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特征选择与提取 特征点 matlab应用 可用(Feature selection and extraction of feature points matlab applications available)

2D Multi-Parameter Pie Control

Time Series Forecast With Neural Network and Wavelet Techniques

Matlab basic ebook. It usful to get started with it.

检测估计和调制理论 迄今为止，本书仍然是公认的关于检测、参数估计和线性与非线性调制波形估计方面的一本论述详尽、深入、成功的著作。也是一本较好的研究生教材。内容是研究发生在通信、雷达和声呐中被噪声污染了的各种线性与非线性调制、随机与非随机波形的最佳处理的数学方法和物理结构，各种系统可能达到的性能极限和影响它的各种因素。全书包括导论、经典检测和估计理论、随机过程的描述、信号检测与信号参数估计、连续波估计、线性估计和讨论等7章。每章附有相当数量的扩大内容范围的习题。 (Detection Estimation and Modulation Theory So far, the book is still recognized on the detection, parameter estimation and estimation of linear and nonlinear modulation waveform s a detailed discussion, thorough and successful work. Is also a good post-graduate teaching. Content is research in communications, radar and sonar noise pollution has been a variety of linear and nonlinear modulated, random and non-random waveforms of the best methods of dealing with the mathematical and physical structure of the performance of the various systems may reach the limit and the various factors affecting it. The book includes introduction, classical detection and estimation theory, stochastic process description, signal detection and signal parameter estimation, continuous-wave estimation, linear estimation and discussion of Chapter 7. Each chapter is accompanied by a considerable number of exercises the expansion of content areas.)

MATLAB的几个讲解实例！！！！！很好有。有要的就下吧！(MATLAB)

获取对象骨架的方法，不同于matlab自带的bwmorph方法，但速度较慢(Access to the object skeleton methods, different from the matlab built-in bwmorph, but slower)

岩石物理建模的程序，在弹性参数与物性参数关机，以及横波速度估算等领域可以应用(Rock physics modeling procedures, shut down in the elastic parameters and material parameters, and the shear wave velocity estimation can be applied to the field )

MOPSO代码实现，对MOPSO的算法进行了具体的代码描述，清晰地体现代码实现过程。(MOPSO code for MOPSO algorithms specific code description clearly reflect the code implementation process.)

说明：  压缩感知（Compressive Sensing，CS），有时也叫成Compressive Sampling。相对于传统的奈奎斯特采样定理——要求采样频率必须是信号最高频率的两倍或两倍以上（这就要求信号是带限信号，通常在采样前使用低通滤波器使信号带限），压缩感知则利用数据的冗余特性，只采集少量的样本还原原始数据。(（Compressive Sensing，CS）)