bpsk_zf_mmse_equalization

说明：  曲线拟合 matlab 毕业设计常用 (use matlab curve fitting )

Matlab project which is in parts. so please collect all 10 parts. then extract it and enjoy.

假定运行区域内的发电机的开路特性的V型曲线；(Assuming the operation area of generator breaker characteristics of v-shaped curve,)

SPEAKER RECOGNITION MELBANK

PML边界的三维FDTD的matlab程序(3D FDTD program with PML ABC)

this is a matlab code for economic load dispatch solution using spso method.

OFDM峰均比文章，里面包括各种算法的相关文章(OFDM PAPR article, which includes a variety of algorithms related articles)

应用启发式算法-粒子群算法PSO，解决物流配送中心选址问题，结果好的解决了上述问题，值得参考。(PSO Particle Swarm algorithm using heuristic algorithm to address the logistics distribution center location problems, resulting in a good solution for this problem, it is also useful.)

GM(1,1)模型1-4 1：GM(1,1)模拟模型，在matlab中的输入方法为gm1（x），x指要模拟的序列。 2：GM(1,1)预测模型，在matlab中的输入方法为gm2（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 3：GM(1,1)群模拟模型，在matlab中的输入方法为gm3（x），x指要模拟的序列。 4：GM(1,1)群预测模型，在matlab中的输入方法为gm4（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 gm4对序列趋势比较好的数据预测效果较好，对上下变动的数据，特别是后4个数据趋势跟前面的数据相反的，预测效果很差。 gm2对上下变动的数据，预测效果比gm4好，但对趋势较好的数据，预测精度没有gm4高。 gm3比gm1模拟精度要高。 可以以x=[1 3 5 7 9 11 13 15]进行实验。x输入默认行向量。 所有程序在matlab6.0上调试通过。(GM (1,1) 1-4 1 : GM (1,1) simulation model Matlab in the input method for gm1 (x), x entail simulation sequence. 2 : GM (1,1) model, in the Matlab input method for gm2 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. 3 : GM (1,1)- simulation model, in the Matlab input method for gm3 (x), x entail simulation sequence. 4 : GM (1,1)- forecasting model, in the Matlab input method for gm4 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. Gm4 right sequence relatively good trend data predicted better results, the next change in the data, especially after four data with the previous trend data contrary, predict poor. Gm2 next to the change in forecast resu)

估计类均值向量和协方差矩阵的方法。 类间离散度矩阵、类内离散度矩阵的计算方法 (Estimated class mean vector and covariance matrix method. Between-class scatter matrix, within-class dispersion matrix calculation method)