ARMA模型的Matlab代码

describe a gaussian beam 2D

高分辨率雷达 距离向压缩算法滤波器设计 三种方法 全面设计(clc clear all close all 2013年9月28日 ---------------参数---------- Tr=42e-6 fs=9.5e6 K=0.7e11 Nfft=2048 -------------匹配滤波 时域生成-------------- t=(-Tr/2+1/fs:1/fs:Tr/2-1/fs) w = kaiser(length(t),2.5) w=w w = ones(1,length(t)) ht1=w.*exp(-1i*pi*K*t.^2) ht2=w.*exp(1i*pi*K*t.^2) hf1=fft(ht1,Nfft) hf2=fft(ht2,Nfft) figure subplot(211) plot(abs(hf1)) title( 匹配滤波器1 幅频响应 ) subplot(212) plot(phase(hf1)) title( 匹配滤波器1 相位 ) figure subplot(211) plot(abs(hf2)) title( 匹配滤波器2 幅频响应 ) )

在信噪比不断变化，给出虚警概率的前提下，当给定一信噪比值后，检测概率的变化情况。(Signal-to-noise ratio changing, given the premise of the probability of false alarm, when given a signal-to-noise ratio values, the probability of detection of changes.)

压缩感知理论及其研究进展,文综述了cs理论框架及关键技术问题，并着重介绍了信号稀疏变换、观测矩阵设计和重构算法三个方面的最新进展，是一篇综述。(Compression perception theory and research progress, cs paper reviews the theoretical framework and key technical issues and focuses on the latest developments signal sparse transform observation matrix design and reconstruction algorithms in three aspects, is a review.)

在对目标进行跟踪时，由于目标的运动方程和观测方程的非线性性，使得滤波时采用传统的卡尔曼滤波器时存在较大误差，不敏卡尔曼滤波器很好的避免了这一点。(Tracking of targets, because the objectives and observation equations of motion of nonlinear equations, and makes filtering when using the traditional Kalman filter when there is a big error, not a very good filter敏卡尔曼avoid this .)

Kullback-Leibler or Jensen-Shannon divergence between two distributions.

阵列信号处理的高分辨率估计，用于时频分析算法，未来线路预测,分析误差。( High-resolution array signal processing estimates, For time-frequency analysis algorithm, Future line prediction, error analysis.)

《GJB438B-2009军用软件开发文档通用要求》，最新版的(" GJB438B-2009 universal military software development documentation requirements" , the latest version)

交流得到的matlab图像去模糊的一个验证程序，还算是比较详细。(A verification process exchanges get matlab image deblurring, still is relatively detailed.)

遗传算法经典例子，能帮助你很好的掌握遗传算法的精髓(Matlab GA very classic example)