bppid

简单的gui界面下的有关静定梁的受力分析(A simple gui interface on statically determinate beam Stress Analysis。)

請設計一個8位元移位暫存器，規格如下： 當控制線S1，S2輸入為00時，平行載入； 當控制線S1，S2輸入為01時，在一時脈內向右shift 1位元； 當控制線S1，S2輸入為10時，在一時脈內向右shift 2位元； 當控制線S1，S2輸入為11時，在一時脈內向右shift 3位元 (Serial Adder)

PURPOSE: EGARCHLIKELIHOOD(P,Q) likelihood function. Helper function to EGARCH

very uesful program about ofdm

spectrum sensing for cognitive radio using energy detection

说明：  CATIA V5创成式工程图设计官方文档，总共490页，很好的学习帮助(CATIA V5 generative drawing style design)

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数(Conjugate Gradient method (Conjugate Gradient) is between the steepest descent method between Newton method and a method, it only USES a derivative information, but overcome the steepest descent method slow convergence of weakness, but also avoid the Newton law needs to storage and computing Hesse inverse matrix and shortcomings, Conjugate Gradient method is not only solve linear equations with most of the large method, and also one of the most effective solution large nonlinear optimization of one of the algorithm. In all kinds of optimization algorithm, the conjugate gradient method is very important. Its advantage is the storage capacity needed, it has small step convergence, high stability, and doesn t require any exotic parameters numerical experiment, this is the modern scientific computing of the answer above problem sets)

自己编写的图像加密程序，要求下载人会用matlab，文件直接解压缩即可(prepare their image encryption procedures, requirements will be downloaded using Matlab, documents can be directly extracted)

t-tide工具包，用于海洋潮汐分析处理，剔潮，计算调和常数等数据处理与计算。(t-tide toolkit for the analysis and processing of ocean tides tick tide calculated harmonic constants and other data processing and calculation.)

stft的几个例子，包括对同一信号输出其等高线图、三维频谱图等，对于初学者很有帮助。(stft several examples, including the same right to export its signal contour maps, three-dimensional map of the spectrum. useful for beginners.)