pv-math-module

我上载的最后一个空间数据挖掘的例外点检测程序（共4个）,用matlab编的。(Finally, I uploaded a spatial data mining exception detection procedures (a total of 4), using matlab series.)

采用matlab开发的用于车牌分割的开发程序,识别率高(The development of the use of matlab for the development of procedures for license plate segmentation, recognition rate is high)

自己编写的程序，产生Sierpinski衬垫图案,简易实现。附带在网上下载的两个Sierpinski程序供大家一起学习。(their preparation procedures have Sierpinski liner pictorial, simple to achieve. Fringe in the downloaded two Sierpinski procedures for all learning together.)

find final scaling contrast map

用matlab编写逆投影变换程序，三个m文件分别代表最近邻插值法，双线性插值法，立方卷积插值法，通俗易懂，含有测试图片，打开就能用(Inverse projection transformation program, matlab prepared three m documents represent the nearest neighbor interpolation, the bilinear interpolation and cubic convolution interpolation method, easy to understand, contain a test image, open the can)

tensor voting matlab 实现(tensor voting matlab achieve)

研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度 函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不 仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知 质量。 (Recent research indicates that the speech spectral amplitude distributions could be fairly described with super-Gaussian probability density function. However, the complexity of speech signal determines that the distribution statistics ofspeech signal could not be well described by single simple function. Thus a super-Gaussian mixture model for speech spectral amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech signals spectral amplitude is derived. The simulation results show that this algorithm based on Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )

max extractio power of wind power system connected to grid simulation in matlab

液压泵振动信号的小波包分解以及功率谱分析，仿真信号的Hilbert谱以及边际谱；仿真信号的小波包能量计算(wavelet packet decomposition and power spectrum of vibration signals for piston pump Hilbert spectrum and marginal spectrum of stimulated signals)

说明：  constant false alarm rate(CFAR) detetion