一个模拟数据分析处理的过程例程

接收端时间同步环仿真，包括插值滤波器、环路滤波器、GARDNER算法以及数字控制振荡器(Receiver time synchronization loop simulation, including interpolation filter, loop filter, GARDNER algorithm and digital controlled oscillator)

经典的关于aster数据处理的文档。ASTER搭载在Terra卫星上的星载热量散发和反辐射仪，是于1999年12月18日发射升空的，由日本国际贸易和工业部制造。(Classic on the aster data processing documents. ASTER carrying the Terra satellite on-board heat distribution and anti-radiation device, was December 18, 1999 launched by the Japanese International Trade and Industry Manufacturing.)

SIMULINK初级教程，入门必备。AM调制器的设计，低通滤波器，AM相干解调仿真(SIMULINK primer, entry necessary. AM modulator design, low-pass filter, AM Coherent demodulation simulation)

为领域专家提供一种有效的知识获取方法。 该方法 综合各种设备故障诊断知识获取方法的优点, 引入系统论的 概念和思想, 使知识获取过程系统化和程式化, 强调和引入 了设备对象功能技术物理效应、 伴随技术物理效应和可测性 研究。 提出的设备故障诊断模型知识获取方法已应用于建立 某一抽水蓄能机组的诊断知识模型, 表现出了操作的方便 性, 较好地解决了所获取知识的完备性和一致性问题。该方 法使设备故障诊断知识获取工作向工程化的方向迈进了一步(For the domain experts to provide an effective knowledge acquisition method. The fault diagnosis method of integration of knowledge acquisition method has the advantage, the introduction of the system of concepts and ideas, so that systematic and programmed process of knowledge acquisition, stress and the introduction of a functional device object technology physical effects, physical effects associated with technology, and testing research. Fault diagnosis model proposed knowledge acquisition method has been applied to establish the diagnosis of a Pumped Storage Unit knowledge model, showing the convenience of operation, can solve the access to knowledge of the completeness and coherence. The method makes the fault diagnosis knowledge acquisition work to project a step in the direction of)

matlab软件的中文帮助，方便英语水平不精的可以方便的学习matlab软件(matlab software for English to help facilitate the standard of English can be ill-equipped to facilitate the study matlab software)

calcul de coefficient mfcc

关于微弱信号跟踪的一篇相当好的论文，基于BACIX接收机的(A paper about tracking of weak GPS signal， based on BACIX receiver.)

说明：  基于matlab的llc半桥闭环仿真，主要验证LLC工作特性。 (Half-Bridge LLC simulink mdl)(Half-Bridge LLC simulink mdl)

【实例简介】

his algorithm was proposed by Quinlan (1993). The C4.5 algorithm generates a classification-decision tree for the given data-set by recursive partitioning of data. The decision is grown using Depth-first strategy. The algorithm considers all the possible tests that can split the data set and selects a test that gives the best information gain. For each discrete attribute, one test with outcomes as many as the number of distinct values of the attribute is considered. For each continuous attribute, binary tests involving every distinct values of the attribute are considered. In order to gather the entropy gain of all these binary tests efficiently, the training data set belonging to the node in consideration is sorted for the values of the continuous attribute and the entropy gains of the binary cut based on each distinct values are calculated in one scan of the sorted data. This process is repeated for each continuous attributes.