Riemann-solver

hough 变换检测猕猴桃果实，可以对分割出来的二值图中的果实进行定位(hough transform detection of kiwi fruit, you can split the fruit in the binary image to locate)

高等數位訊號處理第九章作業 可以參考看看 裡面還有其他章作業(Advanced Discrete-Time Signal Processing )

彩色图像的色彩空间转换，rgb ntsc hsv hsl(Color image color space conversion, rgb ntsc hsv hsl)

RAKE receiver for DS-SS systems - rev1.0(RAKE receiver for DS-SS systems- rev1.0)

设计切比雪夫1型滤波器，对输入信号进行滤波，并观察功率谱密度(Design of Chebyshev Type 1 filter, filtering the input signal and observe the power spectral density)

本程序为基于几何地图方式的机器人定位matlab程序，利用地图匹配法定位，根据在局部地图中寻找完整线段与特征点，并在全局地图中寻找预制对应的线段(The programming is about the robot location which based the geometry map.this programming is used the method of map_matching ,in means of find the Complete Line Segments (CLS) and feature points in local map and Global map.)

MATLAB电力系统仿真，包括电力、光伏、风能并网的仿真，具有较好的参考价值。(MATLAB power system simulation, including electric power, solar and wind power grid simulation, has good reference value.)

支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)

Basic Continuous and Discrete Time functions

MATLAB CODE FOR INFORMATION THEORY AND CODING