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LIBSVM 是台湾大学林智仁 (Chih-Jen Lin) 博士等开发设计的一个操作简单、易于使用、快速有效的通用 SVM 软件包，可以解决分类问题（包括 C- SVC 、n - SVC ）、回归问题（包括 e - SVR 、 n - SVR ）以及分布估计（ one-class-SVM ）等问题，提供了线性、多项式、径向基和 S 形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。(LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.)

matlab实现的语音识别程序 源代码和语音样本都有(matlab code for speech recognition implementation have voice samples, as well as txt version of the code)

基于蒙特卡洛方法，模拟电动汽车一天随机出行情况，并预测电动汽车一天的充电负荷及曲线。可自行调整车辆数、充电频率、充电功率、起始充电时间、行驶里程等信息。(EV charging load forecast based on monte carol)

LDPC码的完整的编译码，music高阶谱分析算法，最小均方误差（MMSE）的算法，基于欧几里得距离的聚类分析，BP神经网络用于函数拟合与模式识别，单径或多径瑞利衰落信道仿真，外文资料里面的源代码，MIMO OFDM matlab仿真。( Complete codec LDPC code, music higher order spectral analysis algorithm, Minimum mean square error (MMSE) algorithm, Clustering analysis based on Euclidean distance, BP neural network function fitting and pattern recognition, Single path or multipath Rayleigh fading channel simulation, Foreign materials inside the source code, MIMO OFDM matlab simulation.)

数字预失真的MATLAB仿真，有详细说明(MATLAB simulation of digital predistortion, with a detailed description.)

平滑IMM算法,用于机动目标的跟踪,并与常用的IMM滤波估计算法进行了比较(IMM smoothing algorithm for maneuvering target tracking, and with commonly used filtering IMM estimation algorithm are compared)

matlab 中实现一个四叉树的结构,使用递归过程，整合成一次二向遍历(secure yourself with a simple quadtree in matlab)

mark_minutia for fingerprint

扩频序列仿真代码，包括主函数，产生序列函数，扩频函数，调制函数，多径衰落函数。(Spreading sequences simulation code, including the main function, the sequence function, spread function, modulation function, multipath fading function.)

快速独立分量分析（FastICA）源码及ICA在MRI图像中应用的例程。(Fast independent component analysis (FastICA) and ICA source images in MRI applications routines.)