-
QAM32
Digital communication QAM32 generation
- 2008-02-01 06:11:55下载
- 积分：1
-
zuida
用matalb进行ofdm的仿真，这个程序可以运行，简单明了(matalb used for the ofdm simulation, the process can run simple and clear)
- 2007-06-04 19:39:46下载
- 积分：1
-
GPS_SINS
GPS与捷联惯导的组合导航程序，可以运行(GPS and SINS integrated navigation program, directly run)
- 2015-08-10 10:21:48下载
- 积分：1
-
burg
谱估计中的伯格算法，利用matlab仿真，对信号频率做出估计(The Burg spectrum estimation algorithm using matlab simulation, to estimate the frequency of the signal)
- 2011-09-16 18:23:16下载
- 积分：1
-
bayes-classifier-
程序展示了bayes classifier对于连续数据的应用，假设数据均服从高斯分布。程序包含了binary classification和multi-classification的例子。(Program shows bayes classifier for continuous data applications, assume that the data are Gaussian. Program includes a binary classification and multi-classification examples.)
- 2013-08-04 02:53:08下载
- 积分：1
-
Memory
a sample c embedded program for beginners
- 2010-08-25 18:52:06下载
- 积分：1
-
linear_system_identification.tar
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)
- 2008-08-03 10:18:16下载
- 积分：1
-
cmopso
云多目标粒子群算法，基于matlab环境，可供学习者参考。(Cloud multi-objective particle swarm algorithm, based on the Matlab environment available to learners.)
- 2013-01-28 19:19:28下载
- 积分：1
-
Automatic-Detection-and-Elimination-of-an-Optic
Automatic Detection and Elimination of an Optic
Disc for Improving Drusen Detection Accuracy.Age Related Macular Degeneration (ARMD) is the most
common cause of blindness
- 2014-12-06 01:17:37下载
- 积分：1
-
strong_filter
强跟踪滤波器对于强机动具有非常好的机动性能，针对战斗机越来越强的机动性能，已变得必不可少的滤波方法。这里总结了数篇关于强机动目标跟踪的文章，希望对大家的科研有帮助(Strong Tracking Filter for strong motor with very good maneuverability for getting stronger fighter maneuverability, has become an essential filtering method. Here is a summary of several articles on the strong maneuvering target tracking article, we want to help research)
- 2014-01-15 18:10:17下载
- 积分：1
