98

基于粒子群模糊聚类算法，相比传统聚类算法，效果好很多(Fuzzy clustering based on particle swarm algorithm, compared with the traditional clustering algorithm, the effect is much better)

书号的识别程序，带有相应的图解。可以作为识别的参考程序。(ISBN identification procedures, with the corresponding illustrations. Identification procedure can be used as a reference.)

协方差驱动的模态参数识别的SSI算法,基于斜拉桥的环境激励算法(Covariance-driven modal parameter identification of the SSI algorithm, based on the environmental incentive stayed algorithm)

重构Lorenz 时间序列的相空间图，并作分析(Lorenz time series reconstructed phase space, and for analysis)

Pass the specification values to the object rather than accepting the default values for N, Fc1, and Fc2. Include the sampling frequency Fs as the final input argument. Design the filter and plot the results.

equations ode 45 for airplane

二维离散小波变换(Mallat快速算法)对图像进行二维离散小波变换, 变换级数大于等于3级,然后进行阈值化处理(阈值约为10左右),再统计系数中0的个数（百分比表示）并进行重构, 最后计算重构图像的峰值信噪比(PSNR). 数据：灰度图像lena.bmp或其它图像, 滤波器系数可以调用matlab中的wfilters函数获得, wfilters函数的使用请在matlab中help wfilters.(Two-dimensional discrete wavelet transform (Mallat fast algorithm) two-dimensional discrete wavelet transform image transformed series is greater than or equal to 3, and then processing thresholding (threshold of about 10 or so), the number of re statistical coefficient 0 ( reconstruct the final calculation of the peak signal-to-noise ratio (PSNR) of the reconstructed image data: the grayscale image lena.bmp or other images, the filter coefficients can call matlab in wfilters function to obtain, wfilters function, expressed as a percentage) in matlab help wfilters.)

大电网潮流计算的牛顿拉夫逊算法，MATLAB程序 (Large grid flow calculation Newton Raphson algorithm, MATLAB program)

LDPC code construction

LMS算法是一种很有用且很简单的估计梯度的方法。这种算法60年代初得出以后很快得到应用，它的突出优点是计算量小易于实现，且不要求脱线计算。只要自适应线性组合器每交迭代运算时都知道输入信号台和参考响应，那么，选用LMS算法是很合适的。(LMS algorithm is a very useful and very simple estimate of the gradient method. The algorithm reached 60 soon after the early applied, it is to calculate the amount of the outstanding advantages of a small easy to implement, and does not require off-line calculation. As long as the adaptive linear combiner time per each iteration all know that Taiwan and the reference input signal response, then the selection of LMS algorithm is very appropriate.)