INS_OUT2

认知无线电 硬判决 EGC 不同虚警概率(Cognitive radio hard decision EGC different probability of false alarm)

说明：  该资料用于学习matlab界面编程，对于初学者可以达到事半功倍的效果，能快速入门(The information is used to learn the matlab interface programming for beginners can achieve a multiplier effect, to Quick Start)

matlab中学习fir、iir滤波器的程序实例，很好的讲解了fir、iir滤波器的应用(matlab learn fir, iir filter process instances, well explained fir, iir filter applications)

An example want to present to memmber for nonlinear

It is the Simulated Annealing method coded by matlab and has a good results.

置信传播算法用于无环图时的误码率的检验。(this program is a detection of the error bit when the BP algorithm used in the cycle free graph.)

SPN的差分密码分析，建议选取的明密文对数量为8000+，太小可能结果有偏差(SPN Differential cryptanalysis, ciphertext clear recommendations for selected number of 8000+, too small deviations may result)

波数域算法又称为距离徙动算法（Range Migration Algorithm，RMA）或-算法，由Cafforio等提出。该算法分析距离处理后信号的二维频谱，通过二维频域匹配滤波进行相位补偿，在完成方位聚焦的同时完全校正距离徙动。由于其中的Stolt变换能克服SAR信号中距离徙动和SRC对斜距的依赖，因此波数域算法是一种理想的成像算法，尤其在处理大斜视角和长合成孔径的SAR数据时。但Stolt变换需要插值，降低了处理效率并引入额外的误差。(The wavenumber domain Algorithm is also called Range Migration Algorithm (RMA) or -algorithm, which is proposed by Cafforio et al.The algorithm analyzes the 2-d spectrum of the signal after the distance processing, carries out phase compensation through the 2-d frequency domain matching filter, and completely corrects the distance migration while completing the azimuth focusing.Because the Stolt transform can overcome the SAR signal range cell migration and SRC dependence on oblique distance, thus wavenumber domain algorithm is an ideal imaging algorithm, especially when dealing with large squint Angle and long synthetic aperture of SAR data.But Stolt transformation requires interpolation, reduces processing efficiency and introduces additional errors.)

signal to dq frame for single phasepwm rectifier which work in open loop for traction systems.matlab simulink modal is aasigned with it.

稀疏低秩的动态MRI成像代码，基于CPU的matlab代码版本，有代码加速优化处理(k-t SLR: Accelerated dynamic MRI using low rank and sparse penalties （CPU version: MATLAB codes）)