cdpei

压缩包是统计信号处理中雷达信号检测中的恒虚警处理方法，包括慢门限和快门限的原程序和结果(Archive is a statistical signal processing radar signal detection CFAR methods, including slow shutter limit threshold and the original procedures and results)

用LS法估计的AR参数并用Cadzow谱估计子估计出信号的功率谱密度(With the LS estimation of the AR parameters and spectral estimation Cadzow child with estimated signal power spectral density)

the moramlizationof image in needed in various image processing applications here this code doing the same.

VSplitterCtrlSnk.cls 可将窗口分为两部分并可随意调整大小的类(VSplitterCtrlSnk.cls window can be divided into two parts may arbitrarily large adjustment small type)

模拟2个独立窄带信号分别以20°，60°的方向入射到均匀线阵上，信号间互不相关，与噪声相互独立，噪声为理想高斯白噪声，阵元间距为入射信号波长的1／2，信噪比为20dB，阵元数为10，采样快拍次数为200。(Simulate two independent narrowband signals in the direction of 20 °, 60 ° of the incident on the ULA, among signal unrelated, independent noise, the noise is ideal Gaussian white noise, the array element spacing of the incident signal wavelength of 1/2, the signal to noise ratio is 20dB, the array element number 10, the sampling frequency of 200 snapshots.)

m文件下的s-function模块的编写模版，可在此模版上编写(m-s-function m-file written source code, you can write on this basis)

基于matlab编程RBF网络监督PID控制程序(Matlab Programming Based on RBF Network Supervised PID Control Program)

说明：  基于MATLAB的组合模型 在港口吞吐量预测中的应用 以某港1998--2007年集装箱吞吐量为实测数据，建立其集装箱吞吐量的灰色理论、三次指数平滑、三次多项式 等预测模型，在MATLAB下，对比该港集装箱吞吐量各模型预测拟合值与实际值的差异。分析了差异产生的原因及其单一预 测模型的局限性，提出了港口集装箱吞吐量组合预测法。其预测误差明显低于其它单模型。运用组合预测模型．可以降低误 差。提高预测精度。(A combination of MATLAB-based model in port throughput prediction of a Hong Kong 1998- 2007 container throughput for the measured data, the establishment of its container throughput of the gray theory, the three exponential smoothing, prediction models, such as cubic polynomial in MATLAB, the contrast of the Hong Kong container throughput of fitting the models to predict the value of the difference between the actual value. Analysis of the causes of differences and the limitations of a single prediction model, the combination of port container throughput prediction. Its prediction error was significantly lower than other single model. The use of combination forecasting model. Can reduce the error. Improve the prediction accuracy.)

sepia filter on image sepia.m

Matlab code for demodulating QPSK signal