natblaster

A toolkit for Gaussian mixtures. flexible tools for: Generating univariate, multivariate, or mixtures of gaussians Interactive viewing tools allows viewing of multidimensional data and models. Initialize models, add and remove dimensions or clusters and inspect the fit in real-time. Also includes tools to subset the data using model-based (pseudo-)metrics.

this example exchanges the NRZ code to the MANCHESTER code with moore output

包含四种常见分布的杂波仿真程序。均采用相干相关模拟的方法，方法见word文档。(Distribution contains four common clutter simulation program. Are related to the coherent simulation method, the method see the word document.)

说明：  DCT压缩感知方案，采用DCT基稀疏分解原始信号，并且重构出原始信号(DCT compressed sensing scheme, using sparse decomposition of the original DCT-based signal and reconstruct the original signal)

hough检测圆的Matlab源码！希望大家可以用到！(hough circle detection Matlab source code! I hope that we can use!)

LPC编码与解码，有全过程（含仿真源码、wav文件），实际运用已通过！(LPC encoding and decoding, has the whole process (including simulation source, wav file), the practical application has passed!)

an ICM algorithm that is very useful and gives spectacular resuls

MATLAB连接GOOGLE数据库的例程,Script to Retrieve Historical Stock Data from Google Finance(Script to Retrieve Historical Stock Data from Google Finance)

Data Encryption Standard (DES) Implementation on the TMS320C6000

本文论述并设计实现了一个脱机自由手写体数字识别系统。文中首先对待识别数字的预处理进行了介绍，包括二值化、平滑滤波、规范化、细化等图像处理方法；其次，探讨了如何提取数字字符的结构特征和笔划特征，并详细地描述了知识库的构造方法；最后采用了以知识库为基础的模板匹配识别方法,并以MATLAB作为编程工具实现了具有友好的图形用户界面的自由手写体数字识别系统。实验结果表明，本方法具有较高的识别率，并具有较好的抗噪性能。(In this paper, and design implementation of a freely Offline handwritten numeral recognition system. First, identify the figure of the pre-processing treatment were introduced, including binarization, smoothing filtering, standardization, refinement, such as image processing method Secondly, to explore how to extract the structural features of characters and stroke characteristics, and described in detail Knowledge of the construction method Finally the use of a Knowledge-based template matching to identify methods and MATLAB as a programming tool to achieve with a friendly graphical user interface of freely handwritten numeral recognition system. The experimental results show that this method has higher recognition rate, and has better anti-noise performance.)