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cognitive radio model as in an efficient Discovery of Spectrum Opportunities with MAC-Layer Sensing in Cognitive Radio Networks

说明：  MATLAB小波变换降噪，内附完整代码。有需要的可以下载看看。(Matlab wavelet transform denoising)

adaboost的matlab实现，可进行车辆识别的训练(AdaBoost' s matlab implementation, it can conduct vehicle identification training)

计算尺寸因子对消光效率和散射效率，吸收效率，后向散射效率等的影响 (Size factors calculating the efficiency of extinction and scattering efficiency, absorption efficiency, backscattering efficiency of)

本代码根据noiselets算法编写，可以生成NXN的任意矩阵(To write the code according to the noiselets algorithm, you can generate an arbitrary matrix of NXN)

风光互补的最大功率跟踪MPPT的simulink仿真(Scenery of the most power tracing MPPT complementary of simulink)

研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度 函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不 仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知 质量。 (Recent research indicates that the speech spectral amplitude distributions could be fairly described with super-Gaussian probability density function. However, the complexity of speech signal determines that the distribution statistics ofspeech signal could not be well described by single simple function. Thus a super-Gaussian mixture model for speech spectral amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech signals spectral amplitude is derived. The simulation results show that this algorithm based on Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )

运输成本、货损成本、时间成本等的配送成本最小化和以模糊时间窗进行量化的客户满意度最大化的多目标优化模型，采用改进遗传算法求解带模糊时间窗冷链配送问题。(A multi-objective optimization model to minimize the cost of transport and distribution costs, damage costs, costs of time and to quantify fuzzy time window to maximize customer satisfaction, using the improved genetic algorithm with fuzzy time window cold chain distribution.)

光伏MPPT最大功率跟踪仿真模型，很有参考价值的算法(Photovoltaic maximum power tracking of MPPT simulation model, the algorithm of great reference value)

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