ber

在计算机上产生一组实验数据，首先产生一段零均值白噪声数据u（n）,令功率为 ，让u(n)通过一个三阶FIR： 得到y(n). .y(n)上加三个实正弦信号f1’=0.1,f2’=0.25,f3’=0.26调整 和正弦信号幅度信噪比大致为10dB,50dB,50dB. (1) 令N=256,描绘xn波形； (2)得出真实功率谱密度 . (3) 利用此实验数据Pisarenko谐波分解法估计该实验数据的正弦频率及幅度。 (On the computer to generate a set of experimental data, first generate a zero mean white noise data u (n), so that power, let u (n) through a third-order FIR: get y (n).. Y (n) added three real sinusoidal signal f1 ' = 0.1, f2' = 0.25, f3 ' = 0.26 and sine signal amplitude adjustment signal to noise ratio is approximately 10dB, 50dB, 50dB. (1) that N = 256, depicted xn waveform (2) the true power spectral density obtained. (3) using this experimental data, Pisarenko harmonic decomposition method to estimate the experimental data of the sinusoidal frequency and amplitude.)

Compute chebyshev excitation coefficients for a linear array

Using the area of the element to weighted average a value to each point on the triangular mesh

蚁群算法求解TSP 想和大家交流一下。(Ant Colony Algorithm for TSP would like to exchange.)

detection defect for tiles pinhole use matlab function

《MATLAB图像与视频处理实用案例详解》中基于 GUI 搭建通用视频处理工具和基于语音识别的信号灯图像模拟控制技术，完整的理论介绍和具体的实现代码，适合初学者(" MATLAB image and video processing utility cases explain" to build a common GUI-based video processing tools and image-based speech recognition signal analog control technology, complete theoretical description and specific implementation code, suitable for beginners)

潮流计算潮流计算潮流计算潮流计算潮流计算潮流计算潮流计算潮流计算潮流计算潮流计算潮流计算潮流计算潮流计算潮流计算潮流计算潮流计算潮流计算(chaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuan)

说明：  稳健稀疏PCA算法，能够对噪音与异常点数据表现稳健(Robust Sparse PCA)

matlab实现的OFDM仿真程序，及详细的说明文档(matlab implementation of OFDM simulation program, and detailed documentation)

MAtLAB实用教程，有大量的例题，适合初学者快速上手(MATLAB practical tutorials, there are a large number of Example, suitable for beginners and running quickly)