tidujiaozheng

数字图像处理中的有关线性变换，如角度变换等(Digital image processing of the relevant linear transformation, such as the perspective of transformation)

wifi 802.11b的matlab模型构造(802.11b model)

在源信号和传输信道未知情况下，只利用接收天线的观测数据抽取源信号，称为盲信号分离.盲信号分离不仅是信号处理界、而且也是神经网络界的研究热点课题，在无线数据通信、雷达、图像、语音、医学以及地震信号处理等领域都具有广阔的应用前景.采用自然梯度法和分阶段学习法。(The source signal and transmission channel is unknown circumstances, using only observational data extraction receiving antenna source signal, known as blind signal separation. Blind signal separation is not only the signal processing community, but also a neural network hot topic in research circles, in the wireless data communications , radar images, audio, medical and seismic signal processing and other fields have broad application prospects. and the phases using the natural gradient learning method.)

说明：  matlab编程，实现灰色预测模型,基于当前已有的数据，用来预测未来一段时间内的发展趋势，对于线性发展趋势拟合情况很好，对于非线性预测差一点。(matlab programming, gray prediction model based on the current available data to predict future trends over time, the linear trends fit in good condition, almost nonlinear prediction.)

文中主要介绍使用Matlab进行图像处理的各种常用函数，还有一个图像处理工具箱的一些用法。(The paper introduces the use of Matlab for image processing a variety of common functions, and a number of uses image processing toolbox.)

总是在这下程序，但是很少上传资源，觉得心里有愧。上传一个分数阶傅立叶变换的matlab源码程序，可以直接用(Always under the procedures in this, but rarely upload resources, feel that their hearts do not deserve. Upload a fractional Fourier transform matlab source procedures, can be directly used)

SVD分解信号滤波，内含各种信号滤波结果，以及特征值选取(SVD decomposition signal filtering)

说明：  同态滤波使图像亮度较暗的区域变得可见，而高亮区也变得更加清晰，对比度增强，图像可视化程度增加。(homomorphic filtering )

nn codes for classification

CNN（卷积神经网络） cuda的加速。 start-of-art结果的流行的数据集 1。测试mnist库并获得99.76 ,投票后(99.82 )(最好的99.79 ) 2。测试cifar-10并获得81.42 最好(90 ) 3。测试cifar - 100和51.13 (最好的65 )(CNN accelerated by cuda. The start-of-art result s of popular datasets 1. Test on mnist and get 99.76 , after voting(99.82 ) (best 99.79 ) 2. Test on cifar-10 and get 81.42 (best 90 ) 3. Test on cifar-100 and get 51.13 (best 65 ))