ldpc

Field 2 是丹麦理工大学（Technical University of Demark）的J.A.延森（Jorgen Arendt Jenson）开发的一款超声模拟软件，该软件基于线性声场理论， 其最基本概念是空间冲击响应，最早由Tupholme和Stepannishen等提出，空间冲击响应是一个和何置相关的函数，它与换能器上的激励信号卷积，可以得到发射波到焦点的任意一点的声场。换能器接收同波信号相当与发射的逆过程，将空间的反射点作为发射源，与接收换能器的空间冲击响应卷积，从而得到回波信号。(Field 2 is the Technical University of Denmark (Technical University of Demark) is an ultrasound simulation software JA Jensen (Jorgen Arendt Jenson) developed the software based on the linear sound field theory, the basic concept is the spatial impulse response, first by Tupholme and Stepannishen and other proposed space impulse response is a home-related functions and what its convolution with the excitation signal transducer, you can get any of the transmitted wave to the focal point of the sound field. Wave transducer receives a signal corresponding with the inverse process of transmission, the reflector point in space as a transmission source, and the receiving transducer spatial convolution of the impulse response, thereby obtaining the echo signal.)

计算数学当用常用的几个计算方法的matlab的程序代码，这些代码有时候比较有用(Computational Mathematics when using matlab several calculation methods commonly used program code, which is sometimes more useful)

matlab GUI 下简单的图书管理系统的小程序，包含有软件设计概要及用户手册，适合初学者入门。(matlab GUI for beginner)

matlab code for pv battery converter

find Optimal point of camel function with simulated annealing.

《Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing》书中计算L0范数的几种方法优劣比较。经典程序(" Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing" in the book are several calculation methods L0 norm Disadvantages. Classic program)

数据关联算法－PDA算法，能有效的跟踪目标-(Data association algorithm-PDA algorithm can effectively track the target-)

E-Book - Matlab Programming MATLAB - C Math Library Users Guide

说明：  基于粒子群算法求解低速车辆模型的非线性模型预测控制问题(The nonlinear model predictive control problem of low-speed vehicle is solved based on particle swarm optimization (pso))

qpsk通过信道信噪比估计，包括qpsk，8psk，16psk，16qam(qpsk through the channel SNR estimation)