kennard_stone

此书详细描述了turbo编解码的原理及硬件实现。硬件实现时考虑了平行译码等最新热点问题(This book describes in detail the principles of turbo coding and hardware implementation. Consider the parallel hardware decoding of the latest hot issues)

几个线性拟合的matlab程序,用到了对数，一次，二次，( several linefitng programs,matlab )

经验模式分解（EMD）处理程序 可直接用(Empirical Mode Decomposition (EMD) procedures can be directly used)

PCA - SIFT matlab source code

包括抽样函数， 余弦函数， 升余弦函数， 滚降升余弦函数的频谱(Including the sampling function, cosine function or cosine function, roll-off spectrum raised cosine function)

说明：  K最邻近分类器设计的MATLAB代码，有代码解释(K nearest neighbor classifier design in MATLAB code)

说明：  一个简单的matlab非线性拟合例子,使用了matlab提供的nlinfit函数.(A simple non-linear fitting matlab example, matlab using the function provided by nlinfit.)

droop control in matlab simulink

基带条件下QPSK误码率仿真，具有很大参考价值(Under the conditions of the baseband QPSK BER simulation, has great reference value)

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