yiqun

gmdh神经网络的详细程序，demo是主程序源码。(gmdh detailed procedures for neural networks, demo is the main source.)

matlab例程,如何作图,如何生成eps文件(matlab example, used to generate figure and eps file)

OFDM- equalization for fading channels

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 )

Logistic 混沌映射的时域图吸引子，初值敏感性程序代码(Logistic mapping time-domain diagram attractor, sensitivity to initial code)

source code for different distribution models

在高斯背景下，测试在随机信号情况下的大特征值个数问题，并仿真了杂波功率谱(Gaussian background, test the number of large eigenvalues ​ ​ in the case of random signals, and simulate the noise power spectrum)

Ackley测试函数，经过实验的确可以用，哈哈，分享给大家(Ackley test function, indeed can be used through the experiment, ha ha, for everyone to share)

数学建模中有关搜索与优化的可能用到的一些例子(Search and optimization mathematical modeling may be used in some examples)

粒子群算法实现寻优，利用一具体案例得出寻优结果(Particle swarm optimization algorithm, the use of a specific case of optimization results obtained)