integrated pulses

wave simlation matlb example

本文首先概述了预编码技术的发展历史、基本原理和研究意义。重点介绍了预编码技术在LTE及LTE-A系统中的应用，最后对预编码技术的发展趋势做出预测及综合评论。(This paper outlines the history of pre-coding technology, the basic principles and significance. Focuses on the pre-coding technology in LTE and LTE-A system, and finally to make predictions and comprehensive review on the development trend of the pre-coding technology.)

synthetic aperture radar signal processing with matlab algorithms 英文书的附带源代码，书是全英文的，作者是Mehrdad Soumekh。我没有电子书，只有复印的。 此成像算法包括一维距离像、条带式、聚束式等多种模式的SAR成像。可以作为有一定SAR基础的同行的编程参考。 友情提供(synthetic aperture radar signal processing with matlab algorithms English books with source code, book is in English, the author is Mehrdad Soumekh. I do not have e-books, only a photocopy was made. The imaging algorithm includes a one-dimensional range profile, band type, spotlight SAR imaging a variety of modes. SAR can be used as the basis of a certain peer programming reference. Friendly offer)

SAA7121Hpal8bit master.rar 飞利浦编码芯片SAA7121H pal制式的内部寄存器配置文件 现在给大家共享 (SAA7121Hpal8bit master.rar Philips SAA7121H pal standard encoding chip internal register configuration file now to share)

源于谱分析的交通流预测，预测效果相当不错(From spectral analysis of traffic flow forecasting, prediction is quite good)

说明：  S变换，是当前比较流行的时频分析算法，可以用于地震数据时频分析和频谱分析(S Transform, written in MATLAB, can be used for seismic data processing)

Simulation of AR process

Algorithm Collections for Digital Signal Processing Applications using Matlab

互信息matlab, 混沌时间序列分析与预测工具箱 Version1.0 点这里下载: 混沌时间序列分析与预测工具箱 Version1.0 chaotic time series analysis and prediction matlab toolbox - version 1.0 1、该工具箱包括了混沌时间序列分析与预测的常用方法,有 (Mutual information matlab, chaotic time series analysis and forecast Version1.0 point toolbox here to download: Chaotic Time Series Analysis and Forecast of the toolbox Version1.0chaotic time series analysis and prediction matlab toolbox- version 1.01, the kit includes a chaotic time series analysis with the projected common method, there are)

LVQ神经网络的预测——人脸朝向识别的源程序及数据。用matlab程序编写。(LVQ neural network prediction- face towards the identification of the source code and data. Using matlab programming.)