-
GA_sin2x_sinx
Genetic Algorithms - Optimization and Example
- 2010-11-03 22:50:43下载
- 积分：1
-
new
说明： matlab的GUI设计，实现摄像头的无人监控拍照，可以实现定时功能。(matlab GUI design, implementation, unmanned surveillance camera pictures, you can achieve timing.)
- 2010-04-19 22:29:43下载
- 积分：1
-
APF_ip_iq_zhihuan
基于瞬时无功功率的ip-iq算法，采用滞环控制的APF(Based on instantaneous reactive power, hysteresis control APF)
- 2012-11-05 21:33:54下载
- 积分：1
-
xiaobo
这个是关于小波变换，对图像增强介绍的文章，共大家参考研究、使用。(This is the wavelet transform, image enhancement described in the article on the total of your reference and use.)
- 2010-05-18 16:42:54下载
- 积分：1
-
perfectversion
用Pisarenko算法实现功率谱估计，可明显区分四个信号的峰值。(Pisarenko algorithm using power spectrum estimation, can significantly distinguish between the four signal peaks.)
- 2010-05-19 12:31:18下载
- 积分：1
-
(HOSA)-Toolbox
MATLAB高阶谱分析信号处理工具箱(HOSA)(MATLAB Signal Processing Toolbox high-spectral analysis (HOSA))
- 2011-10-05 20:17:51下载
- 积分：1
-
Plan-Position-Indicator-(PPI)
When scanning in PPI mode, the radar holds its elevation angle constant but varies its azimuth angle. The returns can then be mapped on a horizontal plane. If the radar rotates through 360 degrees, the scan is called a "surveillance scan". If the radar rotates through less than 360 degrees, the scan is called a "sector scan".
- 2011-12-17 02:36:18下载
- 积分：1
-
com
有需要的自己下载查看 内部有图有程序 (There is a need to download the view of its own internal procedures have plans has)
- 2008-05-30 20:36:31下载
- 积分：1
-
xiaobomo
信号经小波变换后的模值,小波模最大值（信号突变点）对应的时刻(Signal by the wavelet transform modulus values , the wavelet modulus maximum (signal corresponding to the mutation) time)
- 2012-04-19 21:25:24下载
- 积分：1
-
BP.m
在工程应用中 经常会遇到一些复杂的非线性系统, 这些系统状态方程复杂, 难以 用数学方
法准确建模。 在这种情况下, 可以 建立 BP 神 经网 络表达这些 非 线 性系 统。 该方法把未 知 系
统看成是一个黑箱, 首先用 系 统 输入输出 数据 训 练 BP 神 经网 络, 使网 络能 够表达该未 知 函
数, 然后就可以 用训练好的 BP 神经网络预测系统输出 。
本章拟合的非线性函 数为
y = x1^2+x2^2.
。
(In engineering applications often encounter some complex nonlinear systems, which complicated the equation of state, can not be accurately modeled mathematically. In this case, BP neural network can be established to express these nonlinear systems. The method of the unknown system as a black box, the first input and output data with systematic training BP neural network, the network can express the unknown function, then you can use the trained BP neural network forecasting system output. Chapter for fitting non-linear function y = x1 ^ 2+x2 ^ 2..)
- 2014-12-13 21:39:55下载
- 积分：1
|
联系客服（QQ：3324461878）
