LMSprogram

Matlab text book.Primer edition for experts

已知观测数据为A+W(n)，其中A为直流信号，W为复高斯噪声，服从CN（0， ），在统计N次下，计算X的统计平均值 ，求T(x)= 的pdf：p(T(x)|H0)、p(T(x)|H1)。 H0： W H1： A+W (Known observation data A+W (n), where A is the DC signal, W is the complex Gaussian noise, subject CN (0,), N times in the statistics, the calculation of the statistical mean of X, find T (x) = a pdf : p (T (x) | H0), p (T (x) | H1). H0: W H1: A+W)

用快速傅立葉轉換來求出訊號頻譜的練習過程，並舉一個實例:用FFT來算方形孔徑的遠場繞射(Exercises of the signal spectrum is obtained using a fast Fourier transform FFT to count the the square aperture far-field diffraction)

说明：  “Queuing network models for delay analysis of multihop wireless ad hoc networks

《MATLAB7.x数字信号处理》的配套光盘，提供给初学者或者需要的朋友。(" MATLAB7.x digital signal processing," CD-ROM package, available to the beginner or need a friend.)

matlab智能天线关于波束形成程序的仿真(matlab smart antenna beam-forming process on the simulation of)

双阵纯方位TMA，包含卡尔曼滤波及修正卡尔曼滤波 以及快速分解算法 个人感觉很实用(Double array of pure orientation TMA contains the Kalman filter and correction Kalman filter and the rapid decomposition algorithm personal feeling very practical)

building benchmark analysis

GUI for Matlab like software Octave.

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.)