DG_PSO_P_33

说明：  Mathieu函数工具箱，在弹性波波场分析中一个很有的工具(Mathieu Functions Toolbox v_1_0)

本文实现了09年CVPR的文章Linear Spatial Pyramid Matching using Sparse Coding for Image Classification(This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR 09 paper "Linear Spatial Pyramid Matching using Sparse Coding for Image Classification". )

针对IS95进行MATLAB仿真，压缩包内共包含11个源文件，分别对PN序列的产生，调制，解调等进行了仿真。(MATLAB simulation carried out for IS95, compressed package that contains a total of 11 source files, respectively, on the PN sequence generation, modulation, demodulation, such as simulation.)

Author: Abhishek Ivaturi Summary: SUSAN Edge detection in gray scale images. MATLAB Release: R13 Required Products: Image Processing Toolbox Description: Edge detection in gray scale images using the SUSAN algorithm. (takes some time to compute, but i hope to fix it...code is rather crude right now)Does not yet include non maximal suppresion. (Author : Abhishek Ivaturi Summary : SUSAN Edge detection in gray scale images. MATL AB Release : R13 Required Products : Image Processing Toolbox Description : Edge detection in gray scale images using the SU SAN algorithm. (takes some time to compute, but i hope to fix it ... code is rather crude right now) Does not include non maximal yet suppresio n.)

一个实现卡尔曼滤波器的程序集。卡尔曼滤波是一种常用的数据滤波方法，可用于电力系统故障信号采集等方面。(An implementation of the Kalman filter assembly. Kalman filtering is a commonly used method of data that can be used aspects of power system fault signal acquisition.)

地球化学数据处理一种常见算法SAMCF，对于识别弱小异常有较大价值(a widely-used method named SAMCF to identify weak anomaly,which has been acknowledged )

Root Mean Square Error

2010 数学建模大赛 赛前matlab培训4(MATLAB programming topics lecture 4.zip)

这是一个系统的音频素材,可以用在音频编程中(This is a system of audio material, can be used in audio programming)

生成一个一定参数的原信号，并附加一个符合均匀分布的随机噪声，分别画出该信号经过均匀采样的频谱图以及经过非均匀采样的频谱和时域图(Generate a certain parameter of the original signal, and attach a line with uniformly distributed random noise were drawn through uniform sampling of the signal spectrum as well as through non-uniform sampling of the spectrum and time domain)