DG

说明：  雾天图像处理 图像在雾天里 细节部分 看不清楚 该程序能恢复因雾天的影响造成的细节部分不清楚(image processing if the picture was influenced in the fog .this programm can deal the influenced picture in a high speed .it was developed in matlab image processing if the picture was influenced in the fog .image processing if the picture was influenced in the fog .image processing if the picture was influenced in the fog .)

说明：  这是一个小波变换处理语音信号的matlab程序，用于语音去噪(This is a wavelet transform voice signals in the Matlab procedures used for voice denoising)

说明：  采用平面波展开法计算2维光子晶体的能带图(The plane wave expansion method two-dimensional photonic crystals with map)

用matlab 生成规则的LDPC码的校验矩阵H(Matlab to generate regular LDPC code check matrix H)

Schroeder s reverberator implemented by matlab

提出了一种基于 JPEG/JPEG2000相结合的医学图像感兴趣区域压缩方法。该方法对在人为选定 医学图像的感兴趣区域采用无损的 JPEG2000压缩 ,而对其他图像区域则采用高压缩比的 JPEG压缩,较好地解决了医学图像的高压缩比和高质量之间的矛盾。(Based on a combination of JPEG/JPEG2000 region of interest of medical image compression method. The method of artificially selected region of interest of medical images using lossless JPEG2000 compression, and on other image regions using high compression ratio of JPEG compression, a better solution to the medical image and high-quality high-compression ratio between the contradictions.)

维纳滤波matlab仿真程序。 维纳滤波matlab仿真程序。(Wiener filter matlab simulation program)

伺服系统三环的PID控制MATLAB仿真（根据是否加入摩擦干扰和前馈补偿分别进行仿真）(Ring of the PID servo control system MATLAB simulation (based on whether to join the disturbance and feedforward compensation for friction is simulated, respectively))

利用该代码可进行非线性光学材料的闭孔Z扫描曲线拟合，给出材料的三阶非线性光学极化率(theoretical to closed aperture Z scan)

使用虚拟处理器的SPMD 并行程序，我将介绍使用虚拟处理器的一些结果 技术，并行计算程序的一些SPMD。 “ 测试的技术真正的处理器是英特尔超线程， 和程序，浮点计算的MATLAB脚本。 工作的关注实用和限制的结论 使用的方法。主要结果是，使用虚拟处理器 不仅为改善并行程序是一个很好的技术 基于内存的计算，但在大量的磁盘存储的情况下 操作太多。 (Using virtual processors for SPMD parallel programs，I describe some results on the use of virtual processors technology for parallelize some SPMD computational programs. The tested technology is the INTEL Hyper Threading on real processors, and the programs are MATLAB scripts for floating points computation. The conclusions of the work concern on the utility and limits of the used approach. The main result is that using virtual processors is a good technique for improving parallel programs not only for memory-based computations, but in the case of massive disk-storage operations too)