1Channel-EstimationMIMO

说明：  An automatic variational level set segmentation framework for computer aided dental X-rays analysis in clinical environments

平稳信号的模拟与特征估计 随机信号课程实验(Stationary signal characteristics of the simulation and experimental courses estimated random signal)

WCDMA的仿真代码,包含信道编码，交织，速率匹配，调制，扩频，信道模型，RACK接收机.(wcdma_simulink code)

说明：  给出了分形计算的源代码的matlab程序，可以迅速帮助大家进行分形的分析与计算，参数容易设置(given fractal calculation of the source code Matlab procedures, we can quickly help fractal analysis and calculation of parameters easy to set up)

matlab 遗传算法偏最小二乘法(gapls)(Matlab GA partial least squares (gapls))

智能控制程序，在智能控制课文中的实例应用程序！容易上手、实用！(Intelligent control procedures, in instances of intelligent control applications in the text! Easy to use, practical!)

leach分簇算法，代码简单易懂,适合学习(leach algorithm)

Abstract—We propose two novel energy-aware routing algorithms for wireless ad hoc networks, called reliable minimum energy cost routing (RMECR) and reliable minimum energy routing (RMER). RMECR addresses three important requirements of ad hoc networks: energy-efficiency, reliability, and prolonging network lifetime. It considers the energy consumption and the remaining battery energy of nodes as well as quality of links to find energy-efficient and reliable routes that increase the operational lifetime of the network. RMER, on the other hand, is

在一种变步长LMS 算法的基础上，引进动量因式，提出了一种新的改进LMS 的算法。新算法整体性能优 于变步长LMS 算法以及LMS 算法。通过理论分析，比较了新的算法和变步长LMS 算法以及LMS 算法的收敛性 和稳态性，提出了一种设想以提高新算法的稳态性。仿真试验证明了新算法的优越性以及设想的在仿真条件下的正 确性。(In a variable step size LMS algorithm, based on the introduction of momentum factor, a new improvement of LMS algorithms. The overall performance of the new algorithm is superior to variable step size LMS algorithm and LMS algorithm. Through theoretical analysis, comparing the new algorithm and variable step size LMS algorithm and LMS algorithm convergence and steady-state, and proposes a new algorithm is envisaged to enhance the steady-state nature. Simulation tests proved the superiority of the new algorithm, as well as envisaged under the conditions in the simulation is correct.)

隐马尔可夫模型参数的极大似然估计,用来求解HMM的第三个问题(HMM maximum likelihood parameter estimates used to solve the third problem HMM)