pf_colortracker

说明：  matlab的一些基础讲解，适用于初学者。主要是关于在数字信号处理课程中的应用。(to explain some basic matlab for beginners. Mainly on the course in digital signal processing applications.)

演示代码为“独立分量分析:教程介绍”版权:2005年,企业石、心理学系、谢菲尔德大学,谢菲尔德,英格兰。(Demonstration code for "Independent component analysis: A Tutorial Introduction")

拓扑优化程序 拓扑优化程序，研究生课程机械优化设计的课程大作业(Topology optimization program topology optimization program, postgraduate courses mechanical optimization design big job)

说明：  使用hough 变换检测直线，参数可以任意设定，程序说明详细。(Using the hough transform to detect straight lines, the parameter can be set, detailed description of the procedures.)

so what should i write, im tired of writting

general pv model that is done in simulink

机动目标一阶加速度的频率普分析，以及多普勒展宽，相干积累。以70km，径向速度700m，加速度20m/s^2目标为例(An acceleration of maneuvering target frequency bands Pu analysis, and Doppler broadening, coherent accumulation. To 70km, the radial velocity 700m, acceleration 20m/s ^ 2 goals, for example)

说明：  高斯过程(GP)模型中推理和预测的实现。它实现了在《Rasmussen & Williams:机器学习的高斯过程》(麻省理工学院出版社，2006)和《Nickisch & Rasmussen:二进制高斯过程分类的近似》(JMLR, 2008)中讨论的算法。该函数的优点在于灵活性、简单性和可扩展性。该函数具有一定的灵活性，首先通过定义均值函数和协方差函数来确定遗传算法的性质。其次，它允许指定不同的推理过程，如精确推理和期望传播(EP)。第三，它允许指定似然函数，如高斯函数或拉普拉斯函数(用于回归)和累积逻辑函数(用于分类)。简单性是通过一个简单的函数和紧凑的代码实现的。可扩展性是通过模块化设计来保证的，允许为已经相当广泛的推理方法、均值函数、协方差函数和似然函数库轻松添加扩展。(Gaussian Processes for Machine Learning , the MIT press, 2006 and Nickisch & Rasmussen: Approximations for Binary Gaussian Process Classification , JMLR, 2008. The strength of the function lies in its flexibility, simplicity and extensibility. The function is flexible as firstly it allows specification of the properties of the GP through definition of mean function and covariance functions. Secondly, it allows specification of different inference procedures, such as e.g. exact inference and Expectation Propagation (EP). Thirdly it allows specification of likelihood functions e.g. Gaussian or Laplace (for regression) and e.g. cumulative Logistic (for classification). Simplicity is achieved through a single function and compact code.)

维纳滤波进行语音信号的增强，是学习现代信号处理和语音增强的很好的学习程序。(Wiener filtering speech enhancement is a good learning process for learning modern signal processing and speech enhancement.)

Array manipulation in MATLAB