shulongdianji

LTE中随机接入信道的源代码分析，包括发送端和接收端(LTE in the random access channel of the source code analysis, including the sending end and receiving end)

flch5rmleg2.m递推的极大似然法辨识程序()

说明：  bpsk仿真中间有两个方面的内容，很好的仿真软件(There are two files in the zip folder. bpsk_spread.m and jakesmodel.m Steps for simulation: 1] Run jakesmodel.m first 2] Then run bpsk_spread.m . 3] Note that during the first run bpsk_spread.m has no rayleigh fading.This is because the corresponding code has been commented 4] The resulting performance is stored in BER_awgn. 5] Now uncomment the Rayleigh Fading code in bpsk_spread.m file. 6] Same time comment BER_awgn (line 112) and uncomment BER_ray variable. 7] Run the simulation. )

经典窄带信号含有两个干扰源，最后绘制方向图(Classic narrowband signal contains two sources of interference, the pattern drawn last)

MVDR一体化算法程序，用于GPS信号处理(MVDR algorithm program integration for GPS signal processing)

mimo系统中硬检测，运用matlab软件进行仿真，(mimo system hardware detection, the use of matlab simulation software,)

simpson algortihm that could be fine in all fields

希尔伯特黄变换是，hilbert+emd的综合。本文件是典型的hht的程序(The Hilbert yellow transformation is the synthesis of hilbert+emd. This file is a typical HHT program)

Wigner-Ville 分布(简称 WVD)是典型的二次型变换，它定义为信号瞬时相关函数的傅立 叶变换。 由于在计算中不加窗操作，它避免了时域分辨率和频域分辨率之间的相互牵制。 已证明，对于单分量线性调频信号，WVD 的时频表示能量集中性最优。但也正因为不涉 及窗函数，在分析多分量信号时 WVD 会受到交叉项的干扰。(The Wigner-Ville distribution (WVD) is a typical quadratic transformation, which is defined as the Fourier of the instantaneous correlation function of a signal. Ye Bianhuan. Because of no window operation in the calculation, it avoids the mutual restraint between time domain resolution and frequency domain resolution. It has been proved that for the single component LFM signal, the WVD time frequency representation has the best energy concentration. But it is also because it does not involve. And window functions, when WVD is used to analyze multi-component signals, it will be interfered by cross terms.)

输入为JPG格式图像，通过小波模极大值提取图像边缘，共分3级进行提取，输出包括原图像边缘检测结果和不同级别小波边缘图像。(JPG format input image, the wavelet modulus maxima extracted image edge extraction is divided into three, the output includes the original image edge detection results and the different levels of wavelet edge image.)