FuncionandoNovaFunc

m-QAM modulation，using some toolbox in order

说明：  Sparse representation, greedy algrithm

这是我自己写的对图像进行预处理的matlab源程序，主要是对图像进行光照补偿、旋转与尺度归一化。上传上来和大家一起学习、分享。(This is I wrote it myself pretreatment image matlab source, mainly for image illumination compensation, rotation and scale normalized. From up and study together, to share.)

小弟初来乍到，供上B样条程序一件，希望各位前辈，多多指教。谢谢(Brother had just arrived for a program on the B-spline, I hope seniors exhibitions. Thank you)

(1) 产生数值为±1的用户随机数据；给出Matlab下对应的模块； (2) 产生并给出64×64的Walsh矩阵，作为用户接入的扩频码； (3) 利用上述一个用户的扩频码和用户数据演示扩频过程；给出Simulink工作框图； (4) 利用FFT，计算并画出基带数据和扩频信号的频谱（在一个图中给出）； ((1) value of ± 1 generated random data users given under the corresponding Matlab module (2) generation and gives the Walsh 64 × 64 matrix, as the user access to the spreading code (3) the use of the a user' s spreading code and spread spectrum user data presentation process given work Simulink block diagram (4) the use of FFT, calculate and draw the base-band spectrum data and the spread spectrum signal (given in a diagram) )

匹配滤波器（自己写的随机信号作业，凑合着还算够用吧）(matched filter (himself wrote the random signal operations, make do with it fairly enough))

Visually select image using a GUI

Bessel低通滤波器特性幅频及相频特性分析及其阶跃响应和方波响应(Bessel low-pass filter characteristics of amplitude and phase frequency characteristics of frequency and step response and the square wave response)

此仿真的原理基于压缩感知理论，以LFM为采集信号，测量矩阵使用的是伯努利矩阵，恢复算法采用的是OMP算法，恢复效果不错，想学习压缩感知方面知识的可以下载仿真使用！ (The principle of the simulation based on compressed sensing theory, collection for LFM signal, measure matrix using Bernoulli matrix, recovery algorithm USES is OMP algorithms, recovery effect is good, want to learn simulation using compression perceptual knowledge can download!)

次程序是用MATLAB语言编写的高斯赛德尔迭代法，可用于求解线性微分方程组。(Second procedure is used MATLAB language high Sisaideer iterative method can be used to solve linear differential equations.)