Coded-OQAMOFDM

说明：  walshl变换的定义的原代码（m）及说明文件（txt）。(the instruction(.txt) and defination(.m) of walsh transform )

the update data figure of nn net in signal processing, and it is the matlab code

用不加权的递推最小二乘法进行参数估计，用于系统辩适、仿真(Using non-weighted recursive least squares parameter estimation method for systems dialectical relevance, simulation)

用GUI实现对基带传输系统,最终得到误码率，和过程中的波形(realize the baseband tansmation of GUI)

通过小波分解的手段对时间序列信号进行降噪。内有英文说明书。 (The noise reduction of time series signals by means of wavelet decomposition . There are instructions in English.)

A method for extracting information about facial expressions from images is presented. Facial expression images are coded using a multi-orientation, multi-resolution set of Gabor filters which are topographically ordered and aligned approximately with the face.

说明：  用于时间序列的小波周期分析，matlab语言编写，运行可用(Wavelet period analysis for time series, written in matlab language, available for operation)

自适应时频频分析方法，具有界面操作，参数选择等功能，可以自由调入信号获得相应的自适应视频分析方法结果。(Adaptive time frequency analysis method,It can be used to give TFR of signal.)

说明：  基于灰色预测，指数平滑预测的几个MATLAB程序，对于预测类问题的数学建模，可以说是必备程序。我的导师给我传的。 funesm1,2,3分别为一二三次指数平滑预测程序 fungry为灰色预测程序 funcoef为时间序列预测程序 pudn为广大的编程爱好者提供了一个交流的平台，我在此先谢谢网站的工作人员，我也会努力编出好的程序，一起同大家分享。(Based on Gray predicted that the number of exponential smoothing forecasts MATLAB procedures, issues for the prediction of the mathematical modeling, can be said to be an essential procedure. My mentor gave me spread. funesm1, 2,3 were 123 times procedures fungry exponential smoothing forecast procedures funcoef gray prediction for time series forecasting procedures for pudn programming for the majority of fans provided a platform for exchange, I would like to thank the site staff, I will strive for a good program, to share together.)

國 立 清 華 大 學 碩 士 論 文 符合802.16 標準之通道模擬器之研製(Chapter 1 Introduction Chapter 2 Introduction of microscope effects Chapter 3 Introduction of macroscope and system effects .21 Chapter 4 Channel model simulation Chapter 5 Works before implementing the hardware Chapter 6 Hardware implementation Chapter 7 Conclusions and future directions )