MATLAB-music-method

空时编码的matlab仿真程序，其中包括almouti，空时分组码仿真，空时格行码的设计仿真，不同信噪比下的比较，码长天线数的比较(the simulations of space-time coding are include in this rar file, adhered with the almouti scheme, space-time block cade sheme and space-time trill code sheme. )

reti based on color

图像重采样程序，可以实现图像任意大小的尺寸调整，采用分片重采样方法(Image resampling process, image of any size can be adjusted, subdivision resampling methods )

kalman filter在参数估计中的应用(Kalman filter to estimate the parameters of)

利用matlab编程实现RBF神经网络，利用训练模型算法，最后得到较精确的神经网络模型，里面的程序并不需要先前自己进行数据归一化处理(radial basis function)

this gives the basic idea on the placement of capacitor in distribution system.the allocation of capacitor reduces the power losses in the system.

这个模型模拟配置的GSM运营定点数字下变频器（DDC），利用Simulink，DSP模块，以及定点模块组。该模型模拟了TI/ GrayChip GC4016四路数字下变频芯片一种操作方式(This model simulates a fixed-point Digital Down Converter (DDC) configured for GSM operation, using Simulink, DSP Blockset, and the Fixed Point Blockset. The model emulates one mode of operation of the TI/GrayChip GC4016 Quad Digital Down Converter chip)

EMD分解，用于处理数据，是自适应分解为若干个IMF分量，按照频率有小到大的顺序！(EMD decomposition is used to process the data, adaptive decomposed into several IMF components, in accordance with the frequency of small to large order!)

8 band kp method calculate the valence band structure, using finite difference method

计算赫斯特指数Calculates the generalized Hurst exponent H(q) of a stochastic variable x(t) (a time series) the scaling of the renormalized q-moments of the distribution <|x(t+r)-x(t)|^q>/<x(t)^q> ~ r^[qH(q)] The value of H(q) give indication about the fractal nature of the signal. H(q) = 0.5 corresponds to a Brownian motion, deviations form 0.5 and dependency on q are indications of multi-fractality and time-correlations.(Calculates the generalized Hurst exponent H(q) of a stochastic variable x(t) (a time series) the scaling of the renormalized q-moments of the distribution <|x(t+r)-x(t)|^q>/<x(t)^q> ~ r^[qH(q)] The value of H(q) give indication about the fractal nature of the signal. H(q) = 0.5 corresponds to a Brownian motion, deviations form 0.5 and dependency on q are indications of multi-fractality and time-correlations.)