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SIFT
一个经典的matlab的sift算法，应用在图像配准，初学者可以好好学习下(Matlab a classic of the sift algorithm, used in image registration, beginners can learn under)
- 2009-04-09 16:13:09下载
- 积分：1
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pso
Particle Sworm Optimization algorithms
- 2010-05-16 00:31:39下载
- 积分：1
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erzhiyasuo
能够利用游程编码和四叉树编码完成图像二值压缩。(Can use run-length coding and quadtree coding of image binary compression.)
- 2010-05-17 19:37:18下载
- 积分：1
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fem_semicircle2
Solution of Laplace equation in an semi-circle region by FEM method
- 2020-10-07 16:47:36下载
- 积分：1
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68070572015
MATLAB数据分析方法例题程序经典数学建模程序集合(MATLAB data analysis methods Example procedures classical mathematical modeling program set)
- 2012-11-14 21:04:04下载
- 积分：1
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QPSK
提出了一个采用(2,1,7)卷积码+QPSK的中频调制解调方案,并在Xilinx公司的100万
门FPGA芯片上实现了该系统。该系统在信噪比SNR为6dB左右时可实现速率超过1Mbit/s、误码率
小于10-5的数据传输。
(Proposed a use of (2,1,7) convolutional code+ QPSK modulation and demodulation of the IF program, and in Xilinx' s FPGA chip one million on implementation of the system. The system SNR to 6dB signal to noise ratio at about the rate may achieve more than 1Mbit/s, less than 10-5 bit error rate of data transmission.)
- 2009-03-03 16:02:06下载
- 积分：1
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yunsuanfu
实验：
有两个个矩阵a和b，均为2行3列。 重载运算符“+”，
（1）使之能用于矩阵的相加。如c=a+b。
（2）如果参与运算的两个操作数中一个是整数即矩阵+3或3+矩阵形式，进行加法运算也能得出和。
（3）定义自减运算符的前置（i++）和后置（++i）重载编写相应程序并验证它的正确性。
(i think it s a goog for many people)
- 2009-12-28 10:33:54下载
- 积分：1
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prewitt
边缘检测算子 prewitt算子 matlab源码(prewitt matlab)
- 2010-05-24 18:58:29下载
- 积分：1
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optical-basic-princilpe
用matlab写的关于光在空气中的反射和折射的程序(Using matlab to write about the light reflection and refraction in the air program)
- 2012-06-25 16:10:46下载
- 积分：1
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BFGS
拟牛顿法和最速下降法(Steepest Descent Methods)一样只要求每一步迭代时知道目标函数的梯度。通过测量梯度的变化，构造一个目标函数的模型使之足以产生超线性收敛性。这类方法大大优于最速下降法，尤其对于困难的问题。另外，因为拟牛顿法不需要二阶导数的信息，所以有时比牛顿法(Newton s Method)更为有效。如今，优化软件中包含了大量的拟牛顿算法用来解决无约束，约束，和大规模的优化问题。(The quasi-Newton method and the Steepest Descent Methods only require that each step iterations know the gradient of the objective function. By measuring the change of the gradient, constructing a model of the objective function is sufficient to produce superlinear convergence. This method is much better than the steepest descent method, especially for difficult problems. In addition, because the quasi-Newton method does not require information on the second derivative, it is sometimes more effective than the Newton s Method. Today, the optimization software contains a large number of quasi-Newton algorithm used to solve the unconstrained, constraint, and large-scale optimization problems.)
- 2017-05-05 10:28:29下载
- 积分：1
