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weightlifting matlab code for snatch style weight lifting, analysis the muscle and joint angular velocity and linear velocity

CDMA系统中随机扰动蚁群多用户检测算法(CDMA system in random disturbance on ant colony algorithm for multi-user detection)

STBC程序源文件，可以供初学者学习交流使用(STBC program for beginners to learn the exchange of)

matlab应用实例，对于一个电路图，应用matlab仿真解题，求出电路某支路电流及波形(matlab application example, a circuit diagram for the application of problem-solving matlab simulation, find a branch circuit current and waveform)

LM算法的MATLAB实现。Levenberg-Marquardt算法是最优化算法中的一种。最优化是寻找使得函数值最小的参数向量。(LM algorithm in MATLAB. Levenberg-Marquardt algorithm is an optimization algorithm. Optimization is to find the minimum value makes the function parameter vector.)

CHANNEL INVERSION AND REGULAR CHANNEL INVERSION PRECODING IN Mu- mimo

this programs transforms a matrix to a vector which is used after applying a hamming window with 50 overlap and totally useful for speech enhancement

轴承故障诊断程序，其中有数据，结果分析，matlab算法。(Fault diagnosis program for bearing,Including data and results analysis.)

LBG code for VQ watermarking

基于LANDMARC的定位系统上进行的算法复杂度的减小的优化，包括了具体的优化后系统的实现，误差前后对比，改文章还提出了一种adaptive的定位算法，更利于外部变化环境下(In wireless networks, a client’s locations can be estimated using signal strength received from signal transmitters. Static fingerprint-based techniques are commonly used for location estimation, in which a radio map is built by calibrating signal-strength values in the offline phase. These values, compiled into deterministic or probabilistic models, are used for online localization. However, the radio map can be outdated when signal-strength values change over time due to environmental dynamics, and repeated data calibration is infeasible or expensive. In this paper, we present a novel algorithm, known as Location Estimation using Model Trees (LEMT), to reconstruct a radio map by using real-time signal-strength readings received at the reference points. This algorithm can take real-time signal-strength values at each time point into account and make use of the dependency between the estimated locations and reference points. We show that this technique can effectively accommodat)