资源列表
AdaptiveTrackDetectionforMultiStaticActiveSonarSys
- 关于多基地主动声纳中的自动跟踪探测方面的文章来源I-Adaptive Track Detection for Multi-Static Active Sonar Systems
onetest
- 电力系统可靠性评估，发电机组停运表的形成-Formation of power system reliability uation, generators outage table
nnet
- Neural networks are composed of simple elements operating in parallel. These elements are inspired by biological nervous systems. As in nature, the network function is determined largely by the connections between elements. We can train a neura
nnet
- matlab神经网络计算的实现,包括模型/实现/应用,并有简单的simulink
ex91
- 当单击第一个按钮时，按钮上的文字“这里是一个按钮，按我吧!”就变成“你已按下了按钮”，第二个按钮实现转换功能同上，还包含单选按钮，复选按钮及组框控件等。-When you click the first button, the text on the button, " Here is a button, press me!" Becomes " You have pressed the button," the second button to achiev
QccPack-0.51-1
- QccPack implementation in C
XJTU08ACM
- 西安交通大学XJTU08暑假训练的试题，测试数据，题解和源代码-Xi' an Jiaotong University XJTU08 summer training questions, test data, problem solutions and source code
8个OFDM-Chirp波形的时频域图及自(互)模糊函数图
- 8个正交OFDM-Chirp分集波形的时域频域图，自模糊函数图和互模糊函数图，文件夹里面有说明文档及参考文献。(Eight orthogonal OFDM-Chirp diverse waveforms, with its time-domain plot and spectrogram, and self-ambiguity functions and cross-ambiguity functions. references are provided.)
On-lineMultistepPredictiveControlofTempretureBased
- 预测控制是一种新型的控制算法之一。经典的PID控制方法简单方便,但是精度不高。近年来发展的自适应、自校正方法精度高,但其本质要求在线辨识对象模型,对过程的未建模动态和扰动的适应能力差,鲁棒性不好。预测控制方法集PID和自适应方法二者之长,是一种面向工业过程特点、对模型要求低、在线计算方便、控制精度高的算法。数字计算机向小型、高速、大容量、低成本方向的发展,为预测控制这类新算法的实现提供了物质基础。 本文以PCT—Ⅲ型过程控制系统装置为平台,将预测控制算法运用到实际系统中去,该装置分为水位系统和温
ESPRIT
- 文件包含基本ESPRIT算法及基本ESPRIT算法的各种改进，对各种算法进行了分析并进行了算法比较-File contains the basic algorithm ESPRIT ESPRIT algorithm and a variety of basic improvements to the various algorithms were analyzed and compared to the algorithm
Downloads
- 在matlab平台下实现PLA_Pocket算法(Implementation of PLA_Pocket algorithm on MATLAB platform)
p15
- ACM MM 2010 PAPER, TITLE: Collaborative Content Synchronization through an Event-based Framework-ACM MM 2010 PAPER, TITLE: Collaborative Content Synchronization through an Event-based Framework