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64 QAM mod and demod

解决最小费用最大流问题，一般有两条途径。一条途径是先用最大流算法算出最大流，然后根据边费用，检查是否有可能在流量平衡的前提下通过调整边流量，使总费用得以减少？只要有这个可能，就进行这样的调整。调整后，得到一个新的最大流。(Minimum cost maximum flow problem to solve, there are generally two ways. One way is to use a maximum flow algorithm to calculate the maximum flow, then the cost side, check whether it is possible under the premise of the flow balance by adjusting the edge flow, so that the total cost can be reduced? As long as this possible, for such adjustments. Adjusted to obtain a new maximum flow.)

In computer science and information theory, data compression, source coding,[1] or bit-rate reduction involves encoding information using fewer bits than the original representation. Compression can be either be lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by identifying marginally important information and removing it. The process of reducing the size of a data file is popularly referred to as data compression, although its formal name is source coding (coding done at the source of the data, before it is stored or transmitted).

mo phogn trong matlab

在立体空间中绘制八面体的Matlab源程序，并对该八面体进行分类(Draw octahedral Matlab source in three-dimensional space and classify the octahedral)

m-sequencs generation and cross corelation between them

matlab hinf算法，用于计算hinf范数判定稳定性(the matlab hinf algorithm)

getting started with storm

超分辨率重建的一些相关应用程序，包括POCS、IBP、运动估计等(super-resolution)

模拟退火算法用于求解旅行商问题的matlab源程序(simulated annealing algorithm for solving the traveling salesman problem Matlab source)