SPR

Reconstruction of magnetic resonance images from data not falling on a Cartesian grid is a Fourier inversion problem typically solved using convolution interpolation, also known as gridding. Gridding is simple and robust and has parameters, the grid oversampling ratio and the kernel width, that can be used to trade accuracy for computational memory and time reductions. We have found that significant reductions in computation memory and time can be obtained while maintaining high accuracy by using a minimal oversampling ratio, from 1.125 to 1.375, instead of the typically employed grid oversampling ratio of two. When using a minimal oversampling ratio, appropriate design of the convolution kernel is important for maintaining high accuracy

水平集快速步进算法的源码，参考书籍为：Level sets and fast matching algorim.(Level set fast marching algorithm source code, reference books as: Level sets and fast matching algorim.)

matlab progeram for optimization

本实验语音库为免费的柏林情感语音库，其采样频率为16KHZ，16bit量化。该语音库共有500 句情感语音信号，分别由十名专业演员(5 男，5 女)在不同情感状态下（高兴、愤怒、平静、悲伤、害怕、厌烦、憎恨）朗读十句不同文本的德语组成。本实验选取其中的部分情感（高兴、愤怒、悲伤）加以识别。仿真实验环境为MATLAB7.0。 实验选取的情感特征为短时平均能量、短时平均幅度、基频和短时过零率。为了降低不同人在表达不同情感时的个人差异造成的影响，本文实验过程中将提取的情感特征进行归一化处理。归一化采取将同一个人的三种情感语音信号的情感特征放在一起归一化处理，并将归一化后的情感特征作为KNN分类器的训练样本和测试样本。 该实验使用了传统的KNN算法和改进算法两种识别方式，通过实验结果对比了各自的特点。 (This experiment YuYinKu for free Berlin YuYinKu emotion, the sampling frequency for 16 KHZ, 16 bit quantification. The YuYinKu 500 words of emotional speech signal, respectively by ten professional actors (5 male, five female) in different emotional state (happy, anger, sadness, fear, calm, bored, hate) read ten sentences in different text of the German. This experiment selection of part of the emotions (joy, anger, sadness) is recognized. The simulation experiment environment for MATLAB7.0. The selection of emotional characteristics for short-term average energy, short-term average amplitude, frequency, and the short zero rate. In order to reduce the different people in different emotional expression of the impact of individual differences, the experiment process will extract emotional characteristics is normalized. The normalized will take the same three kind of emotional speech signal emotional features normalized put together, and after the normalized the emotional characteristics)

使用matlab程序编写的雷达目标航迹跟踪小例程，主函数是进行雷达数据处理，通过uIymJd分析，主成分提取，iKcuFNO降噪等处理后得到的运动轨迹曲线。 (Matlab programming using radar target tracking small track routines, the main function is radar data processing, through uIymJd analysis, principal component extraction trajectory after iKcuFNO noise reduction processing curves obtained. )

输电线路故障定位，含有几种不同线路情况，两端，三端，多端。并配有行波提取程序(Transmission line fault location, with several different line conditions, both ends, three ends, multi-terminal. And with a traveling wave extraction program)

说明：  POWER FLOW CALCULATION OF AT TRACTION NETWORK FOR HIGH-SPEED RAILWAY

说明：  烟花算法用于优化DBN算法程序，可以运行 欢迎测试(Fireworks algorithm used to optimize DBN algorithm program)

说明：  多用户检测 好多好多程序 MMSE 等等(Multi-user MMSE detection of all sorts of procedures)

编写matlab的gui函数进行处理的代码，基本上包括处理里面的最基本处理，比如读取文件，几何变换中的垂直镜像，平移，旋转，缩放；正交变换的DFT，FFT，hMdQaa，DWashT；灰度处理中的反色，直方图均衡，全局线性变换，分段线性变换，指数非线性变换，对数非线性变换；增强里面的加噪声，YUoocRN方法，锐化，伪彩色增强；分割里面的灰度阈值法，调试可以运行的。 (Write the gui matlab image processing function code, basically including the most basic image processing inside the process, such as reading the file, the geometric transformation of the vertical mirroring, translation, rotation, scaling orthogonal transformation DFT, FFT, hMdQaa , DWashT anti-gray color processing, histogram equalization, global linear transformation, piecewise linear transformation, a nonlinear transformation index, the number of non-linear transform image enhancement which increases the noise,YUoocRN method, sharpening, pseudo-color enhancement image segmentation inside the gray threshold, debugging can run. )