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transform
在matlab中实现十进制到有符号定点二进制的转换(To achieve in matlab decimal to binary signed conversion of fixed-point)
- 2010-08-03 09:34:58下载
- 积分：1
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CCFXF
层次分析法程序，计算多层次的权值矩阵和相应的特征向量，matlab语言编写(AHP program to calculate the weights of multi-level matrix and the corresponding eigenvectors, matlab language)
- 2011-01-22 08:56:41下载
- 积分：1
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ellipse-fitting-in-sensor
在传感器中数据采集后的椭圆拟合算法matlab编程实现(After the sensor data acquisition in the ellipse fitting algorithm matlab programming)
- 2011-02-16 09:22:38下载
- 积分：1
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newton-method
说明： 适用于方程求根，Newton迭代法。求解方程的根。(Newton method to solve the functions.)
- 2011-04-07 22:58:08下载
- 积分：1
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Genetic-algorithm---TSP
基于MATLAB的遗传算法的旅行商（TSP）问题求解，TSP问题：有一个推销员，要到n个城市推销商品，他要找出一个包含所有n个城市的具有最短路程的环路。(Solving based MATLAB genetic algorithm traveling salesman problem (TSP), TSP problem: a salesman to sell goods to the n cities, he wants to find the one that contains all the n loop with the shortest distance of the city.)
- 2013-01-03 01:50:12下载
- 积分：1
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LFM_time_frequency
线性调频信号的时域，频域表示，包括坐标转换设置。对雷达初学者有指导意义！(Linear FM signals in time domain, frequency domain representation, including coordinate conversion settings. Radar beginners guide!)
- 2010-05-16 08:38:38下载
- 积分：1
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psk22
实现扩频里随机信号和伪码序列的产生，以及关于生成扩频序列的MATLAB程序，并用载波信号实现2PSK调制(Spread spectrum signal generated in the realization and pseudo random code sequence, and generate MATLAB program about spreading sequences and modulated carrier signal to achieve 2PSK)
- 2015-04-21 10:16:07下载
- 积分：1
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2
说明： 数字基带信号的波形和功率谱密度绘制 和二进制基带脉冲成形及眼图的绘制(Waveform and power spectral density of digital baseband signal and Binary baseband pulse shaping and eye drawing)
- 2020-05-02 15:46:27下载
- 积分：1
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dcgan-matconvnet-master
说明： ＃在MatConvNet上实施DCGAN
MatConvNet上的深度卷积生成对抗网络（DCGAN注意：任何MCN版本均兼容(# Implement DCGAN on MatConvNet
Deep Convolution Generative Adversarial Network on MatConvNet (DCGAN Note: Any MCN version is compatible)
- 2021-03-26 18:29:14下载
- 积分：1
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perceptron
感知器感知器算法训练二元线性分类器。结构体数据使用感知器学习规则
找到给定的二分类标签数据超平面。
(PERCEPTRON Perceptron algorithm to train binary linear classifier.
Synopsis:
model = perceptron(data)
model = perceptron(data,options)
model = perceptron(data,options,init_model)
Description:
model = perceptron(data) uses the Perceptron learning rule
to find separating hyperplane from given binary labeled data.
model = perceptron(data,options) specifies stopping condition of
the algorithm in structure options:
.tmax [1x1]... maximal number of iterations.
If tmax==-1 then it only returns index (model.last_update)
of data vector which should be used by the algorithm for updating
the linear rule in the next iteration.
model = perceptron(data,options,init_model) specifies initial model
which must contain:
.W [dim x 1] ... normal vector.
.b [1x1] ... bias of hyperplane.
.t [1x1] (optional) ... iteration number.
Input:
data [struct] Labeled (binary) training data.
.X [dim x num)
- 2011-05-01 18:19:52下载
- 积分：1
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