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QPFK
说明： 对离散数字信号实现QPSK调制，输出调制后的信号(Implementation of discrete digital signals QPSK modulation, the modulated signal output)
- 2011-04-16 16:40:24下载
- 积分：1
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10--Advanced-numerical-calculation
此为matlab详尽学习资料第十章“高级数值计算”(This is a detailed matlab learning materials Chapter 10, " Advanced numerical computing" )
- 2013-07-23 20:35:10下载
- 积分：1
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antsyscolony
关于TSP旅行商问题的蚁群标准算法，以及在一些地方的改进算法(TSP Traveling Salesman Problem on the standard ant colony algorithm and improved algorithm in some places)
- 2010-05-27 17:55:10下载
- 积分：1
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GyroAndAccDataReader
陀螺仪数据采集程序
采用转换串口采集数据后直接传到MATLAB中，适用于单轴陀螺仪数据快速采集与标定(the programme to get the datas from gyros)
- 2013-08-09 20:54:39下载
- 积分：1
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labview5
使用低通滤波器从含有噪声的信号中提取有用的正弦波
(见实验指导书 实验九 数字滤波器中的第一题)
目的：用数字滤波器从含有高频噪声的采样数据中提取正弦信号。
要求：①输入信号为一正弦波，并加入一个白噪声的干扰来模拟信号传输中的随机干扰信号（用以模拟含有噪声采样序列）。
（模拟含有噪声采样序列具体可用正弦波信号叠加高频噪声来实现，为了使滤波效果明显，本实验的高频噪声是用高频均匀分布白噪声（Uniform）通过Butterworth高通滤波器过滤生成的，高通滤波器的截止频率设为10倍输入信号频率。）
②在程序中设计一个低通巴特沃斯滤波器，以滤除信号中的噪声分量，提取输入的正弦波信号 。
③可调节信号滤波器的截止频率和阶数，可显示滤波前与滤波后的时域信号。
④给出滤波前与滤波后的频谱特性的显示。
(Using low pass filter extracting useful sine wave signal containing noise(see experiment instruction digital filter in the first nine questions)Objective: to use digital filter sampling data extract containing high frequency noise sine signal.Requirements: (1) the input signal is a sine wave, and add a white noise interference to simulate the random disturbance signal of the signal transmission (to simulate contains noise sampling sequence).(simulated the sampling sequence contains noise available sine wave signal superposition of high frequency noise, in order to make the filtering effect is obvious, the experiment of high frequency noise is Uniform distribution with high frequency white noise (Uniform) by Butterworth high-pass filter to filter generated, high-pass filter cutoff frequency set to 10 times the size of the input signal frequency.)(2) in the program design a low-pass butterworth filter, in order to filter out the noise in the signal component, extract the input sine wav)
- 2014-11-23 09:08:57下载
- 积分：1
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2DPCS
二维光子晶体禁带的遗传优化算法MATLAB源码，一起交流 (Genetic dimensional photonic crystal band gap optimization algorithm MATLAB source code, with the exchange)
- 2013-12-13 15:16:35下载
- 积分：1
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JPEG-2000-
本文所做的主要工作为：研究了JPEG2000标准的原理和基本框架，对JPEG 2000标准的核心—小波变换压缩技术进行了分析研究，概要的介绍了小波理论。对EZW算法进行了详细分析和描述，包括零树的含义、结构及其扫描方法。并应用Matlab图像处理工具箱和小波分析工具箱对图像小波变换处理，并通过接口工具Mex实现在Matlab环境下对C程序EZW编码的调用，实现了应用零树小波编码算法对图像的压缩处理，简单地实现了对JPEG 2000的仿真。(The main work that this text do is:Studied the principle and basic frames of the JPEG2000 standard, to the center of JPEG 2000- Wavelet transform compress which had been analyzed and researched .Carried on the detailed analysis and descriptions to the calculate way of EZW, include zero-tree coding, structures and it’s scans method. In Turbo C environment using C language to simulate wavelet zero-tree coding algorithm, using Matlab image processing toolbox and wavelet analysis toolbox, and using interface tool Mex to implement transferring the C program in Matlab, and implement the image compress by wavelet zero-tree transform coding methodology,and supplely implement JPEG2000.)
- 2012-11-14 18:44:01下载
- 积分：1
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Applied-Econometrics-using-MATLAB
apply economics with matlab
- 2012-11-23 12:57:26下载
- 积分：1
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dljs
基于Matlab的电力系统短路计算程序，可在一定条件下计算出特定电力系统各支路的短路电流和个节电的短路电压(A program which based by matlab that fucking translation fucking english describ)
- 2013-12-31 15:45:51下载
- 积分：1
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最速下降法
说明： 最速下降法是迭代法的一种,可以用于求解最小二乘问题(线性和非线性都可以)。在求解机器学习算法的模型参数，即无约束优化问题时，梯度下降（Gradient Descent）是最常采用的方法之一，另一种常用的方法是最小二乘法。在求解损失函数的最小值时，可以通过梯度下降法来一步步的迭代求解，得到最小化的损失函数和模型参数值。反过来，如果我们需要求解损失函数的最大值，这时就需要用梯度上升法来迭代了。在机器学习中，基于基本的梯度下降法发展了两种梯度下降方法，分别为随机梯度下降法和批量梯度下降法。(The steepest descent method is a kind of iterative method, which can be used to solve the least squares problem (both linear and nonlinear). In solving the model parameters of machine learning algorithm, that is, unconstrained optimization, gradient descent is one of the most commonly used methods, and the other is the least square method. When solving the minimum value of loss function, the gradient descent method can be used step by step to get the minimum value of loss function and model parameters. Conversely, if we need to solve the maximum value of the loss function, then we need to use the gradient rise method to iterate. In machine learning, two kinds of ladders are developed based on the basic gradient descent method)
- 2019-11-24 13:06:03下载
- 积分：1
