-
de-embedding_code_for_channel_estimation
多信道测量时，处理系统非理想特性的去嵌入程序。(the de-embedding code for a real communication system when doing channel estimation.)
- 2010-08-24 16:44:03下载
- 积分：1
-
singlehex2num
Convert single precision IEEE hexadecimal string to number. By Matthias Nö ll.
- 2013-07-31 09:22:17下载
- 积分：1
-
LDPC_BSN
Matlab code for LDPC log-domain decoder in AWGN channel(Matlab code for LDPC log-domain decoder in AWGN channel BEC Channel and BSC channel)
- 2011-06-02 15:18:50下载
- 积分：1
-
testBPSKVB
仿真BPSK调制在AWGN信道下分别使用卷积码和不使用卷积码的性能(Simulation BPSK modulation in AWGN channel respectively convolutional code and a convolutional code performance without)
- 2013-10-25 11:16:05下载
- 积分：1
-
Machine learning
Machine learning code
- 2017-09-30 03:54:11下载
- 积分：1
-
imageprobaliity3
to help in computer vision ,pattern recognition and machine learning research for grad students in image analysis and computer science works of masters and doctorate
- 2010-07-03 13:56:53下载
- 积分：1
-
lunwen
本文简要介绍了语音信号采集与分析的发展史以及语音信号的特征、采集与分析方法，并通过PC机录制自己的一段声音，运用Matlab进行仿真分析，最后加入噪声进行滤波处理，比较滤波前后的变化。(This paper introduces the voice signal acquisition and analysis of the history and characteristics of speech signals, sampling and analysis methods, and through a PC, record your own voice, use of Matlab simulation and analysis, and finally adding noise filtering, comparing before and after filtering change.)
- 2010-05-09 12:29:50下载
- 积分：1
-
matlabwatershedcode
分水岭分割在matlab下实现，希望大家多提意见。(watershed segmentation in Matlab achieve, we hope to do so.)
- 2007-05-09 08:51:10下载
- 积分：1
-
phasedef_analysis
该程序代码能对地震数据的相位进行仔细分析。(The program code of the phase of the seismic data to be carefully analyzed.)
- 2012-11-21 17:08:47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
