TDM_model_OK

对通信原理中的迫零均衡进行基于MATLAB的仿真(On communication theory in zero forcing equalization MATLAB-based simulation)

课程设计中实现matlab的最优化设计，程序代码包括各种算法，如最速下降法 共轭梯度法，牛顿法，修正牛顿法，拟牛顿法，信赖域法，显式最速下降法， MDOMxw梯度投影法，修正G－N法，基本粒子群算法，带压缩因子的粒子群算法，权重改进的粒子群算法，ZMGGiit二阶粒子群算法等等。 (Curriculum design to achieve matlab optimization design, program code includes a variety of algorithms, such as the steepest descent method conjugate gradient method, Newton s method, modified Newton method, quasi-Newton method, trust region method, explicitly steepest descent method, MDOMxw gradient projection law, amendment G-N method, particle swarm algorithm, particle swarm algorithm with compression factors, weights improved particle swarm optimization, ZMGGiit second-order particle swarm optimization and so on. )

一个不错的关于SVM的例程，大家可以下载下来做一个参考，个人认为很不错的(A good SVM program,I think it is a good reference.)

先对三幅图像进行混合，然后采用FASTICA算法混合图像进行盲分离(First three images mixed, then FASTICA algorithm mixed image blind separation)

说明：  卡尔曼滤波simulink模型，输入输出接口已经给出，给定观测向量和控制向量可以对状态向量进行估计(Kalman filter simulink model, input-output interface has been given, given the observation vector and control vector can be estimated state vector)

this file contains psk and qpsk modulation and de modulation part

读取和写入segy地震文件，用matlab可以运行(Read and write files segy earthquake)

matlab处理地震资料的有关比较简单的成程序，segy文件的读取程序及输出segy格式的程序，另外还有雷克子波的程序等(matlab processing seismic data into a relatively simple procedure, segy file read program output segy formats procedures, in addition Leike Zi wave program)

when SNR is high , 1st sample estimator provides good estimate of A. it has no noise effect . so we don’t need averaging effect to reduce noise when SNR is high. However variance is still low in sample mean estimator which shows that in reality ,sample mean is good estimator than 1st sample estimator. So, for high SNR, we do not need to reduce the effect of noise by averaging. or we can say that for high SNR let say >1000 , 1st sample estimator got reduced noise. But as for as variance is concerned , the sample mean has low variance for high SNR as well.

Included are the files wav1.m, wav2.m, wavecoef.mat and readme. wav2 function implements the tree structured wavelet transform of the input matrix, up to the given level of decomposition. Wav2 uses another function called wav1, which takes the well known wavelet transform of the given matrix. Daubechies wavelet coefficients are used for wavelet transform operation wahich is saved in wavcoeff.mat. (Included are the files wav1.m, wav2.m. wavecoef.mat and readme. wav2 function biennium max the tree structured wavelet transform of t he input matrix. given up to the level of decomposition. Wav2 use s wav1 another function called, which takes the well known wavelet transform of the given matrix. Daubechies wavelet coeffici separations are used for wavelet transform operation w ahich is saved in wavcoeff.mat.)