Classifier

图像复原 退化模型 连续退化模型 离散退化模型 复原的代数方法 代数复原原理 逆滤波复原 最小二乘方滤波 MATLAB 实现图像复原 维纳滤波复原 规则化滤波复原 Lucy-Richardson 复原 盲去卷积复原 图像复原的其它 MATLAB 函数 (Degradation of image restoration model continuous degradation model discrete degradation model recovery principles of algebra algebraic inverse filter to recover to recover MATLAB least squares filtering for image restoration Wiener filter to recover the rules-based filtering to recover Lucy-Richardson deconvolution to recover Blind Image Restoration to recover the other MATLAB Functions)

此程序主要是用Matlab进行点云数据的三维建模，对用Matlab进行三维重建有实用价值。 (The procedure is to use Matlab for modeling three-dimensional point cloud data on the three-dimensional reconstruction with Matlab has practical value.)

基于matlab系统辨识的经典脉冲响应辨识，自己编写，效果不错。(Matlab system identification based on the classic impulse response identification, their preparation, good results.)

以前上高级信号处理的课程作业，是关于功率谱估计的MUSIC算法(Advanced signal processing on the previous course work, the power spectrum estimation on MUSIC algorithm)

说明：  中文语言理解测评基准，包括代表性的数据集、基准(预训练)模型、语料库、排行榜。 我们会选择一系列有一定代表性的任务对应的数据集，做为我们测试基准的数据集。这些数据集会覆盖不同的任务、数据量、任务难度。(Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models, corpus and leaderboard)

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)

the code simulates the mimo-ofdm type stbc alamouti 2*2

本仿真基于李雅普诺夫稳定理论设计的内模自适应控制仿真(The simulation based on Lyapunov stability theory designed internal model adaptive control simulation)

说明：  numerical solution on PDE

基于 MATLAB 的时域信号采样及频谱分析 基本要求：① 掌握数字信号处理的基本概念、基本理论和基本方法； ② 学会 MATLAB 的使用，掌握 MATLAB 的程序设计方法； ③ 学会用 MATLAB 对信号进行分析和处理； ④ 信号的各参数需由键盘输入，输入不同参数即可得不同的x(t) 和x(n)； ⑤ 撰写课程设计论文，用数字信号处理基本理论分析结果。 (MATLAB-based time-domain signal sampling and spectral analysis of the basic requirements: ① to grasp the basic concepts of digital signal processing, basic theory and basic methods ② learn the use of MATLAB, MATLAB programming method to master ③ learn to use MATLAB to analyze the signal and processing ④ signal parameters to be input from the keyboard, the input parameters can be different in different x (t) and x (n) ⑤ thesis writing course design, with the basic theory of digital signal processing analysis.)