paprOFDMA

Space–time block coding is a technique used in wireless communications to transmit multiple copies of a data stream across a number of antennas and to exploit the various received versions of the data to improve the reliability of data-transfer. The fact that the transmitted signal must traverse a potentially difficult environment with scattering, reflection, refraction and so on and may then be further corrupted by thermal noise in the receiver means that some of the received copies of the data will be better than others. This redundancy results in a higher chance of being able to use one or more of the received copies to correctly decode the received signal. In fact, space–time coding combines all the copies of the received signal in an optimal way to extract as much information from each of them as possible.

研究了重频参差相参脉冲串的频率估计算法。通过脉内相关积累，提高了新序列的信噪比。对新序列的相位差按参差重数抽样平均，减小了等效的相位噪声方差，利用重频参差比解相位模糊，扩大了频偏允许范围，降低了算法的信噪比门限。分析了本算法实现相参频率估计的条件，推导了相应信噪比门限的解析表达式，指出了信噪比门限与信号样本总数、参差重数、参差比之阎的关系。仿真结果表明：上述结论是正确的，在满足信噪比门限条件下，频率估计的精度接近相参脉冲串频率估计的克拉美一罗限(CRLB)。(Frequency Estimation for Staggered Coherent Pulse Train)

the introduction to matlab is lecture of MIT. it is very good for beginner(the introduction to Matlab is lecture of MI T. it is very good for beginner)

MATLAB for speech coding using ADPCM

基于卡尔曼滤波的MATLAB 扩展程序，可以供大家参考下(Kalman filter-based MATLAB extension, for your reference)

本程序采用三步法实现了连续两帧图像的运动估计(The program uses three steps to achieve the two consecutive frames of the motion estimation)

说明：  MATLAB的300个应用实例，对初学者极有帮助，有益于掌握MATLAB的各种工具。(MATLAB Application of 300, very helpful for beginners, good for a variety of tools to master MATLAB.)

Fast search for Dirichlet process mixture models (This code implements the search algorithms (modulo a few minor changes) described in the Fast search for DPMMs paper at AI-Stats 2007. It should work out of the box with a reasonably recent version of matlab. Currently the code only contains the Dirichlet/Multinomial case, but the Gaussian case can be hacked in in about 5 minutes.)

是关于MATALB 神经网络与VB的混合编程,希望对大家有所帮助(On neural network MATALB mixed with VB programming, and they hope to help everyone)

MATLAB下使用viterbi算法进行卷积码的仿真范例。可以用任意配置的卷积码。testConv.m启动仿真，其中用了两种卷积码(一个1/2和一个2/3卷积码）。若要使用硬判决，需修改metric.m文件。其他就没有什么要改的了。解压即可使用。(Under viterbi algorithm using MATLAB simulation examples of convolution codes. Can be used in any configuration of the convolutional code. testConv.m start the simulation, which used two convolution code (a 1/2 and a 2/3 convolutional code). To use a hard decision, modify metric.m file. Nothing else would want to change it. Extract can be used.)