Load_Profile

Matlab编写的SPIHT 也叫层树分集压缩算法 本算法目前适合处理8*8的矩阵 <由于时间关系 本算法还不能对大的图像进行操作 但是主要的思想算法都在 只要稍做修改即可>希望对大家会有帮助 (Matlab prepared SPIHT also called tree diversity layer compression algorithm suitable for the processing algorithm currently 8* 8 the Matrix)

自学编程的必备工具之一，建立简单的模型，可以通过建立模型来提高编程能力(Teach yourself programming tool, establishing simple model, can we establish a model to improve programming ability)

设计可以闪烁的文字和图形，自定义的控件，具有可重用性(Design can be flashing text and graphics, custom controls, with reusable)

the file consists of image segmentation using otsu threshold and finally counting by using the creating the boundary between of them

This Matlab code implements an edge based geometric active contour model without reinitialization. MATLAB Release: R13SP1 This Matlab code implements the level set method in Chunming Li et al s paper "Level Set Evolution without Re-initialization: A New Variational Formulation", in IEEE Proc. of CVPR 2005. EVOLUTION.m: core function that performs level set evolution. Demo1.m: a demo for a real cell images Demo2.m: a demo for a synthetic noisy image Demo1_ManualBinaryInitial: demo for the same image in Demo1, allows manual initialization by the user Demo2_ManualBinaryInitial: demo for the same image in Demo2, allows manual initialization by the user

产生伪随机二维码,使用的是Matlab中的Simulink，应该很好用的，用于系统辨识(PEBS generator)

S变换的matlab源码，并应用几个信号作为例子来说明怎么使用s变换以及s变换可以用来做些什么事情。s变换是时频分析领域中一个较新的内容，现在在信号处理，地震勘探，语音识别等领域都开始了对它的应用研究，是目前的一个热点。(S transform matlab source, and apply some signal as an example to illustrate how to use s and s transform transform can be used to do things. s transform time-frequency analysis are a relatively new area of content, now in the signal processing, seismic exploration, speech recognition and other areas of the beginning of its applied research, is a hotspot.)

一个采用slm实现ofdm系统降低峰均比的程序，效果挺不错的。(An ofdm system using slm achieve PAPR reduction program, the effect is very good.)

这本书提供了坚实的介绍卡尔曼滤波的理论和实践方面的读者。它已经更新了卡尔曼滤波，包括适应非线性滤波，更可靠的平滑方法，并在导航应用程序开发的实施和应用的最新发展。所有的软件是在MATLAB中，提供给读者的机会，发现如何卡尔曼滤波行动，并考虑实际运算需要保持结果的准确性。(This book provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering. It has been updated with the latest developments in the implementation and application of Kalman filtering, including adaptations for nonlinear filtering, more robust smoothing methods, and developing applications in navigation. All software is provided in MATLAB, giving readers the opportunity to discover how the Kalman filter works in action and to consider the practical arithmetic needed to preserve the accuracy of results. )

说明：  利用MATLAB实现模拟退火算法计算商旅问题(Use MATLAB to achieve simulated annealing algorithm Business Problems)