TwIST_v2

A practical method for calculating largest Lyapunov

找到的一个B&B 源码，感觉很好用。共享一下(MATLAB code for the branch and cut algorithm)

an class is created having different properties of material

WIMAX_WZ_withencoding:信道估计，相位噪声补偿，频偏估计，编解码都有 WIMAX_WZ_withoutencoding：在上面的工程基础上，去掉编解码部分 WIMAX_WZ_withoutprocessing：在上面的工程基础上，再去掉相位噪声补偿，频偏估计 WIMAX_WZ_withoutprocessing2：在上面的工程基础上，改用新的前导和导频联合信道估计方案,参考文档《基于802_16d标准的OFDM信道估计技术的研究与实现.kdh》 因为白噪声信道仿真只能体现QPSK调制和RS-CC编码的性能，需要仿真SNR可控的SUI信道，来估计信道均衡的性能。 在多普勒频偏fd>100Hz时，联合信道估计性能才比前导估计强，否则前导估计性能更优。对于600MHz中心频率，要求收发机相对运动速度大于180km/h，这种情况出现的概率不大(WIMAX_WZ_withencoding: channel estimation, phase noise compensation, frequency estimation, the codec has WIMAX_WZ_withoutencoding: the project on the basis of the above, remove the codec section WIMAX_WZ_withoutprocessing: the project on the basis of the above, then remove the phase noise compensation, offset estimation WIMAX_WZ_withoutprocessing2: In the project on the basis of the above, use the new leader and pilot joint channel estimation scheme, the document " Standards-based 802_16d OFDM channel estimation and implementation of technology .kdh" because white noise channel simulation only reflects the QPSK modulation and RS-CC coding performance requires simulation SNR controllable SUI channel, to estimate the performance of channel equalization. When Doppler shift fd> 100Hz, joint channel estimation performance was stronger than the leading estimate, otherwise better estimation performance leader. For 600MHz center frequency transceiver requirements relative velocity )

用于电磁场和波的模拟仿真与显示，动画效果(For the electromagnetic field and wave simulation with shows, animation)

对数极坐标变换MATLAB程序,可以用于对图像做对数极坐标变换，常用于模式识别领域，用于识别旋转的图像(This program can be used to lo-poloar transform the image)

设计2.4GHz的短距离无线传输天线的资料(The data for designing 2.4GHz SRD wirless antenna)

偏最小二乘源代码，非常好用，很详细，有具体的求解过程(the process of calculate)

Hybrid Automatic-Repeat-reQuest Systems for Cooperative Wireless Communications

傅里叶变换功能的实现，虽然是非常见得的频率成分，但是还是实现了基本的傅里叶变换功能，并不是matlab自带的fft函数。实现了频谱分析可视化。(Fourier transform function, although it is very frequency components appear, but still achieve the basic function of the Fourier transform, comes not matlab fft function. Achieve a spectral analysis visualization.)