diqiujingzhiguidao

本文 主 要 研究的是Gab。:小波神经网络算法及其在灰度图像目标识别 中的应用。研究涉及神经网络理论、小波分析理论和小波神经网络理论及其 它们在目标识别中的应用技术。(This paper is Gab. : Wavelet neural network algorithm and its gray-scale image recognition applications. Research involving neural network theory, wavelet analysis theory and wavelet neural network theory and their recognition in the target application technology.)

这是一个电力系统故障诊断的一个仿真程序，里边有比较详细的说明(This is a power system fault diagnosis of a simulation program, a more detailed description inside)

说明：  Doan in document with Matlab Code 2 MIMO

利用小波分解实现对信号多尺度分解重构，程序简单。(Wavelet decomposition of signal multi-scale decomposition and reconstruction, the program simple.)

preconditioned conjugate gradient

说明：  MNIST手势识别数据库进行softmax回归分类，直接运行softmaxExercise.m文件即可运行。(The MNIST gesture recognition database is classified by soft Max regression and can be run directly by running the softmaxExercise. m file.)

汽车牌照识别系统的设计与实现,希望对研究车牌的有用(Vehicle license plate recognition system design and implementation, in the hope of a useful plate paper)

基于LANDMARC的定位系统上进行的算法复杂度的减小的优化，包括了具体的优化后系统的实现，误差前后对比，改文章还提出了一种adaptive的定位算法，更利于外部变化环境下(In wireless networks, a client’s locations can be estimated using signal strength received from signal transmitters. Static fingerprint-based techniques are commonly used for location estimation, in which a radio map is built by calibrating signal-strength values in the offline phase. These values, compiled into deterministic or probabilistic models, are used for online localization. However, the radio map can be outdated when signal-strength values change over time due to environmental dynamics, and repeated data calibration is infeasible or expensive. In this paper, we present a novel algorithm, known as Location Estimation using Model Trees (LEMT), to reconstruct a radio map by using real-time signal-strength readings received at the reference points. This algorithm can take real-time signal-strength values at each time point into account and make use of the dependency between the estimated locations and reference points. We show that this technique can effectively accommodat)

application与config对象。李兴华老师上课的笔记，具体在优酷上可以搜到。配套使用(application and the config object. Li Xinghua teacher in the class notes, specifically in the superior can be found to cool. Supporting the use of)

工学硕士论文，基于自适应卡尔曼滤波的捷联惯导非线性对准技术研究, (Engineering master's thesis, based on adaptive Kalman filtering SINS Nonlinear Alignment Technology,)