ARMASA

MATLAB仿真rake接收机，分三种方式：等增益合并，最大比合并和选择性合并(MATLAB simulation rake receiver, divided three ways: equal gain combining, maximum ratio combining and selective merge)

The primary objective of the QRD-M detector is to identify the candidate list. The QRD-M algorithm is a breadth-first tree search. It views all the branches it will ever consider for a given stage of the detection tree and then rejects all but the Mi best nodes at the i-th detection stage before continuing on to the next stage.

利用matlab产生FSK信号，里面有详细的说明，源代码注解。非常详细，非常经典。(very good )

MATLAB基本工具箱，适合初学者使用，包括matlab的基本工具箱(The basic MATLAB toolbox for beginners, including the basic toolbox of matlab)

3A rational design of a digital shearlet transform 2010-Donoho-Kutyniok-Shahram-Zhuang-SampTA

SPRINGER PAPER FOR EMPIRICAL ODE DECOMPOSITION

Enegry of a Speech signal.

图像分割算法的Matlab源程序，里面含有大量经典源代码(image segmentation algorithm Matlab source, it contains a large number of classic source code)

LDPC编码调制系统8QAM,研究生毕业论文哦，希望对大家有用(LDPC coded modulation system 8QAM, graduate thesis Oh, I hope useful)

matlab源代码，是非负矩阵分解工具箱，包含乘法更新，最小二乘约束，投影梯度法等方法(Usage: [W,H] = nmf(X,K,alg,maxiter,speak) W: output matrix H: output matrix X: input matrix K: number of components alg: algorithm to use maxiter: maximum number of iterations speak: print to screen Algorithms: mm: Multiplicative updates method using euclidean distance measure. cjlin: Projected gradient method prob: Probabilistic non-negative matrix factorization. als: Alternating least squares. alsobs: Alternating least squares with optimal brain surgeon. Demonstrations: PET: NMF on a PET dataset Text: NMF used on a three different datasets Email, medical, and CNN. Algorithms mm: Multiplicative update method using euclidean distance measure. Described in Lee and Seung, 2001, Algorithms for Non-negative Matrix Factorization, Advances in Neural Information Processing Systems 13, 556-562. This algorithm is the most commonly used algorithm to solve NMF. cjlin: Alternative non-negative least squares using projected gradients. Author: Chih-Je)