ISAR成像RD算法

车牌识别，很有用的啊。包括提取车牌和神经网络训练(License Plate Recognition, ah useful. Including the extraction plate and neural network training)

The travelling salesman problem (TSP) or travelling salesperson problem asks the following question: Given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city exactly once and returns to the origin city? It is an NP-hard problem in combinatorial optimization, important in operations research and theoretical computer science.

无线通讯系统的matlab仿真程序；主要包括同步，均衡，信道估计，调制解调(Wireless communications systems matlab simulation program mainly include synchronization, balance, channel estimation, modulation and demodulation)

Estimation of fractal dimension by divider method

matlab程序，用于求时间序列的hurst指数，判断数据的长程关联性。 (the matlab procee for calculating the Hurst Exponent for a time series data--Hurst Exponent)

在matlab中模拟图像受高斯白噪声和椒盐噪声的影响。(Analog Gaussian white noise and salt and pepper noise image is in matlab.)

The FastICA package is a free (GPL) MATLAB program that implements the fast fixed-point algorithm for independent component analysis and projection pursuit. It features an easy-to-use graphical user interface, and a computationally powerful algorithm. (The FastICA package is a free (GPL) MATLAB program that implements the fast fixed-point algorithm for independent component analysis and projection pursuit. It features an easy-to-use graphical user interface, and a computationally powerful algorithm.)

EM 算法是求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据，可以具体来说，我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。(Expectation Maximization image segmentation Input: ima: grey color image k: Number of classes Output: mask: clasification image mask mu: vector of class means v: vector of class variances p: vector of class proportions )

分析了维纳滤波器均方误差及滤波性能与阶数和噪声方差之间的关系(Analysis of the Wiener filter and the filter mean square error performance and the order and the relationship between noise variance)

This lab exercise will cover the use of AccelDSP’s design exploration capabilities that include mapping variables to memory and unrolling loop and vector operations. You will learn how to create different hardware architectures without modifying the MATLAB source to explore different area/performance tradeoffs.(This lab exercise will cover the use of Acce lDSP's design exploration capabilities that i nclude mapping variables to memory and unrolli Vi loop and vector operations. You will learn ho w to create different hardware architectures w ithout modifying the MATLAB source to explore d ifferent area/performance tradeoffs.)