Chapter-1

自适应学习率调整算法来训练BP网络,有利于缩短学习时间(BP network)

8DPSK AWGN BER BCH coder

To support wireless communication : MIMO

做视觉测量的上位机代码,可以广泛的应用于数据预测及数据分析,到达过程是的泊松过程。( Do Vision Measurement PC code, Can be widely used in data analysis and forecast data, Arrival process is a Poisson process.)

实验数据，可用于仿真，或科学研究分析，用Matlab 打开(Exp data)

用Matlab软件搭出来的光伏电池模型，通过输入光照、温度、电压参数，可以实现光伏电池的一般特性。(Take out using Matlab software model of photovoltaic cells, by entering the light, temperature, voltage parameters, you can achieve the general characteristics of photovoltaic cells.)

THIS M-FILE USES THE TRANFER MATRIX METHOD TO EVALUATE THE COUPLED-MODE ％EQUATIONS. THE REFLECTION SPECTRUM OF THE GRATING AND THE TRANSMISSION ％SPECTRUM, DELAY AND DISPERSION OF THE FABRY-PEROT FILTER ARE SIMULATED(THIS M-FILE TRANFER USES THE MATRIX METHOD TO EVALUATE THE COUPLED- MODE EQUATIONS%. THE R EFLECTION SPECTRUM OF THE GRATING AND THE TRANS MISSION% SPECTRUM, DELAY AND DISPERSION OF THE FABRY-Ross PEROT FILTER ARE SIMULATED)

MUSIC AND VOICE SEPARATION FOR DIFFERENT PITCH. SUBMITTED PARTIAL CODE

The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files. - space_time_coding.m (perform space time coding) - subspace_channel_estimation_STBC.m (channel estimation) - one_shot.m (show an example) To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window. Reference: [1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202 - 217(The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files. - space_time_coding.m (perform space time coding) - subspace_channel_estimation_STBC.m (channel estimation) - one_shot.m (show an example) To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window. Reference: [1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202- 217)

Power quality generation of voltage sags. All kinds of sags can be generated.