Math1

It is a small part of code that used for clustering approach

matlab的发展环境,为解决大型迭代法的非线性方程组,M-file(matlab development environment, broyden iteration method for solution of nonlinear equations, in which M-file)

phich and time stretching done in matlab

IEEE有关脏纸编码（DPC）的最新文章。(IEEE the dirty paper coding (DPC) of the latest articles.)

巴克码的编码程序，基础程序可以好好学习下，希望有帮助！(Barker coding procedures, based on the program can learn under, want to help!)

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.)

说明：  基于levenberg-marquardt的高斯分解法，并用GLAS信号进行了验证(A Gaussian Decomposition approach based on levenberg-marquardt method. Verified by GLAS waveform signals.)

matlab code for JTAG cable checking

说明：  基于非相干信号字空间宽带源DOA估计方法，代码可运行(The matlab code is the DOA estimation for wide-band signals by ISM. It works well.)

在现代测试技术中，考虑到传感器特性，针对传感器特性曲线非线性问题的补偿(In modern testing technology, taking into account characteristics of the sensor, the sensor characteristic curve for the compensation of nonlinear problems)