omp

order your file with their different name, especially for pictures, in matlab

sar图像处理,合成孔径雷达成像及处理，有matlab程序(sar image processing, synthetic aperture radar imaging and processing, there are matlab program)

说明：  信道为高斯信道的OFDM信道估计仿真。基于matlab(Channel is Gaussian channel OFDM channel estimation simulation. Based on matlab)

ACO for tsp. this file will be helpful in executing the code in Matlab in order to find TSP answer using ACO

Matlab code for LPC analysis

梯度下降法工具箱，包括了L_BFGS等。MATLAB版(gradient descent toolbox, including L_BFGS, MATLAB edition)

BPSK调制解调，采用升余弦波形成形，误码性能分析(BPSK modulation and demodulation, the use of raised cosine waveform shaping, error performance analysis)

说明：  MUSIC算法 DOA（Direction Of Arrival）波达方向定位技术主要有ARMA谱分析、最大似然法、熵谱分析法和特征分解法，特征分解法主要有MUSIC算法、ESPRIT算法WSF算法等。 MUSIC (Multiple Signal Classification)算法，即多信号分类算法，由Schmidt等人于1979年提出。MUSIC算法是一种基于子空间分解的算法，它利用信号子空间和噪声子空间的正交性，构建空间谱函数，通过谱峰搜索，估计信号的参数。对于声源定位来说，需要估计信号的DOA。MUSIC算法对DOA的估计有很高的分辨率，且对麦克风阵列的形状没有特殊要求，因此应用十分广泛。(DOA (direction of arrival) positioning technology mainly includes spectrum analysis, maximum likelihood method, entropy spectrum analysis method and feature decomposition method. The feature decomposition method mainly includes music algorithm, ESPRIT algorithm, algorithm, etc. Music (multiple signal classification) algorithm, namely multi signal classification algorithm, was proposed by Schmidt In 1979. MUSIC algorithm is an algorithm based on subspace decomposition. It uses the orthogonality of signal subspace and noise subspace to construct spatial spectrum function, and estimates signal parameters through spectrum peak search. For sound source localization, DOA of signal needs to be estimated. MUSIC algorithm has high resolution for DOA estimation, and has no special requirements for the shape of microphone array, so it is widely used.)

田纳西伊斯曼过程SIMULINK仿真模块 来自于经典文献(Tennessee Eastman process SIMULINK simulation module from the classic literature)

图像处理 灰度化，图像增强，边缘检测，几何特征检测(Image processing gray, image enhancement, edge detection, geometric feature detection)