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signal_and_systems
- 基于matlab平台实现的信号与系统的各种运算，包括傅里叶变换，卷积，绘图，以及信号的采样与恢复-Based on matlab platform to achieve a variety of signals and systems operations, including Fourier transform, convolution, graphics, and signal sampling and recovery
signal-and-system-toolbox
- 信号与系统软件实验工具箱，本系统包括七个实验，分别是：信号的时域基本运算、连续信号的卷积与连续时间系统的时域分析、离散信号的卷积与离散时间系统的时域分析、信号的频域分析、连续信号的采样与恢复、系统的频域分析、信号的幅度调制与解调。为了加强学生的计算机编程能力和应用能力，所有实验均提供设计性实验内容，让学生参与编程。本系统既可作为教师教学的实验演示，又可作为学生动手实验的实验系统。-Signals and Systems Software experimental toolbox, the sys
Ex4_1
- 卷积是数字信号处理中经常用到的运算,本文件是在DSP环境下C语言编写DSP程序的方法-convolution operation
sgysg
- 离散时间的基本运算，是MATLAB函数改进增强版本，更加的实用，包括卷积，折叠等基本运算-Discrete-time basic operations, is an enhanced version of MATLAB function improved, more practical, including convolution, folding and other basic operations
ambiguity
- 计算并显示滤波器的ambiguity function，分析滤波器的时间频域特性，使用卷积矩阵运算速度快-Calculates and displays the filter ambiguity function, time-frequency domain analysis filter characteristics, the use of fast convolution matrix operations
matlab_instance
- 本例程是利用MATLAB作为开发工具，编写代码实现卷积的数值运算-This routine is to use MATLAB as a development tool to write code to achieve the numerical convolution of
convolution
- 实现卷积的程序，可用于进行发电机组可靠性评估时的发电机组并联运算-Implement procedures convolution
1
- 实现了循环卷积的运算，但是只有结果，没有过程-Cyclic convolution operation realized, but only a result, no process
Signal-system
- 信号系统上机实验代码与指导书，采样、连续卷积、连续运算、连续系统-Machine experimental code and instructions on signal systems, sampling, continuous convolution, continuous operation, continuous system
SHUZIXINHAOCHULI
- 离散系统序列的基本运算，离散系统的冲激响应和阶跃响应，卷积的原理及应用， 离散LSI系统的时域响应，Z变换及其应用。-The basic operation sequence of discrete systems, discrete systems impulse response and step response, principles and application of convolution, time-domain response of discrete LSI system,
jjh
- 离散信号的卷积和运算，适用于初学者，学习仿真信号与系统这门课程-Discrete signal convolution and operation, suitable for beginners to learn the simulation of signals and systems this course
Signal-and-Linear-System-Simulation
- 基于labview的信号与线性系统仿真，可以实现傅里叶变换、信号平移、加减、卷积的常见信号运算-Labview based signal and linear system simulation, signal operation can achieve common Fourier transform, signal translation, subtraction, convolution
Digital-Image-Processing
- 有源码，适合学习C++的人 一、 读入一幅灰度图象，编写程序显示图象中任一象素点的灰度值。 二、 编程实现RGB彩色空间到HSV彩色空间的转换，并通过调整H、S、V的值实现图像亮度、色度和色饱和度的调节。 三、 1.灰度线性变换、分段线性变换 2.灰度直方图均衡、规格化 3.图象卷积：各种模板实现低通、高通滤波 4.图象中值滤波、最大值滤波、最小值滤波、模板选择滤波 5.伪彩色图象增强 四、 1.图象的加、减、乘、除和逻辑运算。 2.图象的镜像变换、图象的缩放
GeometricTransform
- 不仅运用C#具有内置的方法来实现图像的几何变换：旋转，缩放，错切和平移，而且还运用仿射变换算法来实现上述的几何变换。最后，运用双线性插值和三次卷积插值算法实现图像的插值运算-Not only the use of C# has a built-in method to achieve an image of geometric transformations: rotation, scaling, shearing and translation, but also the use of the
Dynamic-demonstration-of-DC
- 通过本次实验更加深刻具体的了解信号与系统中离散卷积的运算过程.知道了信号的反褶和位移，阶跃信号x[n]在卷积中的运用，熟练掌握了卷积过程，为信号与系统后面的学习打下了基础。并且在利用MATLAB实现离散卷积的动态过程中，把课本上的理论知识与软件学习相结合，使卷积在脑海中留下更加立体生动的印象。-Through this experiment a deeper understanding of specific signals and systems Discrete convolution op
fiemie_v39
- 有较好的参考价值，意信号卷积的运算,并且绘制图象，对于初学者具有参考意义。- There are good reference value, Convolution operation is intended to signal and image rendering, For beginners with a reference value.
fouqie
- 加入重复控制，最小二乘回归分析算法，意信号卷积的运算,并且绘制图象。- Join repetitive control, Least-squares regression analysis algorithm, Convolution operation is intended to signal and image rendering.
hunsun
- 意信号卷积的运算,并且绘制图象，预报误差法参数辨识-松弛的思想，考虑雨衰 阴影 和多径影响。- Convolution operation is intended to signal and image rendering, Prediction Error Method for Parameter Identification- the idea of relaxation, Consider shadow rain attenuation and multipath effect.
genjei
- ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块，意信号卷积的运算,并且绘制图象，课程设计时编写的matlab程序代码。- ofdm system simulation including 16qam modulation fft windowing modules plus cp, Convolution operation is intended to signal and image rendering, Course designed to prepare the matl
gangnen
- 意信号卷积的运算,并且绘制图象，使用matlab实现智能预测控制算法，基于matlab平台实现。- Convolution operation is intended to signal and image rendering, Use matlab intelligent predictive control algorithm, Based on matlab platform.