matlab

系统识别工具-ARX模型离线识别方法的matlab程序实现。(System identification tool-ARX model identified offline methods matlab program implementation.)

说明：  QAM 的MATLAB仿真，可以根据自己的需要拆开使用，仿真测试通过(QAM of the MATLAB simulation, can be used according to their needs apart, the simulation test by)

几个BOC 信号的分析例程，全球卫星导航系统将普遍使用BOC调制信号作为扩频测距信号，BOC信号号自相关函数呈现多个相关峰，传统扩频接收机所用的延迟锁定环（DLL）无法对该信号正确地进行码相位的 (Several BOC signal analysis routines, the global satellite navigation system will generally use the BOC modulation signal as a spread spectrum ranging signal, BOC signal autocorrelation function presents multiple correlation peaks, the traditional spread spectrum receiver with the delay locked loop (DLL ) can not be the signal code phase)

正交相移键控 (Quadrature Phase Shift Keying)简称“QPSK”，是一种数字调制方式。它分为绝对相移和相对相移两种。由于绝对相移方式存在相位模糊问题，所以在实际中主要采用相对移相方式DQPSK。目前已经广泛应用于无线通信中，成为现代通信中一种十分重要的调制解调方式。(QPSK THAT IS TO SAY....)

计算机视觉matlab工具箱 里面包含大量计算机视觉的matlab函数(computer vision )

用matlab 实现离散时间傅里叶变换的例程，方便初接触者使用。这是我dsp课的大作业(Using matlab discrete-time Fourier transform routines to facilitate early contact to use. This is my big job dsp lesson)

说明：  This file usesd Hopfield network to store patterns and to recall the full patterns based on partial input.

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：  Source code for subsampling

additive white gaussian noise in matlab