unit_converters_v1.13

实现了灰色理论在关联度识别方法在matlab中的应用(Grey achieved recognition in the correlation of in matlab)

matlab code 3 dim using fimite differance time domain method

注水算法是根据某种准则，并根据信道状况对发送功率进行自适应分配，通常是信道状况好的时刻，多分配功率，信道差的时候，少分配功率，从而最大化传输速率。本文运用matlab通过对注水算法在mino系统中的三种不同的情况下进行了仿真，比较出在小信噪比时，相同信噪比下利用CSI的功率注水算法获得容量优于未知CSI的平均功率分配算法；相同容量下已知CSI信噪比比未知CSI时的信噪比小3dB.当信噪比增大到一定程度时，功率注水算法所获得的信道容量将收敛到平均功率分配的信道容量。(Water flooding algorithm is based on certain standards, and according to the channel condition to adaptive allocation of sending power, usually is a good moment, channel situation more distribution power, channel is poor, less power distribution, so as to maximize the transmission rate. This paper USES matlab based on water flooding algorithm in Austin system of three different cases are simulated and compared in small SNR, under the same SNR use CSI power allocation algorithm for capacity is superior to the average power allocation algorithm of unknown CSI Same capacity known CSI signal-to-noise ratio than the unknown CSI small signal-to-noise ratio of 3 db. When the signal-to-noise ratio increases to a certain degree, the power allocation algorithm for channel capacity will converge to the average power distribution channel capacity. )

里面有论文，matlab的GUI源码，并结合了simulink的变成和连接。()

matlab写的图像处理论文，用的是radon变换，对边缘很好(matlab image processing to write papers, using a radon transform, on the edge of good)

通信中的8psk&tcm的体制研究，matlab源程序代码，采用viterbi译码方式，同时适用于软判决和硬判决两种方式(Communication 8psk & tcm institutional research, matlab source code, using viterbi decoding method applies to both soft-decision and hard decision in two ways)

无约束多维极值问题的描述，提供了几种解决方案(very good)

说明：  灰色系统理论是研究解决灰色系统分析、建模、 预测、决策和控制的理论.灰色预测是对灰色系统 所做的预测.目前常用的一些预测方法（如回归分 析等），需要较大的样本.若样本较小，常造成较 大误差，使预测目标失效.灰色预测模型所需建模 信息少，运算方便，建模精度高，在各种预测领 域都有着广泛的应用，是处理小样本预测问题的 有效工具(Grey system theory is the research and solution of grey system analysis, modeling, The theory of prediction, decision - making and control At present, some commonly used prediction methods (such as regression score) If the sample size is small, it often results in a comparison Large error, so that the prediction of the target failure Less information, convenient operation, high modeling accuracy, in a variety of prediction collar Fields are widely used to deal with small sample prediction problems Effective tool)

musc this program calculates arrival

非常好的学习KNN算法的，能全面掌握关于KNN算法的原理，实现等(Very good learning KNN algorithm, can fully grasp on the principle of KNN algorithm, implementation, etc )