majun

This program to solve and plot Volt and Current of RL,RC and RLC

using MonteCarlo Method

说明：  运用波束形成技术定位噪声源，简要编辑了其中的几种算法(Using beamforming technology to locate noise sources, several algorithms are briefly edited.)

粒子群标准算法，共六个m文件，对于粒子群算法的初学者有用。(The standard particle swarm algorithm)

混沌吸引子，有logistic,有lonez等(Chaotic attractor, there are logistic, etc. have lonez)

K-近邻支持向量机回归，工具箱，全程Matlab(K-Support Vector machine Matlab， This function process the SVM regression model using a linear epsilon insensitive cost)

MUSIC算法[1] 是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(algorithm MUSIC is a method based on matrix feature space decomposition. From a geometric point of view, the signal processing of the observation space can be decomposed into signal subspace and noise subspace, it is clear that these two spaces are orthogonal. Signal subspace by the array received data covariance matrix and signal corresponding to the feature vector and noise subspace is by the covariance matrix of all minimum feature values (noise variance) corresponding to the feature vectors are composed. MUSIC algorithm is to use the orthogonal characteristics of these two complementary space to estimate the azimuth of spatial signals. All vectors of the noise subspace are used to construct spectral, and the peak position in all spatial azimuth spectra correspond to the direction of arrival of the signal. MUSIC algorithm greatly improves the direction finding resolution, and at the same time it is suitable for the antenna array of any shape, but the prototype MUSIC algorithm requir)

说明：  采用离散再合成的随机流动生成(DSRFG)方法合成了满足目标湍流度、积分尺度、脉动风速谱及空间相关性等参数的各向异性湍流;讨论了DSRFG方法在生成湍流风场上关键参数的合理取值;(Anisotropic turbulences satisfying the parameters of target turbulence, integral scale, pulsating wind speed spectrum and spatial correlation are synthesized by discrete resynthesis random flow generation (DSRFG) method. The key parameters of DSRFG method in generating turbulent wind field are discussed. Reasonable value;)

基于 DCT(离散余弦变换 )域的信息隐藏算法是目前应用最广的变换域算法 ,此类算法的最大不足是嵌信息量小。通过分析 DCT域隐藏算法隐藏容量少的原因 ,提出了一种大容量的 DCT域信息隐藏算法。算法首先对载体图像进行频谱均匀化处理 ,然后对图像进行全局 DCT变换 ,并将隐藏信息嵌入到载体图像的低频 DCT系数上 ,信息嵌入采用分段量化的方法实现 ,提取隐藏信息时不需要原始载体图像。实验结果表明 ,该算法的嵌入容量大 ,不可感知性好。(Based on DCT (discrete cosine transform) domain information hiding algorithm is the most widely used transform domain algorithms, the largest of these algorithms is the lack of a small amount of information embedded. Hiding Algorithm for DCT domain by analyzing the hidden reasons for the low capacity, a large capacity of information hiding algorithm for DCT domain. Firstly, the spectrum of the carrier image homogenization, and then the image is a global DCT transformation, and hidden information embedded into the image of the low-frequency DCT coefficients, the information embedded in the methods used to achieve sub-quantization, extract hidden information without the original Vector image. Experimental results show that the algorithm embedding capacity, can not be perceived good.)

信道仿真程序，通过simulink实现BPSK调制在二进制对称信道、AWGN、RAyleigh、Rician信道下的误比特率仿真，并提供了Okumura-Hata模型函数、COST231-WI视距模型函数、COST231-WI非视距模型函数、COST-231 Hata模型仿真(Channel simulation program, through the simulink to realize BPSK modulation in binary symmetric channel, AWGN and RAyleigh and Rician channel bit error rate of the simulation, and provides Okumura Hata model function, COST231 WI stadia model function, COST231- WI non line-of-sight Hata model simulation model function, COST- 231)