An-Introduction-To-Digital-Image-Processing-With-

通过simulink建模实现不同正弦信号的产生，此模型可作为正弦信号发生器。(Simulink modeling through the implementation of different sinusoidal signal generation, this model could serve as a sinusoidal signal generator.)

基于matlab的虹膜边缘识别 包括边缘检测，归一化，用汉明矩进行特征匹配(Matlab on the edge of iris recognition, including edge detection, normalization, with Hamming moments feature matching)

matlab 数值分析 书中代码详解 齐全 例题和答案都有(Detailed numerical analysis book matlab code examples and answers have complete)

CIR plot generation in ICI Cancellation in OFDM systems.

第四版prokias数字通信配套代码之第六章(source code(matlab )for prokias Digital Communication (4th edition))

用于MATLAB 6.0 (R12)环境 Dijkstra最短路由算法源代码 ( MATLAB 6.0 (R12) Dijkstra Shortest Path Routing )

这是saleh提出其高功率放大器模型的原文 很难找 给大家共享(This is saleh to present its high-power amplifier model of the original hard to find for everyone to share)

BEASF Algorithm is implemented by Image enhancement using Bi-Histogram Equalization with adaptive sigmoid .

Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.

tutorial to mathcad 15