gmsk_final_s_ruido

对初学者非常有用的数学分析的最优化代码，很好用。(it is very useful.)

说明：  NMF及其后续的各种方法，还有ICA的比较方法，(NMFand the expand algorithms ,compare with ICA,)

利用matlab 仿真 ofdm 通信系统(ofdm by matlab)

已知被控对象的模型和期望传递函数分母多项式，用直接自校正控制方法对系统进行仿真(Known to the controlled object model and the desired transfer function denominator polynomial, with direct self-tuning control system simulation)

2D HOMOGRAPHY FOR IMAGE PROCESS

说明：  该程序给出了OFDM信号以及频谱分析，也插入了保护间隔(the procedure given OFDM signal and spectrum analysis, insert a protective partition)

两种s变换反变换形式及一个简单的test程序，已自行测试过(two kinds of inverse s transform)

It is Radar System design and signal prcessing code based on standard algorithm .this is vey important for biggener those who are working on Radar signal processing area.This code contain various chapter. this is basically chapter No5

这个Matlab程序实现了MAP算法-最大后验概率算法，同时包括对算法有：卷积编码、卷积解码，BPSK，AWGN。同时绘制它的误码率和SNR(信噪比)。 (The Matlab program achieved a MAP algorithm- maximum a posteriori probability algorithm, also include the algorithm are: convolutional coding, convolutional decoding, BPSK, AWGN. At the same time rendering its bit error rate and SNR (signal to noise ratio).)

It is demonstrated that neural networks can be used effectively for the identification and control of nonlinear dynamical systems. The emphasis is on models for both identification and control. Static and dynamic backpropagation methods for the adjustment of parameters are discussed. In the models that are introduced, multilayer and recurrent networks are interconnected in novel configurations, and hence there is a real need to study them in a unified fashion. Simulation results reveal that the identification and adaptive control schemes suggested are practically feasible. Basic concepts and definitions are introduced throughout, and theoretical questions that have to be addressed are also described