03-Fundamentals-of-Radar-Measurements---AFC

A Study of Bias Correction Methods for Enhancing Median Edge Detector Prediction

通过求解Chirstoff方程，求解出材料的群速度和慢度面(compute the sowless and group velocity)

rectifer sinosoidal first ejm

FASTICA算法从多维信号中估计其独立分量。FASTICA采用Hyvarinen的定点算法实现。(FASTICA(mixedsig) estimates the independent components given multidimensional signals. Each row of matrix mixedsig is one observed signal. FASTICA uses Hyvarinen s fixed-point algorithm. )

说明：  神经网络激活函数代码，有代码有图，可以直接用来学习使用。(Neural network activation function code, there are codes and graphs, can be directly used to learn to use.)

Circuit Analysis II with Matlab

The statements below guide us to write the code for the transmission of sensed data to a sink node using cognitive radios in multiple spectrum bands. In doing this we are trying to find the most appropriate modulation scheme using MATLAB simulation.

dlks ahfiewhlifjsdklfjai ew.f共轭法(min)

基于主元分析的多元线性回归程序,输出回归系数，主元贡献率和拟合误差(multiple linear regression using pca)

说明：  通信信号的调制信息包含在信号的瞬时幅度、相位、频率的变化之中，不同的信号其频谱也呈现不同的特征，通过提取瞬时幅度、相位、频率以及频谱的参数统计特征，可以识别不同的通信信号。通常是利用对瞬时幅度、瞬时相位，瞬时频率和信号功率谱进行某种变换而得到可以明显区分各种信号的特征参数。(Communication signal modulation information is contained in the signal instantaneous amplitude, phase, frequency changes, the spectrum of different signals also show different characteristics, by extracting the instantaneous amplitude, phase, frequency and statistical characteristics of the parameters of the spectrum, you can identify different communication signals. Usually by the use of instantaneous amplitude, instantaneous phase, instantaneous frequency and signal power spectrum a transformation which can be clearly distinguished by the characteristic parameters of various signals.)