-
suivi-de-points-sur-visage
this program can folow points in the face
- 2011-01-30 17:17:10下载
- 积分:1
-
QPSK_Demodulation_system_simulation_lab
本PDF是对QPSK调制方式的完美解释,非常适合初学者学习,有了本材料,QPSK对你将是小菜一碟(This PDF is the perfect QPSK modulation to explain, very suitable for beginners to learn, with this material, QPSK will be a piece of cake for you)
- 2009-07-10 21:31:47下载
- 积分:1
-
MATLAB-Function-List
MATLAB7.X信号处理工具箱函数汇总
1、 滤波器分析与实现
2、 FIR数字滤波器设计
3、 IIR数字滤波器设计
4、 模拟滤波器设计
5、 模拟滤波器变换
6、 滤波器离散化
7、 线性系统变换
8、 窗函数
9、 变换
10、 统计信号处理与谱分析
11、 参数模型
12、 线性预测
13、 多采样率信号处理
14、 波形产生
15、 特殊操作(MATLAB7.X Signal Processing Toolbox functions Rollup 1, filter analysis and implementation of 2, FIR digital filter design 3, IIR digital filter design 4, 5 analog filter design, analog filter transform 6, 7 discrete filter, 8 linear system transformation, the window function 9, 10 transformation, statistical signal processing and spectrum analysis 11, 12-parameter model, linear prediction 13, 14 of multirate signal processing, waveform generator 15, a special operation)
- 2011-11-11 09:53:09下载
- 积分:1
-
matlabaco2
基于matlab的机器人路径规划源代码。。。。。。(The robot path planning based on matlab source code. . . . . .)
- 2009-10-28 10:33:08下载
- 积分:1
-
noisePowProposed
noise power estimation
- 2012-05-17 12:47:09下载
- 积分:1
-
transmit
无线信号发送主要采用多位数据格式,编码可达上百万个不同重复(Wireless signal mainly adopts several data format, coding can be up to millions of different repetition)
- 2013-12-02 16:04:04下载
- 积分:1
-
mb_Sm_Int.project
this is for modelling small network application with opnet.
- 2011-01-15 17:31:57下载
- 积分:1
-
gongetidufadshuzhixingzhi
共轭梯度法(Conjugate Gradient)是介于最速下降法与牛顿法之间的一个方法,它仅需利用一阶导数信息,但克服了最速下降法收敛慢的缺点,又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点,共轭梯度法不仅是解决大型线性方程组最有用的方法之一,也是解大型非线性最优化最有效的算法之一。 在各种优化算法中,共轭梯度法是非常重要的一种。其优点是所需存储量小,具有步收敛性,稳定性高,而且不需要任何外来参数(Conjugate Gradient method (Conjugate Gradient) is between the steepest descent method between Newton method and a method, it only USES a derivative information, but overcome the steepest descent method slow convergence of weakness, but also avoid the Newton law needs to storage and computing Hesse inverse matrix and shortcomings, Conjugate Gradient method is not only solve linear equations with most of the large method, and also one of the most effective solution large nonlinear optimization of one of the algorithm. In all kinds of optimization algorithm, the conjugate gradient method is very important. Its advantage is the storage capacity needed, it has small step convergence, high stability, and doesn t require any exotic parameters numerical experiment, this is the modern scientific computing of the answer above problem sets)
- 2012-03-26 18:48:46下载
- 积分:1
-
codefractalgenerator
this code is matlab code that generate fractal shapes.
- 2012-04-02 20:18:49下载
- 积分:1
-
filin
It is a hologram file player/processor example.
- 2015-04-17 23:18:36下载
- 积分:1