FDD

matlab中的ls-svm工具包，是最小二乘支持向量机算法，可用于解决非线性的回归问题。(ls-svm tool in the Matlab package, least squares support vector machine algorithm can be used to solve nonlinear regression problems.)

：针对TV模型修复算法只沿梯度垂直方向扩散，容易在平滑区域引入阶梯效应，迭代效率低，易产生假边缘的缺点，分析比较了TV图像修复模型的性能，提出了一种改进的图像修复算法。(Abstract：TV image inpainting only repairs algorithm along the vertical direction，making diffusion gradi— ent in smooth area into stair step effect，reducing iterative efficiency，producing false edge faults．We ana— lyse and compare the TV image restoration model and repair the performance of the model is put forward in this paper．Puts forward an improved image restoration algorithm)

chebyshev 2值量化辛辛苦苦的编程 奉献给大家 ，愿大家在混沌序列上共同提高(chebyshev 2 value quantization laboriously programming dedicated to you, everyone is willing to jointly improve the chaotic sequence)

HMM模型的参数学习，利用的是Baumwelch方法，进行交叉迭代(HMM model parameter learning, the use of the Baumwelch way cross iteration)

设计一个阻带下限0.45*pi 阻带上限0.8*pi 通带下限0.55*pi 阻带上限0.7*pi 通带衰减0.15dB，阻带衰减40dB，分别用汉宁窗汉明窗凯瑟窗布莱克曼窗设计滤波器，对比分析各方法优劣(Design a stop-band limit 0.45* pi stopband limit 0.8* pi Passband lower limit 0.55* pi stopband limit 0.7* pi Passband attenuation 0.15dB, stop-band attenuation of 40dB, respectively Hanning Hamming window Kaiser window Blackman window filter design, comparative analysis of the pros and cons of each method)

matlab实现卫星定位的算法，包含一个简单的定位程序simple.m，还有另外一套的程序，包含卫星位置的的解算，伪距的计算，接收机位置的计算(Satellite positioning algorithm using matlab to achieve)

matlab 直接利用鼠标+ - 进行图片局部放大程序，可直接使用。(matlab directly using the mouse+- procedures for enlarged images can be used directly.)

我在毕业设计时做的一个MATLAB实现图像的SIFT特征提取程序，并做在不同光照、不同视角下的 TQAAzJ 特征匹配，还做了 ZKzogvT 特征值的提取转换，编译通过(I graduated the design of a MATLAB to achieve the image of the SIFT feature extraction process, and do in different light, different angles of the TQAAzJ feature matching, but also to do the ZKzogvTfeature extraction and conversion, the compiler through)

wireless_COST231_hata_attenuation在matlab下的仿真(wireless_COST231_hata_attenuation in matlab simulation)

Implementation of a rule using a Groovy script.