selrpt_frsz

Pattern classification claasificiation of sample with matlab code

create a Christmas tree with string * , caling the function tree(x), x is a prime number!

使用Matlab对图片进行操作时，大量的单张图片不利于操作，此时需要将图片转化为.mat格式，.mat方便我们对数据的处理，使我们更加高效的利用数据。文章中的代码是以PIE数据集作为转换的原始数据，每张图片的名称是连续的数字，相同类别的图片张数相等且名称连续。(When using MATLAB to operate pictures, a large number of single pictures are not conducive to operation. At this time, we need to convert pictures into. mat format. mat is convenient for us to process data, so that we can use data more efficiently. The code in this article is PIE data set as the original data for conversion. The name of each picture is a continuous number. The number of pictures of the same category is equal and the name is continuous.)

Implements the fast fixed-point algorithm for independent component analysis and projection pursuit.

Script file for computer exercise "BPSK".(Script file for computer exercise "BPSK.")

凸优化理论工具包，目前广泛应用于波束形成算法、感知无线电等各方面(widely used in beamforming)

粒子群优化算法 一种经典的启发式算法(Particle swarm optimization algorithm, a classic heuristic algorithm)

OFDM技术做为4G的关键传输技术，得到了广泛重视。本matlab文件为适合于OFDM系统的动态子载波分配算法。目的是提高频谱使用效率。(dynamic sub-carrier allocation(matlab))

展示了线性、DFE、MLSE均衡器的信噪比性能，并通过蒙特卡罗模拟信道估计结果确定。(This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks. )

用粒子群算法解决0/1背包问题，解决在背包体积有限的情况下，如何最大化的实现有效资源分配(Solve knapsack problem with particle swarm algorithm to solve the limited volume of the backpack, how to maximize the efficient allocation of resources to achieve)