例程，画出频谱，观察信号的频谱。(An fft simple simulation routine to draw the spectrum, observed spectrum of the signal.)

耳蜗实质上相当于一个滤波器组，耳蜗的滤波作用是在对数频率尺度上进行的，在1000HZ下，人耳的感知能力与频率成线性关系；而在1000HZ以上，人耳的感知能力与频率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为(Cochlear substantially equivalent to a filter set, cochlear filter is used on logarithm frequency scale, under the 1000 hz, the perception of the human ear and a linear relationship with frequency In more than 1000 hz, the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula )

使用MATLAB编程，示意随机信号功率谱估计算法中的welch算法和Thomson多窗估计法MTM在估计随机信号功率谱时，参数改变对频谱图的影响。(This program indicate random signal power spectrum estimation using Welch algorithm and Thomson MTM estimation algorithm.)

一种求根music，高分辨谱估计算法，包含论文和代码(rooted music algorithm)

将MIT-BIH标准心电数据库中的数据读入到matlab中的程序(The MIT-BIH ECG database to read the procedure in matlab)