sDemo

matlab 入门基础知识，数字图像处理系列入门教材系列之一(Basic knowledge of introduction to matlab, digital image processing one of series of introductory textbook series)

Practical_Quiz_3 easy to understand

麦克风阵列的波束形成的算法，初学的可以参考一下。( Rear beamforming)

这个程序是计算WignerVille用到的，希望对你有用(This program is used in computing WignerVille you)

用wolfe——Powell原则实现一维不精确搜索(Imprecise search using the the wolfe- Powell principle of one-dimensional)

LZW编码和Huffman编码，MATLAB(LZW coding and Huffman coding，MATLAB)

改进RLS算法，能够递推的方式求mm维矩阵的逆，使运算量降低(Improvement of RLS algorithm, recursive manner to seek mm dimension of the inverse matrix to reduce computation)

DSL上行传输过程中，用户减少后重新估计信道的算法。(DSL upstream, the user re-estimate the channel reduction algorithm)

说明：  切比雪夫滤波器，切比雪夫I型滤波器设计，双通切比雪夫滤波(Chebyshev filter,Design of Chebyshev I filter, double pass Chebyshev filter)

说明：  实现多尺度熵的算法 多尺度熵（Multiscale entropy, MSE）将样本熵扩展到多个时间尺度，以便在时间尺度不确定时提供额外的观察视角。样本熵的问题在于它没有很好地考虑到时间序列中可能存在的不同时间尺度。为了计算不同时间尺度下信号的复杂性，Costa等人（2002,2005）提出了多尺度熵。(MultiScale Entropy There has been considerable interest in quantifying the complexity of physiologic time series, such as heart rate. However, traditional algorithms indicate higher complexity for certain pathologic processes associated with random outputs than for healthy dynamics exhibiting long-range correlations. This paradox may be due to the fact that conventional algorithms fail to account for the multiple time scales inherent in healthy physiologic dynamics. We introduce a method to calculate multiscale entropy (MSE) for complex time series. We find that MSE robustly separates healthy and pathologic groups and consistently yields higher values for simulated long-range correlated noise compared to uncorrelated noise.)