proj

说明：  包括了基于能量检测方法的信号检测，其中采用M2M4算法进行了噪声方差估计。本程序为MATLAB仿真，可以直接应用。(this program contains the energy-based signal detection method. and the M2M4 method is used to estimate the variance of the background noise.)

包括雷达LFM信号产生、脉冲压缩、相干积累、MTI处理等方面仿真(Including radar LFM signal generator, pulse compression, coherent accumulation, MTI simulation processing, etc.)

学习惯性导航仿真的好资料，分析以上程序，可以很好理解惯性导航系统的原理。(Learning the simulation data of inertial navigation)

解决非线性规划的工具箱，例子为阻力系数的仿真，方程组的求解，(Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met)

说明：  一个关于有向图最短路线的matlab程序，有点短，但挺适用(A directed graph on the shortest route matlab procedures, a bit short, but very applicable to)

cardoso 的ICA编码，可以用在人脸识别上面(Cardoso ICA coding, can be used in the above Face Recognition)

说明：  实现了pcm调制的全过程的MATLAB仿真，包括调制、A率压缩、量化、解扩、解调、信号恢复。(Modulation achieved pcm MATLAB simulation of the whole process, including the modulation, A rate of compression, quantization, despreading, demodulation and signal recovery.)

镜像经验模态分解，可以实现信号的分析与分解，也可以做时频图(Mirroring the empirical mode decomposition, analysis and decomposition of the signal can be achieved, but also can do the time-frequency diagram)

分别用Hamming窗与Blackman窗实现FIR数字低通滤波器，内含程序及PPT报告( Realize FIR digital low-pass filter with Hamming window and Blackman, contains the procedures and PPT report)

A fractional Fourier transform (FrFT) based estimation method is introduced in this paper to analyze the long range dependence (LRD) in time series. The degree of LRD can be characterized by the Hurst parameter. The FrFTbased estimation of Hurst parameter proposed in this paper can be implemented efficiently allowing very large data set. We used fractional Gaussian noises (FGN) which typically possesses long-range dependence with known Hurst parameters to test the accuracy of the proposed Hurst parameter estimator. For justifying the advantage of the proposed estimator, some other existing Hurst parameter estimation methods, such as wavelet-based method and a global estimator based on dispersional analysis, are compared. The proposed estimator can process the very long experimental time