-
kalman_filter
matlab code about kalman filter
- 2009-11-30 23:55:46下载
- 积分：1
-
ICA_gradient_descent
ICA梯度下降算法，里面包含了数据用来验证梯度下降算法的实现过程。对ICA的具体算法有清楚的了解。(ICA gradient descent algorithm, which contains the data used to verify the gradient descent algorithm implementation process. Have a clear understanding of the specific algorithms of ICA.)
- 2013-03-20 21:40:08下载
- 积分：1
-
Proge.dl
Some features and classification function
- 2013-10-31 14:17:36下载
- 积分：1
-
WindowDcDemo
在视图中使用CWindowDC在整个窗口进行绘图，C++精选学习源码，很好的参考资料。(For drawing in the window using CWindowDC in the view, select learning C++ source code, a good reference.)
- 2013-11-27 07:37:26下载
- 积分：1
-
goukan
包括单边带、双边带、载波抑制及四倍频,窗函数法设计一个数字带通FIR滤波器，插值与拟合的matlab实现。( Including single sideband, double sideband, suppressed carrier and quadruple, A window function design FIR digital band-pass filter, Interpolation and fitting matlab implementation.)
- 2016-09-17 22:05:24下载
- 积分：1
-
mackeyglass
This script generates a Mackey-Glass time series using the 4th order Runge-Kutta method.
The code is a straighforward translation in Matlab of C source code provided by Roger Jang
- 2010-11-17 00:18:50下载
- 积分：1
-
RayleighFading_generation
说明： 这个函数产生了归一化的基于逆DFT方法的瑞利采样。(This function generates normalized rayleigh samples based on Inverse DFT
method)
- 2011-03-09 19:30:54下载
- 积分：1
-
daohangmatlab
捷联惯性导航中地理坐标转换为直角坐标的matlab程序(Strapdown inertial navigation geographical coordinates are converted to rectangular coordinates matlab program)
- 2012-05-19 12:10:59下载
- 积分：1
-
matlab
实现labview对MATLAB的调用 在图像去噪方面的应用(Applying LabVIEW to realize the call to MATLAB in image denoising)
- 2014-11-04 08:39:52下载
- 积分：1
-
Main
Abstract—Demand Response (DR) and Time-of-Use (TOU)
pricing refer to programs which offer incentives to customers
who curtail their energy use during times of peak demand. In this
paper, we propose an integrated solution to predict and re-engineer
the electricity demand (e.g., peak load reduction and shift) in
a locality at a given day/time. The system presented in this paper
expands DR to residential loads by dynamically scheduling and
controlling appliances in each dwelling unit. A decision-support
system is developed to forecast electricity demand in the home and
enable the user to save energy by recommending optimal run time
schedules for appliances, given user constraints and TOU pricing
the utility company. The schedule is communicated to the
smart appliances over a self-organizing home energy network
and d by the appliance control interfaces developed in this
- 2020-09-23 09:57:52下载
- 积分：1
|
联系客服（QQ：3324461878）
