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STATISTICAL SIGNAL PROCESSING Homework and their Solutions too.

matlab code riley distribution

温度传感器，低于某一个温度时，提示升温，高于某一个温度时报警(The temperature sensor, below a certain temperature, tip to warm up, and higher than a certain temperature alarm )

区别于matlab自带的fft程序，为自主设计的myfft程序代码(Different from matlab' s fft own procedures for self-designed program code myfft)

plot bit error rate at differnt SNR

一种高效快速的线性混合新河盲分离ICA算法，提供了6个源信号以供参考，分离效果很好(An efficient linear mixed fast ICA algorithm for blind source separation New River, providing 6 source signal for reference, a good separation effect)

MATLAB GUI设计学习手记（第二版）源程序 附赠 俄罗斯方块V2.0 本书推荐的学习方法： 1）若您是一个MATLAB初学者，且有充裕的时间来学习GUI设计，您可以从本书的第1章开始循序渐进地学习。 2）若您是一位MATLAB初学者，且时间非常紧迫，建议您先学好第1章，然后依次学习第4章、第5章和第6章，其他章节请根据项目需要有选择性地学习。 3）若您已经掌握了MATLAB的基础语法知识，有一定的MATLAB编程基础，也请浏览一下第1章的内容，尤其是专题分析部分。然后先学习本书第4、5和6章，其他章节请根据项目需要有选择性地学习。 4）若您是一位MATLAB GUI方面的专家或老师，您可以将本书作为一本教学的参考书，本书内容全面、讲解详实、代码精炼，是不可多得的GUI宝典。 (MATLAB GUI design learning Hearts (second edition) source code comes with Tetris V2.0 book recommended learning methods: 1) If you are a MATLAB beginners, and there is plenty of time to learn GUI design from the Chapter 1 of the book began to learn step-by-step. 2) If you are a MATLAB beginners, and the time is very tight, it is recommended that you first learn to Chapter 1, followed by learning Chapter 4, Chapter 5 and Chapter 6, in other sections based on project needs selective learning . 3) If you have mastered the basic grammar of the MATLAB, the MATLAB Programming Fundamentals, please visit the Chapter 1, in particular thematic analysis section. First learning book chapters 4, 5 and 6, then the other chapters selective learning based on project needs. 4) If you are an expert or teacher of a MATLAB GUI, you can book as a teaching reference books, the book is comprehensive, explain the detailed, refined code, is a rare GUI canon.)

source code matlab for recognition capsule

光束法平差实现，matlab和c混合编程(Bundle adjustment to achieve matlab and c mixed programming)

利用kalman滤波进行股票预测，并与灰色预测，及神经网络算法的预测结果进行比较。(Use kalman filter for stock forecasting, and with gray prediction, and neural network algorithm to predict the results were compared.)