kalman.txt

compass 03 digital compass module simulation

用matlab仿真（7,4）汉明码的编码及硬判决译码过程(Matlab simulation (7,4) Hamming code encoding and hard decision decoding process)

用matlab实现录音放音，播放祝你生日歌，附说明文档。。(Implementation of audio playback using MATLAB, player I wish you a birthday song, with documentation)

本算法在Matlab2008b 环境下实现了立体视觉中摄像机的基础矩阵计算。包括main, sevenPoint、eightpoint 和eightpoint_norm三个函数。 main.m 是程序的入口，包括生成和读入实验数据，分别调用sevenPoint、eightpoint 和eightpoint_norm 三个函数求基础矩阵，最后绘制出最后的结果。sevenPoint.m 是用7 点法求解基础矩阵。eightpoint.m 是用8 点法求解基础矩阵，eightpoint_norm.m 是数据规格化后的8 点法求解基础矩阵。(The algorithm is implemented in Matlab2008b environment based stereo vision camera matrix calculations. Including the main, sevenPoint, eightpoint and eightpoint_norm three functions. main.m is the entry, including the generation and reading test data were calling sevenPoint, eightpoint and eightpoint_norm three fundamental matrix function evaluation, and finally draw the final result. sevenPoint.m 7 method is based on matrix. eightpoint.m 8-point method is based on matrix, eightpoint_norm.m the data after the 8-bit normalized fundamental matrix method. )

说明：  关于有限长冲击响应数字滤波器的matlab设计(On the finite impulse response digital filter design matlab)

使用深度神经网络解决无线网络中资源分配问题(Using deep neural networks to solve the problem of resource allocation in wireless networks)

无线传感器网络的一个最新发展情况，概述了其发展过程以及最新发展方向(One of the latest developments in the case of wireless sensor networks, an overview of the development process as well as the latest development direction)

本程序为小波在矩阵方程求解中的应用例程。(This procedure for the wavelet in the matrix equation in the application of routine)

指数平滑法是对时间序列进行预测常用的方法之一,其理论基础是趋势外延，即未来一定时期内事物在数量上的演变特征不脱离过去的发展趋势,预测值是以前所有观测值的加权和,且对不同的数据给予不同的权数,越近期数据给予越大的权数,越远期的数据给予越小的权数。(Exponential smoothing method is commonly used to predict the time series one of the ways, the theoretical basis of the trend of the extension, that is, a certain period of time what the next evolution in the number of characteristics are not out of the development trend of the past to predict the value of all previous observations is the weighted and, on different data and different weights given to more recent data to give greater weights, the more long-term data to give the smaller weights.)

Extraction of background