mat121

假设在一个ad hoc网络中，移动节点的发射功率PTx总是恒定的。要发送数据的移动节点总是先监听信道，测量接收到的信号功率X，其中X= I + N, I为接收到的干扰，N是噪声。移动节点只有在X＜INThre时，才可以发射。式中，INThre为背景噪声门限。 在仿真中，我们规定每个移动节点的发射功率是常数，PTx = 1W；接收节点接收机的灵敏度Smin = -80 dBm；信号质量 min = 2 dB；系统的背景噪声门限INThre = 1.2e-10。 (Assuming in an ad hoc network, mobile node s transmission power is always constant PTX. To send data to the mobile node always monitor channel, measuring the received signal power X, which X = I+ N, I was received interference, N is the noise. Mobile node only when X <INThre when it is fired. Where, INThre threshold for background noise. In the simulation, we require that each mobile node s transmission power is constant, PTx = 1W receiver node receiver sensitivity Smin =-80 dBm signal quality )

FDTM code for square area

功放预失真模型，matlab实现，用神经网络算法(power amplifier predistortion )

MATLAB-SIMULINK通信系统建模与仿真实例分析-清华大学(MATLAB-SIMULINK communication system modeling, analysis and simulation instance- Tsinghua University)

说明：  自己设计的4路循环平稳和平稳信号的混合信号。循环平稳信号由EIT测量产生。可用于检测设计的基于循环平稳的盲源分离算法是否有效的仿真信号(source signals containing both cyclostationary and stationary ones)

基于时间序列法的风电预测matlab程序，可根据已知数据预测未来的风电功率。(Method based on time series prediction matlab program for wind power, according to known data to predict the future wind power.)

根据已给ecg数据文件，画出心电图波形，并自动标记出特征点位置，并计算P-R时间间隔 等参数。 附件是.dat为数据文件，为二进制文件，每2个字节代表一个采样点，采样频率1000hz。依 次为1-12导联的第一个采样点，其次是1-12导联第二个采样点，.... .hea头文件是文本格式说明文件，可以看到十二导联存放的先后顺序。 (According to the data file has to ecg, draw the ECG waveform, and automatically mark the feature points, and calculate parameters such as PR interval. The attachment is. Dat for data files, binary files, each 2 bytes represent a sampling point, the sampling frequency 1000hz. Followed by a 1-12 lead in the first sampling point, followed by 1-12 second sampling point lead ,..... Hea header file is a text file format that you can see the sequence)

projected coordinate systems

本资源是关于在捷联惯导技术中标定技术的参考文献(a list of dissertion about the technology of alignment in SINS)

KMEANSK Performs K-means clustering given a list of feature vectors and k The argument k indicates the number of clusters you want the data to be divided into. data_vecs (N*R) is the set of R dimensional feature vectors for N data points. Each row in data_vecs gives the R dimensional vector for a single data point. Each column in data_vecs refers to values for a particular feature vector for all the N data points. The output data_idxs is a N*1 vector of integers telling which cluster number a particular data point belongs to. It also outputs centroids which is a k*R matrix, where each rows gives the vector for the cluster center. If we want to segment a color image i into 5 clusters using spacial and color information, we can use this function as follows: