predict

近场声源定位TDOA的MATLAB仿真，采用传统的相关算法CC和广义相关算法中的相位转换算法GCC_PHAT(Sound localization of MATLAB simulation, using the traditional algorithms of CC and phase transformation algorithm of generalized correlation algorithm GCC PHAT)

对文件夹下的EXECL文档进行批量计算，该程序用来计算NeuroSky采集到的raw data脑电数据的小波熵，经过验证得到的结论和别人得到的结论一样(help you to calculate the wavelet entropy, the data is collected from NeuroSky Mindset, it is worth for you to read and understand it.)

位同步仿真，有仿真数据的输入，以及转换，可以输入到verilog中仿真(Bit synchronous simulation, simulation data input, and conversion, can be entered into the simulation verilog)

MIMO為多根天線輸入多根輸出，可高效率傳輸data以及接收，缺點則是需付出額外天線成本(MIMO antenna for multi-input multi-output, high efficiency can be transmitted and received data, the disadvantage is that the antenna required to pay additional costs)

基于MATLAB/SIMULINK的零电压移相半桥控制，DC/DC变换器。 已经过修改调试，效果良好。 可直接用于借鉴学习。 模型基于matlab R2016b.(Zero voltage phase shifted half bridge control based on MATLAB/SIMULINK, DC/DC converter. It has been modified and debugged, and the result is good. Can be directly used for reference learning. The model is based on MATLAB R2016b.)

超声场仿真工具包，matlab编写。请认真书写上传资料的详细功能、包含内容说明(FUCTION LIKE Field_II)

Jpeg processing by matlab

说明：  语音识别matlab程序 找了好久啊 希望对大家有帮助(Speech Recognition Matlab procedures for a long time ah hope to be helpful! !)

说明：  基于亮度直方图的纹理特征，包含均匀度、平滑度、一致性、熵等六个特征。(Brightness histogram-based texture features, including uniformity, smoothness, uniformity, entropy and other six characteristics.)

Okumura analyzed path-loss characteristics based on a large amount of experimental data collected around Tokyo, Japan. He selected propagation path conditions and obtained the average path-loss curves under flat urban areas. Then he applied several correction factors for other propagation conditions, such as: Antenna height and carrier frequency Suburban, quasi-open space, open space, or hilly terrain areas Diffraction loss due to mountains Sea or lake areas Road slope Hata derived empirical formulas for the median path loss (L50) to fit Okumura curves.