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Nonlinear_Programming
非线性规划中的最陡下降法、BFGS方法和共轭梯度法matlab源程序(3-拟牛顿BFGS方法).m(Non-linear programming in the steepest descent method, BFGS and conjugate gradient method matlab source code (3- Quasi-Newton BFGS method). M)
- 2009-07-17 14:44:21下载
- 积分:1
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JPEG2000
用matlab实现的JPEG算法,简单易懂(Matlab achieved using JPEG algorithm, easy-to-read)
- 2009-01-13 15:36:05下载
- 积分:1
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sada
神经网络用于故障预测的matlab编程实例(matlab example)
- 2014-09-30 18:03:44下载
- 积分:1
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imIntegralHist
A m-function called iHist to compute the histogram of any rectangular subimage
of the input image given the integral histogram
- 2014-10-06 13:01:58下载
- 积分:1
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DAFC
对二阶被控对象实现直接自适应模糊控制器设计与仿真(Implementation of the Second accused of objects Direct Adaptive Fuzzy Controller Design and Simulation)
- 2010-06-19 09:46:00下载
- 积分:1
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QPSKBPSK
QPSK BPSK qam的AWGN和瑞利信道的生成和仿真(QPSK BPSK qam of AWGN and Rayleigh Road, generation and simulation)
- 2010-08-02 09:49:31下载
- 积分:1
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MPSKMQAMmudulation
说明: 本程序用于完成BPSK、QPSK、pi/4QPSK、OQPSK、8PSK、16QAM、32QAM、64QAM和128QAM的调制仿真。并可任意扩展到MPSK和MQAM。程序分成四个部分,fir.m对基带码元序列进行脉冲成型,可选矩形脉冲,升余弦脉冲和平方根升余弦脉冲; modal.m 为主程序,完成岁各种信号的基带星座图映射、脉冲成型和调制;pi4QPSK.m 为pi/4QPSK信号的星座图映射程序;test1.m给出一个简单的频谱显示测试。(This procedure for the completion of BPSK, QPSK, pi/4QPSK, OQPSK, 8PSK, 16QAM, 32QAM, 64QAM and the modulation 128QAM simulation. Arbitrary and may be extended to MPSK and MQAM. Procedures are divided into four parts, fir.m of baseband symbol pulse sequences forming, optional rectangular pulse, raised cosine square root raised cosine pulse and pulse modal.m-based procedures, the completion of the age range of the base-band signal constellation diagram mapping, pulse shaping and modulation pi4QPSK.m for pi/4QPSK signal constellation diagram mapping procedures test1.m given spectrum shows a simple test.)
- 2021-04-12 10:58:58下载
- 积分:1
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chap3_3
时滞系统大林算法matlab.m文件 c语言仿真程序(Delay Control with Dalin Algorithm)
- 2012-09-01 08:21:43下载
- 积分:1
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Question4
Network connectivity
- 2013-05-11 18:10:54下载
- 积分:1
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fir_chebychev_design
Designs an FIR filter given a desired frequency response H_des(w).
The design is judged by the maximum absolute error (Chebychev norm).
This is a convex problem (after sampling it can be formulated as an SOCP).
minimize max |H(w) - H_des(w)| for w in [0,pi]
( where H is the frequency response function and variable is h
(the filter impulse response).
)
- 2011-05-27 21:43:35下载
- 积分:1