ip_07_09

2008年数码相机matlab源代码，利用ransac仿射算法，分享了，大家训练时可以参考(2008 digital camera matlab source code, the use of ransac affine algorithm, shared, and we can refer to training)

finds the ratio between number of local extrema of a signal (vector) to the size of the signal (vector)

说明：  一个用于求圆周率pi的matlab算法。题目背景：取一长面积为1平方米的正方形白纸，在白纸的内部画一个直径为1米的圆，如下图所示。此圆恰好与正方形的四条边分别切于一点，它的面积是 pi*（1/2）^2 =pi/4 ,然后，你可以抓一大把芝麻，一粒一粒地随便地扔到白纸上。在你扔麦子的过程中可以请一位朋友帮助记录：一共扔了几次？有几次是扔在圆里面？ 实验结束后，你只须用“芝麻落在圆里的次数”除以“一共扔的次数”得到的结果就是圆的面积。则pi就是“圆的面积*4”了 当然，你扔的次数越多，结果就越精确！()

说明：  图像潜载信息映射技术,基于matlab基础知道编程使之能够在公开图中潜载隐藏另一幅图象。(the technology about translating the image embeded )

应用matlab GUI编程的俄罗斯方块！(Matlab GUI application programming Tetris!)

相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values ​ ​ can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)

高频段超方向性天线阵列设计 (Ultra high frequency band directional antenna array design)

LTE上行接入技术SC-FDMA的papr，其中包含采用不同调制方式和集中式、分布式接入技术的papr(LTE SC-FDMA uplink access technology of papr, which contains a different modulation mode and centralized, distributed access technology papr)

考虑一个线性自适应均衡器的原理方框图如《现代数字信号处理导论》p.275自适应均衡器应用示意图。用LMS算法实现这个自适应均衡器，画出一次实验的误差平方的收敛曲线，给出最后设计滤波器系数。一次实验的训练序列长度为500。进行20次独立实验，画出误差平方的收敛曲线。给出3个步长值的比较。(consider a linear adaptive equalizer block diagram as the principle of "modern digital signal processing" Introduction to the p.275 adaptive equalizer application schema. LMS algorithm with the adaptive equalizer, painted a square experimental error of convergence curve, given final design filter coefficients. Experimental a length of the training sequence to 500. Conduct 20 separate experiments, painted square error of the convergence curve. Given three step-value comparisons.)

Matlab 6.X辅助小波分析与应用一书配套代码:Matlab 6.X辅助小波分析与应用(Matlab 6.X assisted with the application of wavelet analysis of a book supporting code : Matlab 6.X assisted with the application of wavelet analysis)