dct

implimentation de histogram sous matalb

matlab files to play with cells

基于空间飞行器的姿态仿真程序-MATLAB源代码，给出姿态仿真结果(Spacecraft based attitude simulation program - MATLAB source code, gives attitude simulation results)

基于数字滤波平方率的符号定时恢复算法。输入参数：RtfSig过采样的待恢复信号，信号中的N符号总数，dS升采样率，N_T升余弦滚降滤波器系数(A timing recovery algorithm based on the sign of the digital filtering of the square. Input parameters: RtfSig be over-sampled signal recovery, the total number of N-symbol signal, the sampling rate dS l, N_T raised cosine filter coefficients)

多用户检测程序，具有很高的研究价值，非常不错(Multi-user detection procedure and has high value, is very good)

Newton-Raphson迭代法是很重要而且比较实用的方法及不动点迭代(Newton-Raphson iteration is a very important and practical method and fixed point iteration)

说明：  基于导频的ofdm信道估计，采用线性MMSE算法。(Pilot-based channel estimation ofdm using the linear MMSE algorithm.)

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

说明：  本程序能够实现对数字分向码产生的功能，使用方法请参照程序注释。(procedures to achieve the right digital code points to the functions, please refer to the use of procedural methods Notes.)

快速ICA，独立成分分析。是matlab格式的源代码。(Fast ICA, independent component analysis. Is matlab source code format.)