WPBOF

说明：  这个是两个matlab的列子，一个是函数的微分设计，一个是函数的求导，希望对去学matlab的人有所帮助(there are two examples for matlab,one is designed for function differential,the other is designed for function derivative)

常微分方程求解过程！主要是使用matlab环境编译的！(ordinary differential equation solving process! Mainly use Matlab environment compiler!)

3GPP LTE-A Standardisation in Release 12 and Beyond

MATLAB高阶谱分析(Higher-Order Spectral Analysis )信号处理工具箱，有详细的安装说明。(MATLAB Signal Processing Toolbox higher order spectral analysis, a detailed installation instructions.)

该模型实现了一个通用的OFDM TX和RX，这是不依赖于任何特定的行业标准。该模型的目标是开发和研究不断（不是“突发”）载波同步和定时跟踪方案。该技术纳入然后可以扩展和修改，以标准的具体通讯套件。该模型采用了“收购”技术，它利用了循环前缀相关属性，以赶在试图完成罚款跟踪算法一帧的边界粗略的估计。该模型实现了一个16点64循环前缀的OFDM载波波形。在OFDM符号有16个飞行员，3后卫音（0，带边幅），并使用45 QAM的剩余数据流4。 这包括最新型的衰落信道，误码率计算，并改善控制回路动态。(This model implements a generic OFDM TX and RX, which is not tied to any particular industry standard. The objective of this model is to develop and explore a continuous (not “bursty”) carrier and timing tracking synchronization scheme. The techniques incorporated can then be extended and modified to suite specific communications standards. The model uses an “acquisition” technique that exploits the correlation properties of the cyclic prefix to get a rough estimate of the frame boundary before attempting to accomplish the fine tracking algorithms. The model implements a 64 carrier OFDM waveform with a 16 point cyclic prefix. The OFDM symbol has 16 pilots, 3 guard tones (0 amplitude at band edge) and uses 4 QAM for the 45 remaining data streams. This latest model includes a fading channel, BER computation, and improved control loop dynamics. )

成型滤波器法仿真平坦衰落信道，功率谱密度为经典谱(Simulation of the shaping filter method flat fading channel, power spectral density for the classical spectrum)

改进型最小二乘法在PMSM参数辨识中的应用(Improved least squares method in the PMSM parameter identification)

用于对matlab工具箱的介绍，讲述最优化工具箱的基本功能。(Matlab toolbox for the introduction, about the most basic functions of optimization toolbox.)

The code is for Classification using Gaussian Method on the Multi Variate Dataset with no missing values.

beam forming in matlab using m files