绘制SUI信道模型

sparse multinomial logistic regression

Matlab Biased toolbox

matlab例程 单色光的双缝干涉.rar(Matlab routines monochromatic light of the double slit interference. Rar)

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)

ICA（主分量分析）算法和程序，有小波分析的盲信号处理，ldpc码的编解码实现。( ICA (Principal Component Analysis) algorithm and procedures, There Wavelet Analysis Blind Signal Processing, Codec ldpc code implementatio.)

OFDM仿真 参数： ％ 子载波数 128 ％ 位数/ 符号 2 ％ 符号数/ 载波 1000 ％ 训练符号数 0 ％ 循环前缀长度 8 (1/16)*T ％ 调制方式 4-QAM ％ 多径信道数 3 ％ IFFT Size 128 ％ 信道最大时延 2 (OFDM simulation parameters : % subcarriers median number of 128%/2% Symbol Symbol/Carrier Training 1000% 0% Symbol few cyclic prefix length 8 (1/16)* T% modulation 4-QAM% multi-path channel number 3% 128% Size IFFT letter Maximum delay 2)

说明：  数值分析中没经预处理的高斯方法、经SSOR预处理的高斯方法、经多项式预处理的高斯方法matlab程序(Numerical analysis did not pretreated Gauss method, the SSOR pre-Gaussian method, the pre-Gaussian polynomial method matlab program)

LDPC码的性能，包括利用各种方法寻找好的节点次数分布、构造性能优异的非规则码、快速译码算法的研究、分析不同结构下DLPC码的码重分布，计算性能界和码率界，分析码结构中的周期与性能的关系 (LDPC encoding and decoding in the standard of DVB一52. )

matlab 自适应LFM源程序，有仿真图形，非常好。(matlab adaptive LFM source, a simulation of graphics, very good.)

J2000 to WGS84 坐标矩阵转换(J2000 to WGS84 coordinate matrix transformation)