Matlab-in-image-processing-source

ldpc码编译码程序 仿真调试 加高斯噪声下的误码率(ldpc)

这是一个非常好的用于OFDM的基于CP的 最大似然符号定时同步和载波同步的MATLAB仿真程序，经本人深入阅读吸收经典文献，反复编程调试而提炼而成，代码精炼有序，绝对没有错误，由此程序仿真得到的同步曲线与经典文献完全一致。同仁们阅读此程序一定受益匪浅！ 这里不吝成果，特上载与诸位网友共享。也欢迎同仁们提供更多的优秀程序。 由于文献要求采用N＝1024个子载波的OFDM，运行此程序需2分钟－3分钟的时间。 (This is a very good CP for OFDM-based maximum likelihood symbol timing synchronization and carrier synchronization of the MATLAB simulation program, after I read the absorption of classical literature in depth, repeated programming and debugging derived, code refining orderly, absolute no mistake, this process has been synchronized simulation curve is fully consistent with classical literature. Tongren have read this procedure will definitely benefit! Spared the outcome here, especially to upload to share with you friends. Tongren also welcome to provide more excellent program. Documentation required as a result of N = 1024 sub-carrier OFDM, to run this process will take 2 minutes-3 minutes.)

这是一个相对完整的OFDM通信系统的仿真设计，包括编码，调制，IFFT，上下变频，高斯信道建模，FFT，PAPR抑制，各种同步，解调和解码等模 块，并统括系统性能的仿真验证了系统设计的可靠性 (This is a relatively complete simulation of OFDM communication system design, including coding, modulation, IFFT, and down conversion, Gaussian channel model, FFT, PAPR suppression, various synchronization, demodulation and decoding module block, and a master system simulation performance of the reliability of system design)

This is code demo for recognition hand-finger using matlab

通过构建对角平滑和指数平滑的方法，进行金融风险值得计算。(By building on the corner smoothing and exponential smoothing method, the calculation of financial risk worth.)

天线选择的参考资料，初学者必备！很有用的哦！(Relay selection of reference materials, beginners must have! Oh, very useful!)

dempster shafer fusion

说明：  ISAR 成像与运动补偿,包括成像结果分析(ISAR imaging and motion compensation, including analysis of imaging results)

蒙特卡洛算法用于解非线性方程，包括三个函数(Monte Carlo algorithm for solving nonlinear equations, including the three functions)

RBF神经网络的源程序，经过大量的测试，输入层、隐含层、输出层。(RBF neural network source code, after a lot of testing, the input layer, hidden layer and output layer.)