Dijkstra

该程序包括matlab中一些图形处理函数和数值计算函数(The program includes a number of graphics processing matlab function and numerical calculation function)

对已知的数据进行勒让德多项式拟合，并求出计算点的函数值(Fitting the known data with Legendre polynomial and findding the function value at calculated point)

ics lms matlab model

此代码为本人运用视频读取函数实现视频帧的读取，并可批量转为BMP等格式，另有运动目标静止背景的提取。内附说明文档，欢迎交流。(this code for the use of video I read function video frames to read and can volume to BMP format. another campaign goal from the background static. Enclosing documentation, welcomed the exchange.)

doa估计经典capon算法, 简单波达方向估计算法,空间角度分辨率有限,有待进一步改进算法(doa estimation algorithm capon classic, simple DOA estimation algorithm, space limited angular resolution, need to be further improved algorithm)

EZW2 (NEW version of EZW)

types of boilers and industrial used

说明：  对数字车牌的识别，详细揭示了过程，并提供了实验报告。(Digital license plate recognition, in detail reveals the process and provide an experimental report.)

读入指定的音频序列，并对其进行无损预测编码和DM调制编码(Read into the specified audio sequences, and its lossless predictive coding and modulation coding DM)

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.)