idfig02

基于兴趣点颜色及纹理特征的图像检索算法，通过同类比较，平均检索准确率提高11个百分点。(Based on the interest points and texture features of color image retrieval algorithm, through a similar comparison, the average retrieval accuracy rate of 11 percent improve.)

小波分析在语音特征参数提取方面的应用,很实用，经测试！(Wavelet analysis in terms of the voice feature extraction!)

k均值聚类，有聚类数目，聚类中心，实现有效聚类。(k-means clustering, there is the number of clusters, cluster centers achieve effective clustering.)

最小化L1范数求解，通过L1-LS工具包。(L1 norm minimization solution, through the L1-LS kit.)

杂波模型为重尾噪声，滤波器为kalman-levy滤波器，此滤波器在噪声不是高斯噪声时效果优于卡尔曼滤波器(Clutter model for heavy-tailed noise filter for the the the kalman-levy filter, this filter is better than the Kalman filter noise is not Gaussian noise)

new method for noisy enviroment fuzzy adaptation

模拟了高斯白噪声通过IS-95基带脉冲成形FIR滤波器的过程。绘制了FIR滤波器的频响曲线，噪声输入前与输出后的波形与功率谱(Simulated Gaussian white noise through the IS-95 baseband pulse shaping FIR filter. Drawn FIR filter frequency response curve, noise input and output waveform and power spectrum)

标准压缩感知（CS）理论决定了可靠的信号恢复是可能给M= O（KLOG（N / K））的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。(The standard compressive sensing (CS) theory dictates that robust signal recovery is  possible from  M=O(Klog(N/K))  measurements. We demonstrate that it is possible to substantially  decrease  Mwithout sacrificing robustness by leveraging more  realistic signal models that go beyond simple sparsity and  compressibility by including dependencies between values and  locations of the signal coefficients.   )

优化遗传算法系列中的第一种优化遗传算法，只需要该参数即可。(Genetic Algorithm Optimization of the first in a series of genetic algorithm to optimize only the parameters need to be.)

说明：  2013数学建模研究生B题建立多项式模型代码(2013 graduate of mathematical modeling to establish polynomial model code B title)