ynchronousmotomatlabsimulink

conjugate gradient algorithm for multivariable functions

用MATLAB进行线性调频信号及脉冲压缩仿真(Using MATLAB for linear FM signals and pulse compression simulation)

增强lee滤波，可以直接用。用来观察lee滤波对图像的处理结果。是个函数，需要调用。(Enhance the lee filter, can be directly used. Lee filter used to observe the image processing results. Is a function, you need to call.)

INTRODUCCIÓ N AL USO DE MATLAB SCIENTIFIC WORK PLACE, MATHEMATICS Y SCILAB

离散小波分解下的图像增强，快速，可以与其他波分解的图像增强做对比(Discrete wavelet decomposition of image enhancement, fast, with other wave decomposition of image enhancement to do comparison)

扩展的kalman 滤波算法，使用matlab进行实现,由国外人士编写(Extended kalman filter algorithm, using matlab to achieve)

Practical Multi-Fading Two-Stage Fault-Tolerant Federated Filter for Multi-Sensor Information Fusion

This toolbox contains functions related to image processing, including * images loading and generation. * filtering and blurring functions. * anisotropic and spacially variant filters. * non-linear filtering (median, LIC, bilateral). * High Dynamic Range image loading and equalization. * total variation image processing (denoising and decomposition). * non-wavelets image transforms such as local DCT

说明：  This mfile change the place of a picture that included of 4 pictures that they are in it.

This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal’s programs collection, which can be found in [1]. While Neal’s collection is well documented, in my opinion, C source codes are still overwhelming, especially if you are not knowledgeable in C language. My software is written for MATLAB, which is more readable than C. You may also want to refer to another MATLAB based LDPC source codes in [2], which has different flavor of code-writing style (in fact Arun has error in his log-likelihood decoder). (This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal s programs collection, which can be found in [1]. While Neal s collection is well documented, in my opinion, C source codes are still overwhelming, especially if you are not knowledgeable in C language. My software is written for MATLAB, which is more readable than C. You may also want to refer to another MATLAB based LDPC source codes in [2], which has different flavor of code-writing style (in fact Arun has error in his log-likelihood decoder).)