MATLABbiancheng

matlab codes for basic algorithms for MRI

动态规划算法的设计与实现本科毕业论文，已经通过的(Dynamic programming algorithm design and implementation of undergraduate thesis, already adopted by the)

采用 Welch法在matlab中进行功率谱密度计算(Welch method using power spectral density calculation in matlab)

1、 降噪步骤： （1） 一维信号的小波分解。选择一个小波并确定分解的层次，然后进行分解运算。 （2） 小波分解高频系数的阈值量化。对各个分解尺度下得高频系数选择阈值进行软阈值量化处理。 （3） 一维小波重构。根据小波分解的最底层低频系数和各高频系数进行一维小波重构。 matlab里面有关于去噪的函数，你可以找一下~~ 这说的只是基本原理，希望有所帮助(1, noise reduction steps: (1) one-dimensional signal wavelet decomposition. Select a wavelet decomposition level and determining, and then divide the operation. (2) high coefficient wavelet thresholding. For each decomposition scales have high coefficient selection threshold soft threshold quantization. (3) one-dimensional wavelet reconstruction. According to the lowest level of the low frequency wavelet coefficients and high frequency coefficients of each one-dimensional wavelet reconstruction. There are about denoising matlab function, you can find some ~ ~ This says just the basic principle, we hope to help)

OFDM信道估计中LS和MMSE估计算法的matlab源程序(Channel estimation source code)

1.边缘检测，分别用Sobel, Laplacian-Gaussian 方法对一幅灰度图像进行边缘提 取，并给出对比结果； 2.灰度阈值分割：利用双峰法对一幅灰度图像进行灰度分割处理。(1. Edge detection, respectively Sobel, Laplacian-Gaussian methods on a gray-scale image edge extraction, and gives comparative results 2. Gray threshold segmentation: Using Twin Peaks method a gray image gray-scale be dealt with separately.)

在matlab r2010a环境下编写的newton-lagrange算法，可以求解约束优化问题，程序返回目标函数值及拉格朗日乘子。(In matlab r2010a environment prepared newton-lagrange algorithms can solve constrained optimization problems, the program returns the value of the objective function and Lagrange multipliers.)

多个目标提取，原始帧和背景帧相减，提取目标(Multiple target detection, the original frame and background frame subtraction, extraction of target)

通过运用13折线法实现信号的压缩，使压缩更为的简单(13 fold line achieved through the use of signal compression, so compression is more simple)

此程序为地震数据处理中的反褶积，用于提高纵向分辨率。此程序构建在简单褶积模型上，分为脉冲和预测反褶积两种，参数可自调。(This procedure for seismic data processing deconvolution, used to improve the vertical resolution. This program is built on a simple convolution model is divided into pulses and predictive deconvolution two parameters can be self-adjusting.)