ch5

说明：  平均周期图法和平滑平均周期图法估计功率谱 从经典功率谱估计周期图法原理入手，从理论上分析了其存在的局限性，借助Welch算法对其进行修正。依靠Matlab强大的数值分析和信号处理能力进行实验!! 用周期图法和welch法分别估计了一下信号的功率谱密度。采样频率200Hz，时间序列长度2048，FFT数据点数2048。其中welch法使用hanning窗，窗口长度600．(Average periodogram and periodogram smoothing method to estimate the average power spectrum from the classical power spectrum estimation periodogram principle starting from the theoretical analysis of the limitations of its existence, with the Welch algorithm, amending them. Rely on the powerful Matlab numerical analysis and signal processing capabilities to experiment!! With periodogram and welch method were estimated signal power spectral density about. Sampling frequency of 200Hz, the time sequence length 2048, FFT data points 2048. Welch method which uses hanning window, the window length of 600.)

粒子群算法 代码全 PSO PID优化 优化效果好(PID PSO)

遥感图像傅立叶滤波，MATLAB版本,图像处理(Remote sensing image processing high-pass filter, low pass filtering, image processing)

经典的SIFT算法，实现高效高精度的图像匹配 matlab编写，内涵详尽注释，以及用法说明的txt文件，另加试验文件(Classic SIFT algorithm to achieve high efficiency and precision of image matching matlab prepared connotation detailed notes, as well as usage instructions txt file, plus a test file)

kpib.m contains code for GPIB and serial port communication for a number of scientific instruments, organized so that a single common command syntax can operate them all. For example, the command: r = kpib(INSTRUMENT,GPIB, read ) will return the voltage and current reading from a number of different power supplies. The goal is to be able to write matlab code that can accommodate changing instruments and experimental setups with minimum hassle. If INSTRUMENT and GPIB are defined as constants at the beginning of your code, then they can be changed to accommodate new equipment, and the rest of the code is unchanged. In addition, kpib can test whether an instrument exists at an address and read and write arbitrary strings to instruments for testing.

fusion of panchromatic and multispecral image using differet types of image fusion techniques

lms算法 滤波器 解释及仿真 ，基于LMS算法自适应滤波器析(lms filter interpretation and simulation algorithm, based on the analysis of LMS adaptive filter algorithm)

this source code is gm2lc matlab

matlab神经网路工具箱详细教程，通过matlab实现多种网络(Matlab neural network toolbox detailed tutorial)

提供了adaboost Algoritm的工具箱，该算法是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器(强分类器)。 (Adaboost is an iterative algorithm, the core idea is the same training set for training the different classifiers (weak classifier), then these weak classifiers together to form a stronger final classifier (strong classification) .)