-
hilbert
Discrete-time analytic signal via Hilbert transform.
X = HILBERT(Xr) computes the so-called discrete-time analytic signal
- 2015-02-11 20:18:14下载
- 积分：1
-
bintoCCK
增加SCFDE系统的误码性能
改善SCFDE系统的误码性能(Increased SCFDE bit error rate performance of the system
Improve the BER performance of SCFDE system
)
- 2012-06-11 21:47:03下载
- 积分：1
-
Turbo
实现turbo码的编码和解码，是一个递归卷积码的编解码的程序(Turbo code to achieve the encoding and decoding)
- 2009-05-08 21:42:25下载
- 积分：1
-
ch8example7prog1
用MATLAB实现 泊松分布随机数的产生和皮尔逊检验(Poisson distributed random number generation and Pearson test)
- 2011-06-30 11:55:16下载
- 积分：1
-
MATLAB-optimization-toolbox-tutorial
MATLAB优化工具箱使用教程，含有具体应用与实例(MATLAB optimization toolbox tutorial, containing specific applications and examples)
- 2013-11-06 17:49:46下载
- 积分：1
-
simulink_labs
说明： simulink相关的一些非常经典的案例，涉及到了基本的使用和深入的使用。(simulink relevant to some of the most classic cases, involving the use of basic and in-depth use.)
- 2010-04-25 15:48:34下载
- 积分：1
-
amp_saleh
Matlab code for Saleh model non-memory amplifier. Supports IBO/OBO specification.
- 2011-04-29 03:36:01下载
- 积分：1
-
alternator
alternator matlab file very good
- 2014-01-16 17:26:38下载
- 积分：1
-
code
this code is in Matlab.and this code od for Speaker recognitoin system.
- 2009-03-14 03:15:55下载
- 积分：1
-
multi-task_lasso
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].
- 2020-12-05 15:59:23下载
- 积分：1
