完美的超分辨率重建实现的pocs算法MATLAB环境源码

盲信号分离(BSS)是指在对彼此独立的源信号混合过程及各源信号本身均未知的情况下，从混合信号中分离出这些源信号的方法。BSS可以用来从多个麦克风混合语音信号中提炼出单个语音信号。本文简要阐述LMS、RLS算法，并通过仿真实验来分析比较这两类方法的性能，并利用此方法对一实际的语音信号进行分离。(Blind Signal Separation (BSS) is defined as independent of each other mixed-signal process and the source of the signal itself are unknown circumstances, from the mixed-signal to isolate the source of these signals. BSS can be used from multiple microphones mixed voice signal to extract a single speech signal. This paper briefly described LMS, RLS algorithm, and through simulation experiments to analyze the comparative performance of these two types of methods and take advantage of this method on a real speech signal separation.)

用的是UKF算法对雷达跟踪目标的模型记性仿真，可以用来学习UKF的使用，研究卡尔曼滤波的人可以拿去适当做一下参考。这是一个三维的匀速直线运动模型，最后的滤波结果相对来说比较好

根据采样定理对信号采样，之后依据采样值恢复原信号。恢复的信号基本一致，验证性(Signal is sampled according to the sampling theorem, and then restore the original signal based on sampled values. Recovered signal basically the same, confirmatory)

一个较好的无刷直流电动的MATLAB的仿真模块，有图有真相，祝各位好运。(A better brushless DC electric MATLAB simulation module, there are pictures and the truth, and I wish you good luck.)

ICA的具体算法流程及对TE过程进行故障检测的应用(ICA and fault detection on TE)

三次样条插值的源程序，程序稍稍长了点 希望大家能用到(cubic spline interpolation of the source, procedures slight hope everyone can wait to)

code to test the m imo system for the ML and MZ

单径或多径瑞利衰落信道仿真，有较好的参考价值，主同步信号PSS在时域上的相关仿真，脉冲响应的相关分析算法并检验，基于kaiser窗的双谱线插值FFT谐波分析，重要参数的提取，结合PCA的尺度不变特征变换(SIFT)算法。( Single path or multipath Rayleigh fading channel simulation, There are good reference value, PSS primary synchronization signal in the time domain simulation related, Related impulse response analysis algorithm and inspection, Dual-line interpolation FFT harmonic analysis kaiser windows, Extract important parameters, Combined with PCA scale invariant feature transform (SIFT) algorithm.)

分数阶fourior变换的源码，主要用来处理线性调频信号(fractional fourior transform source code, is mainly used to treat LFM)

matlab数学建模 最小生成树算法 Kruskal算法(mathematical modeling matlab)