Matlab_GUI_HIT_Guidebook

This file contains the configfs implementation for iSCSI Target mode from the LIO-Target Project.

用matlab生成一个伪随机序列，并用国家密码管理局发布的随机性检测规范中的三种算法对它进行随机性检测(Generates a pseudo-random sequence with matlab, and released by the State Encryption Administration randomness test specification make it three algorithms randomness test)

判定滤波器系统稳定性；以及对于单位阶跃序列的全响应输出波形(Determine the filter system stability And the sequence of unit step response output waveform)

matlab编写的陷波滤波器和维纳滤波器重构模糊图像的程序，还有一个程序实现了冈萨雷斯的《数字图像处理》第5章第20题的问题。(matlab prepared notch filter and Wiener filter blurred image reconstruction process, there is a program to solve the Gonzalez " Digital Image Processing" Chapter 5 of the 20 questions in the question.)

利用回溯法来求解凸函数的最优值。采用非精确线性搜索，利用最少的迭代次数找到最优值。(backtracking method，change the step size in searching procesure and finally find the optimizaiton points. )

说明：  对一个非线性的滤波器设计进行优化，使得设计出的滤波器与给定指标最接近且要求优化变量取离散值得优化设计问题(Of a non-linear filter design is optimized, making the design of the filter and to set targets and optimize the variable closest to the requirements and obtain the optimal design of discrete worth)

信号经过两个独立的信道传输，两个信道的信道复增益分别为 和 。 是独立同分布的复高斯随机变量，实部虚部独立、均值为0，实部虚部的方差都是1。采用某分集技术后输出的信噪比为 ，其中 是常数， 是在 之间均匀分布的随机变量。请就不同的 、 ，用仿真的方法画出 的累积分布函数。(signal after two independent Channel Tunnel, Channel 2 Channel Minute respectively, and gain. Independence is the same complex Gaussian distribution of random variables, is the imaginary part of the Department of independence, mean 0 and the real part of the imaginary part is a variance. Using a diversity of the output signal-to-noise, which is constant, is the uniform distribution between random variables. Please different, and simulation methods paint the cumulative distribution function.)

defective image finding

QPSK仿真程序，调制解调，画出不同信噪比下的曲线。(QPSK simulation program, modulation and demodulation, draw curves under different signal-to-noise ratio.)

After identifying the best MNT− 1 nodes with the simplified branch metric and the accumulated branch metric at stage NT − 1, we then calculate the LLR of each coded bit utilizing the standard squared Euclidian distance metric. The log-likelihood ratio (LLR) of a posteriori probability (APP) of each coded bit conditioned on the received signal y is normally calculated using the max-log approximation.