仿真程序-先进控制系统设计方法

Embedded vc++下开发的导航系统-developed navigation system

说明：  MATLAB实现语音信号加噪，设计滤波器实现去噪，包括低通，高通，带通(Realization of Speech Signal Noise and Denoising by MATLAB)

FE内容付费系统可应用于付费阅读文章、付费看图片、付费下载、付费视频播放、付费音频播放的网站建设。自带手机版、电脑版，支持微信、QQ等移动端应用访问与分享。功能和模板可通过插件形式扩展。(FE Content Payment System can be applied to the construction of websites that pay to read articles, pay to see pictures, pay to download, pay to play video, pay to play audio. With its own mobile version, computer version, support Weixin, QQ and other mobile applications access and sharing. Functions and templates can be extended as plug-ins.)

说明：  介绍了6G前言技术，发展及其应用。对通信网络下一步演进有着非常重要的意义。(This paper introduces 6G foreword technology, development and application. It is very important for the next evolution of communication network.)

说明：  一份关于数据挖掘的入门资料，进行了数据挖掘的基本介绍 还介绍了聚类，关联规则，决策树，神经网络(data mining, cluster, classification, Decision tree, Neural network)

说明：  A commented bash script to generate our final 2nd place solution can be found in make_kaggle_solution.sh. Running all the commands sequentially will probably take 7 - 10 days on recent consumer grade hardware. If you have multiple GPUs you can speed things up by doing training and feature extraction for the two networks in parallel. However, due to the computationally heavy data augmentation it may be far less than twice as fast especially when working with 512x512 pixel input images. You can also obtain a quadratic weighted kappa score of 0.839 on the private leaderboard by just training the 4x4 kernel networks and by performing only 20 feature extraction iterations with the weights that gave you the best MSE validation scores during training. The entire ensemble only achieves a slightly higher score of 0.845.

lan see a tool for intranet

完整的IMM MATLAB ,kalman目标跟踪(Complete IMM MATLAB, Kalman target tracking)

说明：  本文针对基于高斯分布的非线性滤波问题，开发并分析了实时和精确滤波器。我们提出了高斯滤波器的系统公式，并开发了高效和精确的数值积分。我们还讨论了混合高斯滤波器，其中条件概率密度由高斯分布之和近似。数值试验表明，新的滤波器在不增加额外费用的情况下显著地改善了扩展卡尔曼滤波器，并且新的高斯和滤波器具有接近最优的性能(In this paper we develop and analyze real-time and ac- curate filters for nonlinear filtering problems based on the Gaussian distributions. We present the systematic formulation of Gaussian filters and develop efficient and accurate numerical integration of the proposed filter. We also discuss the mixed Gaussian filters in which the conditional probability density is approximated by the sum of Gaussian distributions. Our numerical testings demonstrate that new filters significantly improve the extended Kalman filter with no additional cost and the new Gaussian sum filter .has a nearly optimal perfor- mance.)

在Labview编程环境中，字符串与簇之间的转换的例子。-In the Labview programming environment, the string with the conversion between cluster examples.