bitsprec

计算两组信号互信息熵值的算法，采用matlab编程，可直接调用函数(Two sets of signals calculated values of mutual information method, using matlab programming, call the function directly)

基于matlab的BOC信号的自相关函数，阶数n可以自定义，正余弦相位也可以自定义；CBOC的自相关函数程序(MATLAB based on, BOC_ACF, n_order,CBOC_ACF)

利用MATLAB实现OFDM的基本功能。效果不错(Use MATLAB to achieve the basic functions of OFDM. Good results)

夫琅禾费衍射的几个程序，有单缝衍射，多缝衍射，和矩孔的衍射。(Fraunhofer diffraction of several procedures, single-slit diffraction, multi-slit diffraction, diffraction and the moment the hole.)

Control vector parameterization, also known as direct sequential method, is one of the direct optimization methods for solving optimal control problems. The basic idea of direct optimization methods is to discretize the control problem, and then apply nonlinear programming (NLP) techniques to the resulting finite-dimensional optimization problem.

This book helps us understand the modal analysis and some methods to identify them through experiments

park变换与park反变换，引入三相正弦输入，在模拟示波器端查看波形，能够得到期望的效果(park and Inv_park)

Generate synthetic fMRI data

一个简单的例程，对仿真信号使用RLS算法进行自适应滤波(A simple routine of simulated signals using RLS adaptive filtering algorithms)

　　数字信号处理是一门以算法为核心，理论和实践性较强的学科。是电子信息工程、通信工程、电子信息科学与技术专业的一门重要的专业技术基础课。数字信号处理课程是在学习完数字信号处理的相关理论后，进行的综合性训练课程，其目的是： 1、使学生进一步巩固数字信号处理的基本概念、理论、分析方法和实现方法； 2、增强学生应用Matlab语言编写数字信号处理的应用程序及分析、解决实际问题的能力。(Digital signal processing is an algorithm as the core theoretical and practical strong discipline. Electronic and Information Engineering, Communication Engineering, Electronic Information Science and Technology, professional an important professional and technical basic courses. Digital Signal Processing is a comprehensive training course in learning digital signal processing theory, its purpose is: 1 to enable students to further consolidate the basic concepts of digital signal processing, theory, analysis and implementation enhance the students to apply the Matlab language to the application of digital signal processing and analysis, ability to solve practical problems.)