rx_move_cyclic_prefix

实验要求：在一张图上绘制三种二进制信号（即反极性信号、开关信号和正交信号）的误码率。这三种信号可以在几何上用“信号空间”中的点来表示。在反极性信号情况下，信号是±s(t)，每个都有能量E。开关信号也是一维信号，所以两个信号为0和s(t)，正交信号我们上课已讲过。要求信噪比为0：12dB。(Experimental requirements: to draw a diagram of three binary signals (i.e., reverse polarity signal, the switching signal and quadrature signal) BER. These three signals can be in the geometric point in the signal space. In the reverse polarity signal case, the signal is s (t), each have energy E. The switching signal is also a one-dimensional signal, so the two signals is 0 and s (t), the quadrature signals teach us have talked. Signal-to-noise ratio to 0:12 dB.)

Prior to release 0.40, H5DUMP relied upon HDF5INFO to provide the metadata necessary, but now it now relies entirely on the low-level interface. Since it is not backwards compatible with prior releases, the old version is provided in the obsolete directory. (Prior to release 0.40, H5DUMP relied upon HDF5INFO to provide the metadata necessary, but now it now relies entirely on the low-level interface. Since it is not backwards compatible with prior releases, the old version is provided in the obsolete directory.)

In order to minimize power losses caused by high current and improve the voltage profile in the network distribution, the introduction of dispersed generations also called productions decentralized in distribution network (DG) plays an important role. The installation of DGs directly affects the power requested or purchased

MATLAB 是美国MathWorks公司出品的商业数学软件，用于算法开发、数据可视化、数据分析以及数值计算的高级技术计算语言和交互式环境，主要包括MATLAB和Simulink两大部分。 (matlab)

ShearLet Transform in Matlab

关于内部热耦合精馏塔的波动模型建模策略研究(Internal thermal coupling on fluctuations in distillation column modeling Strategy)

采用身高和体重数据作为特征，分别假设二者相关或不相关，在正态分布假设下估计概率密度，建立最小错误率Bayes分类器，写出得到的决策规则，将该分类器应用到训练/测试样本，考察训练/测试错误情况。(The use of height and weight data as the characteristics of the assumption that the two were related or not related to the normal distribution probability density is estimated under the assumption that the establishment of Bayes minimum error rate classifier, the decision-making rules have been written, the classifier is applied to training/test samples to study the training/testing error conditions.)

光镊计算工具箱，Queenland大学的 编码很犀利(Queenland University of encoding is very sharp optical tweezers Computing Toolbox)

pri变换分选算法仿真实现，改进经典PRI变换算法(PRI transformation algorithm)

The problem of image registration subsumes a number of problems and techniques in multiframe image analysis, including the computation of optic flow (general pixel-based motion), stereo correspondence, structure from motion, and feature tracking. We present a new registration algorithm based on spline representations of the displacement field which can be specialized to solve all of the above mentioned problems. In particular, we show how to compute local flow, global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of the above problems. Using a spline-based description of the flow removes the need for overlapping correlation windows, and produces an explicit measure of the correlation between adjacent flow estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D projective scene geometry. We also provide results on a number of standard motion sequences.