matlabtxjm

基本的常数模算法，用于信道的盲自适应算法。(Basic constant modulus algorithm for blind channel adaptive algorithm.)

关于交互式多模型目标跟踪的快速算法，可以有效跟踪效果(Interactive multiple model target tracking on the fast algorithm can effectively track the effects of)

Image Segmentation (Foreground separated from Background).

This m file analyzes a coherent binary phase shift keyed(BPSK) and a amplitude shift keyed(ASK) communication system. The receiver uses a correlator(mixer-integrator[LPF]) configuration with BER measurements comparing measured and theoretical results. The bandpass and low pass used in the receiver are constructed using z transforms. (This m file analyzes a coherent binary phas e shift keyed (BPSK) and a amplitude shift keyed (ASK) communication system. The receiver uses a correlator (mixer-integrator [LPF]) config Education and other BER measurements comparing with measu red and theoretical results. The bandpass and l ow pass used in the receiver are constructed usi Vi z transforms.)

小波与熵的matlab代码，运行例程，需要的自己改一下(Wavelet and entropy)

说明：  通过matlab实现高斯回归功能，实现对目标函数的预测，希望对大家有所帮助(Through MATLAB to achieve Gaussian regression function, to achieve the prediction of the objective function, I hope to help you)

用于对阵列天线进行仿真的matlab工具包(the toolbox of the matlab for phase array antenna)

brushless direct current motor

主要设计了在matlab下异步电动机双闭环控制的仿真。(The main design of the closed-loop control of asynchronous motor in matlab simulation.)

MMT is a Matlab toolbox implementing the multi-task Lasso models, including: (i) the Lasso (ii) the standard multi-task Lasso, i.e. the group Lasso (iii) the structured input-output multi-task Lasso, a.k.a. the two-graph guided multi-task Lasso proposed in [1]. The last case (iii) subsumes the special cases: tree-guided and the feature-graph guided multi-task Lasso. The core optimization algorithm for solving this model is developed in C to enhance greater computational efficiency. In particular, current scalability of the coefficient matrix that has been tested for MMT is 104*104! The structured input-output multi-task Lasso model is well-suited for addressing the expression quantitative trait loci (eQTL) mapping problems which are of the intrinsic high-dimensional nature. Details can be found in [1].