Chorus

calculate the approximate entropy of heart rate varibility

本程序的功能是将模型生成到word中的演示(The program s function is to generate a model to demonstrate in word)

对随机信号的功率谱估计，采用多重信号分类进行频率估计(Estimate of the power spectrum of random signals, signal classification using multiple frequency estimation)

this is a ebook on Circuit Analysis II with MATLAB

edge detection prewitt

本程序针对高通公司开发的IS-95通信系统，是一个相对完整的IS-95前向信道的仿真源程序，包括Viterbi编码，数据调制，基于RAKE接收机的解调，实现软判决输入的Viterbi译码等模块，并包括有误码率的计算和性能仿真显示。 (The procedure developed for Qualcomm IS-95 communication system, is a relatively complete IS-95 forward channel simulation source code, including Viterbi coding, data modulation, demodulation based RAKE receiver to achieve soft decision input Viterbi decoding modules, and includes a bit error rate performance computing and simulation show.)

该ppt详细的介绍了学习Matlab的基础知识和MATLAB的基本语法。(This ppt includes the foundational knowledges and grammer of MATLAB.This can make you learn MATLAB more easily.)

说明：  以上是关于超连续谱的一些英文资料，这些资料很好的介绍的超连续谱的成因，以及通过分布傅里叶方法模拟超连续谱形成的过程(These are some on supercontinuum information in English, the information super good introduction to the causes of a continuous spectrum, and by Fourier method simulation of the formation process of supercontinuum)

大量实验表明,提出的方法对同种传感器或者不同传感器图像之间的配准都是有效的。 提出了一种新的基于角点检测的图像配准方法,其核心思想是采用一种快速的 基于图像灰度的角点检测新算法,通过沿圆弧曲线扫描获取角点信息,然后根据这些 角点信息建立图像间角点的对应关系,并由此得到初配准参数,最后通过迭代过程以 提高配准的精度. 理论分析和实验结果表明,该算法对图像间的旋转角度没有限制, 配准精度高而且计算量较小. (Experiments show that the proposed method on the same kind of sensor or between the different sensor image registration is valid. A new corner detection based image registration method, the core idea is to use a fast gray-based new algorithm for corner detection, scanning through the curve along the arc for corner information, and then based on these corner information to establish image correspondence between the corners, and thus be the beginning of registration parameters, and finally through the iterative process to improve the accuracy of registration. Theoretical analysis and experimental results show that the algorithm is rotation between the image does not limit , registration accuracy and less computation.)

histogram equalization of image