matlab

8PSK解调算法的实现，希望对进行调制解调的朋友有所帮助！(8PSK demodulation algorithm, want to be friends modem help!)

对信号进行内插处理，有16个复信号：1~16Hz；内插I=16 ；内插前采样率50Hz；滤波器265阶 。(Interpolation processing signal 16 multiplexed signals: 1 Hz to 16 Hz interpolated I = 16 before interpolation sampling rate of 50Hz filter 265 order.)

标量Kalman滤波器仿真。设计一个kalman滤波器对其进行处理得到的最佳估计。(Scalar Kalman filter simulation. Design a kalman filter to process it to get the best estimate.)

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基于matlab环境开发的矢量量化编码，有报告以及代码文件(Matlab environment based on the development of the vector quantization encoding, there are reports and code files)

采用最小二乘法，对水位数据进行调和分析。可同时处理多个站点的水位调和分析，站点个数不限，在输入文件中可更改分潮个数。(Least squares method, the water level data for harmonic analysis. Can simultaneously handle multiple sites water harmonic analysis, number of sites not limited to, change in the input file, the number of sub-tidal.)

Convert an Image From bit level to pixel level

用平面波展开法计算二维带缺陷态结构的光子晶体的能带图。matlab程序源代码(With a two-dimensional plane wave expansion method to calculate the band structure of photonic crystal defect states in the energy band diagram. matlab source code)

说明：  图像逆透视变换，本文只有程序，没有理论知识，理论知识可以参考网上的详细讲解，本文程序是搬网上大神的，谢谢！(Image inverse perspective transformation, this article only procedures, no theoretical knowledge, theoretical knowledge can refer to the detailed explanation on the Internet, this article procedure is to copy the online God, thank you!Image inverse perspective transformation, this article only procedures, no theoretical knowledge, theoretical knowledge can refer to the detailed explanation on the Internet, this article procedure is to copy the online God, thank you!)

HSSVM是一个用超球SVM（Hyper-Sphere Support Vector Machines）模型求解多分类问题的工具包，采用Java语言实现。开发该程序的主要目的，是利用超球SVM求解模型代替传统上借助于解二分类问题的经典SVM模型来求解多分类问题。本文将论述该程序的主要实现细节，包括相关算法及设计原理的描述。(HSSVM is an ultra ball SVM (Hyper-Sphere Support Vector Machines) to solve multi-classification model of tool kit, using Java language. Development of the program' s main purpose is to solve the model by Ball SVM instead of the traditional means of solving two classification problems on the classical SVM model to solve multi-classification problems. This article discusses the main implementation details of the program, including related algorithms and design principles are described.)