ADC

The BNL toolbox is a set of Matlab functions for defining and estimating the parameters of a Bayesian network for discrete variables in which the conditional probability tables are specified by logistic regression models. Logistic regression can be used to incorporate restrictions on the conditional probabilities and to account for the effect of covariates. Nominal variables are modeled with multinomial logistic regression, whereas the category probabilities of ordered variables are modeled through a cumulative or adjacent-categories response function. Variables can be observed, partially observed, or hidden.

探讨不同类型加窗后对LFM信号匹配滤波后峰值旁瓣比和隔离度的影响(Window of different types of LFM signal after matched filtering the peak sidelobe ratio and the impact of isolation)

Implementors will know how to get a test suite.

说明：  MATLAB 神经网络源码GRNN的数据预测-基于广义回归神经网络货运量预测(MATLAB neural network source code GRNN data forecast-based generalized regression neural network freight volume forecast)

Matlab的HARQ仿真及其组合译码方案(Its combination of Matlab simulation HARQ decoding scheme)

this program simulates 2D electromagnetic Maxwell equations in transverse magnetic mode , by using finite difference time domain method FDTD

MATLAB CODE FOR DECODE AND FORWARD

异步电机调速系统，参考模型神经网络控制器的感应电机转速(Induction motor speed control system, neural network reference model of induction motor speed controller)

Emitter Recognition Based on Modified X-means

采用Simulink仿真工具，通过对二元对称信道的仿真，研究信道编码（如Turbo码等）对误码率的改善情况。(Simulink simulation tool used, through the binary symmetric channel simulation to study the channel coding (such as Turbo code, etc.) on the error rate to improve the situation.)