Computer-arithmetic-algorithms

里面有论文,matlab的GUI源码,并结合了simulink(matlab is GUI,and simulink)

误码性能仿真,主要对二元通信系统的发送和接收端的符号是否一致作出计算，并得到误码率。(bite error simulation)

该文档一步步的描述如何将matlab源程序打包成可执行exe文件。(This document describes step by step how to make matlab source packaged into an executable exe file.)

这是关于matlab应用相关的文章，一些基本函数用法，以及相关的内容延伸，工具箱之类(This is about matlab application-related books, some of the basic functions usage, as well as related content extends toolbox like)

本代码是基于MIMO-OFDM系统下做的信道估计技术的研究。MIMO,OFDM是4G的核心技术，两者相结合的估计算法也是现在研究的热点。本代码包括几种核心的估计算法并可直接仿真出结果。(The code is based on MIMO-OFDM system channel estimation to do research. MIMO, OFDM is the core of 4G technology, a combination of both the estimation algorithm is now a hot research. The code includes several core estimation algorithm and simulation results directly.)

此算法描写了如何选择初始轮廓的位置，以及怎样控制初始轮廓的演化。(This algorithm describes how to select the location of the initial profile, and how to control the evolution of the initial contour.)

This is a MATLAB® instrument driver for use with v2.0 of the Instrument Control Toolbox™ and higher. It supports the Agilent E3648A power supply.

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

说明：  研究生时的现代信号处理作业，matlab编程，包括卡尔曼和维纳滤波(Graduate School at the time of operation of modern signal processing, matlab programming, including the Kalman and Wiener filtering)

PHD谐波分解，大家可以尝试下，希望对大家有所帮助(PHD harmonic decomposition, we can try, we hope to help)