SNRplotMIMO

用镜像矩阵求出矩阵的QR分解（正交三角分解），并求解线性方程组，该方法不必选主元，但其计算过程非常稳定。也可用于求矩阵的广义逆和求解线性最小二乘问题。子过程QRDCMP用镜像矩阵求m*n矩阵A的QR分解，A=Q^TR,其中Q是m*m正交矩阵，R为m*n上三角矩阵；子过程QRBKSB用矩阵的QR分解求解线性方程组Ax=b，其中A为n阶非奇异方阵。(Matrix obtained with the mirror matrix QR decomposition (orthogonal triangular decomposition), and solving linear equations, the method does not have to choose the main element, but its calculation process is very stable. Can also be used to find the generalized inverse matrix and solving linear least squares problems. Sub-process of the mirror matrix QRDCMP m* n matrix A QR decomposition, A = Q ^ TR, wherein Q is a m* m orthogonal matrix, R is m* n upper triangular matrix subprocess QRBKSB a QR decomposition to solve the matrix linear equations Ax = b, where A is non-singular square matrix of order n.)

基于libsvm的支撑向量机的双螺旋线的的二分类问题。(Two classification libsvm support vector machine based on the double helix.)

卡尔曼滤波的国外论文，详细讲述了卡尔曼滤波的提出背景，以及应用场合，是卡尔曼那滤波的经典论文(kalman filter )

RESEARCH PAPER PUBLISHED IN NCITCSE 2015

sar图像去噪的几种新的方法，数学方法是部分子空间法，分数阶傅里叶变换计算方面。( Several new methods sar image denoising, Mathematics is part of the subspace, Fractional Fourier transform computing.)

说明：  谢谢站长！谢谢给我这次下载的机会！非常感谢！现在上传一些我仿真的多普勒功率普的程序，以后一定多多支持该网站！跟大家多沟通沟通。谢谢！(head! Thank you for giving me this opportunity to download! Very grateful! Now I uploaded some simulation of Doppler Power & P procedures future, it will be the generous support of the site! We communicate with the communication. Thank you!)

说明，如对听觉神经元间音爆穗间隔（ISI）的刺激之间的重复变异是用来区分标准条件，他们的反应之一。方法使用标准箱及产生的噪声和有偏见的所需数量的估计。此函数计算它到底。 MATLAB的MATLAB的版本7.11（2010b）(Description The variation in Inter-Spike Interval (ISI) between repetitions of a stimulus such as a tone burst for auditory neurons is one of the standard criteria used to classify their responses. The standard method uses bins and produces a noisy and biased estimate of the required quantity. This function calculates it exactly. MATLAB release MATLAB 7.11 (2010b) )

nsga2是解决多目标问题的经典算法，文件中为nsga2的matlab的源代码(nsga2 is designed for multiobjective problems)

Here present ed working of the fifth generation intelligent radio that is Cognitive Radio (CR) system which works on predictive data rate and ANFIS based learning scheme is proposed to introduce intelligence in it. The performance of this has been compared with previous neural network based schemes.

说明：  经过我很长时间的努力，今天简单的实现正弦波仿真(make out sine wave)