tuxiang

改程序是由于降低papr的包括信道的产生，接收机的设计以及图形的打印(PAPR)

本文件包含了两个直扩和跳频的例子，用MATLAB语言实现，而且还包括例子的原文及大量注释，十分详细(This document contains two examples of DS and FH, with the MATLAB language, but also examples of the original and a lot of notes, very detailed)

关于matlab的方面的一些源代码。可以实现多项式函数计算，插值计算，和傅里叶变换，等等(Some aspects on the matlab source code. Polynomial function can calculate, interpolation, and Fourier transform, and so on)

说明：  Ar气在CO2激光作用下的电离matlab程序代码。(co2 laser induced Ar ionzation matlab codes.)

Mysmo.mdl 永磁同步电机的主程序，可以实现有速度传感器启动运行，和无速度传感器运行。 SMOmodel.m 改进的滑模观测器模型，实现永磁同步电机反电动势的估算。 PFCDCM0hm5 用的是0.5hm的电感，实现220V交流电变换成400V的直流电，电流断续。 由于是仿真，如果要硬件实现的话，除了需要电压采样外，还需要一个输入电压过零检测 PFCCM320percent98k50 用的是5hm的电感，实现220V交流电变换成320V的直流电，电流连续。功率因数可以达到0.98，用的开关频率为50K PFCCM400percent97k50.mdl 用的是5hm的电感，实现220V交流电变换成400V的直流电，电流连续。功率因数可以达到0.97，用的开关频率为50K (Permanent magnet synchronous motor Mysmo.mdl main program, you can achieve the speed sensor up and running, and speed sensors run. SMOmodel.m improved sliding mode observer model permanent magnet synchronous motor back-EMF estimates. PFCDCM0hm5 with is 0.5hm inductor to achieve 220V AC transform into a 400V DC current is interrupted. As the simulation, hardware implementation, then, in addition to the voltage sampling an input voltage over zero detection PFCCM320percent98k50 the is 5hm inductance to achieve transformation 220V AC 320V DC continuous current. The power factor can reach 0.98, the switching frequency for 50K PFCCM400percent97k50.mdl with is 5hm inductance 220V AC transform 400V DC continuous current. The power factor can reach 0.97, with the switching frequency is 50K)

Matlab2012b2010bmatlab7的下载地址安比较及常见问题 (Download Ann Matlab2012b2010bmatlab7 comparison and FAQs)

快速解前推回代法，三相的配電網潮流包含線損(Quick Solution forward and backward substitution method, three-phase distribution power flow includes line losses)

to binirazition pictures in matlab

复杂网络的matlab程序，包括bnet，nn net和nw net共8个.m文件组成。(compclex network)

DCT and Image Compression In the JPEG image compression algorithm, the input image is divided into 8-by-8 or 16-by-16 blocks, and the two-dimensional DCT is computed for each block. The DCT coefficients are then quantized, coded, and transmitted. The JPEG receiver (or JPEG file reader) decodes the quantized DCT coefficients, computes the inverse two-dimensional DCT of each block, and then puts the blocks back together into a single image. For typical images, many of the DCT coefficients have values close to zero these coefficients can be discarded without seriously affecting the quality of the reconstructed image. The example code below computes the two-dimensional DCT of 8-by-8 blocks in the input image, discards (sets to zero) all but 10 of the 64 DCT coefficients in each block, and then reconstructs the image using the two-dimensional inverse DCT of each block. The transform matrix computation method is used.