PVarray_Grid

CFAR的matlab实现，效果十分好，不信请试试(CFAR' s matlab achieve)

遗传算法（Genetic Algorithm）matlab工具箱，内含很多matlab例程，对于学习遗传算法很有帮助。(Genetic Algorithm (Genetic Algorithm) matlab toolbox, containing many matlab routines, useful for learning genetic algorithm.)

本文根据对原始纯净图像进行的椒盐加噪处理，提出了利用中值滤波法消除图像噪声的实用方法。使用软件工具MATLAB快速地实现了图像的中值滤波。(According to the original purity of the salt and pepper plus noise image processing, proposed by using median filter to reduce image noise and practical method. MATLAB software tools used to achieve fast median filtering of images.)

说明：  调用.csv文件格式或者Excel格式文件实现Matlab数学算法：图像或图形的再现、时域和频域的信号分析和处理(call. Csv file format or Excel format Matlab mathematical algorithms to achieve : images or graphics to recreate the time domain and frequency domain signal analysis and processing)

这是一基于MATLAB的复调制ZOOM-FFT的研究和实现的一篇文章，为的是提高频率分辨率。(This is a MATLAB-based complex modulation ZOOM- FFT Research and Implementation of an article, To improve the frequency resolution.)

QPSK在加性高斯白噪声环境下，信噪比和误码率的仿真。 先产生一个四组符号的序列，再将该序列映射到对应的相位上。用相应的函数产生均值为零、方差为δ2的加性高斯噪声。 (QPSK the additive white Gaussian noise environment, and the signal-to-noise ratio of the simulation. First group have a four symbols of sequence, then this sequence mapped to the corresponding phase on. With the corresponding function have zero mean and variance of 未2 additive white Gaussian noise.)

声波波动方程数值模拟。地震的一个小程序。适合初学者看看。大神就不用下了(Numerical simulation of the acoustic wave equation. Earthquake a small program. Suitable for beginners to see. God would not have got big)

关于遗传算法简单入门的一些小程序，有选择、交叉、变异的函数(On the simple introduction of genetic algorithm some small programs, there is a choice, cross, mutation function)

关于对embedded matlab function的使用的文档，详细说明embedded matlab function的用法(Document on the use of embedded matlab function, detailed description of the usage of the embedded matlab function)

《MATLAB神经网络30个案例分析》中的第8个例子，案例8 GRNN的数据预测-基于广义回归神经网络货运量预测。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of example, 8 cases of 8 GRNN data to predict- freight volume prediction based on generalized regression neural network. Hope to have certain help to everybody! )