genetic-algorithm-based-on-matlab

matlab的很多原码。非常的详细。其中的一些本人用过，感觉很实用。(Many of the original code matlab.)

这是一个用matlab编写LTE基带处理的程序，可以对基带处理进行很好的学习，也可以用来学习MATLAB。(This is a preparation of LTE baseband processor with a matlab program that can be good learning for the baseband processor can also be used to learn MATLAB.)

matlab ＡＳＫ　实现　１６进制的调制与解调(matlab ASK 实现　　　１６进制的调制与解调)

turbo 均衡的经典文献matlab实现，经过几次迭代得到信噪比与误码率之间的曲线(turbo balanced classic literature Matlab realized, After several iterative be SNR and bit error rate between the curve)

可以实现机械EMD经验模态分解，提取特征量并利用神经网络进行模式识别故障类型(The empirical mode decomposition of mechanical EMD can be realized, feature quantity is extracted and neural network is used to identify the type of fault.)

newmark_ode函数,求解地震波作用下的框架结构，还是挺好用的(newmark_ode Newmark_ode function is useful for solving frame structures under seismic waves.)

stego program using the process of dct...... in matlab

C语言与MATLAB接口+编程与实例+李传军+编著，实现MATLAB中的C程序(C language and MATLAB interface+ programming instance+ Appellation+ compiled C program in MATLAB)

Finally, probability analysis, based on the chosen database, is performed and judgment whether the person is recognized is pronounced. Two different modeling techniques can be suggested for purposes of person identification or verification. The approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of Gaussian distribution is text-dependent one. For this technology a speaker is described by a set of HMMs, constructing the set of speech groups spoken by that person. The speech groups may be phonemes or words [7]. The text-independent technology is rested upon Gaussian Mixture Speaker Models. For this technology each speaker is defined by only one model describing all utterances of that person. Identification in the range of both approaches is executed by evaluation of maximum a posteriori probability [7].

深度信念网络（DBN）的相关程序，是新手入门相当好的参照(Deep belief network (DBN) of the relevant procedures, is a very good reference for beginners)