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Description: Practical FIR Filter Design in MATLAB
Revision 1.1
Ricardo A. Losada
The MathWorks, Inc.
3 Apple Hill Dr. Natick, MA 01760, USA
January 12, 2004
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Size: 886784 |
Author: 陈严 |
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Description: 实现butterworth滤波器,能够输出幅频特性曲线-Realize Butterworth filter, to output the amplitude-frequency characteristic curve
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Size: 1024 |
Author: 李念峰 |
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Description: 实现匹配滤波器的matlab仿真，模拟了从信源波形编码、信道传输和接收译码的全过程。-Realize the matched filter matlab simulation, analog waveform from the source coding, channel transmission and reception of the whole process of decoding.
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Size: 299008 |
Author: 王勇 |
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Description: 自适应滤波器原理matlab程序-Principle of adaptive filter matlab program
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Size: 114688 |
Author: hehongsen |
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Description: matlab实现的粒子滤波器源代码，多若干实例并有与Kalman滤波器性能的比较-realize the particle filter matlab source code, and more with some examples and compare the performance of Kalman filter
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Size: 11264 |
Author: huangmu |
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Description: matlab低通滤波器，可直接在matlab运行，显示
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Size: 1024 |
Author: 安哲 |
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Description: 基于MATLAB的数字滤波，包含源程序及说明-MATLAB-based digital filtering, including source and description
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Size: 257024 |
Author: ypy |
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Description: 小波变换的一级分解过程是，原始信号分别进行低通、高通滤波，再分别进行二元下抽样，就得到低频、高频（也称为平均、细节）两部分系数；而多级分解则是对上一级分解得到的低频系数再进行小波分解，是一个递归过程。-Wavelet decomposition level is, the original signal were low-pass, high pass filter, and then carried out under the binary sample, we obtained low-frequency, high-frequency (also known as the average, details) coefficient of two parts and multi-level decomposition it is the decomposition level to be low-frequency coefficients further wavelet decomposition is a recursive process.
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Size: 7420928 |
Author: 王正 |
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Description: 模拟图像受高斯白噪声和椒盐噪声的影响，采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波，采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波，图像的自适应魏纳滤波-Simulated images by the Gaussian white noise and salt and pepper noise, using two-dimensional median filtering function medfilt2 of interference by salt and pepper noise image filtering using MATLAB
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Size: 1024 |
Author: 朋友 |
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Description: 关于matlab图象处理的直方图均衡化，理想平滑滤波器和中值滤波去除椒盐噪声的源代码，比较简洁，不妨-Matlab image processing on the histogram equalization, an ideal smoothing filter and median filter to remove salt and pepper noise of the source code, comparing simple, may wish to
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Size: 3072 |
Author: hbch |
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Description: 用Matlab进行数字信号处理的实际FIR的设计方案与步骤-Using Matlab to carry out digital signal processing the actual FIR design program and the steps
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Size: 882688 |
Author: liqingnan |
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Description: 用Matlab进行数字信号处理的IIR滤波器的设计方案与步骤-Using Matlab to carry out digital signal processing of the IIR filter design programs and procedures
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Size: 423936 |
Author: liqingnan |
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Description: 用bilateral Filter 去除噪声-Bilateral Filter used to remove noise
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Size: 2048 |
Author: Doffery |
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Description: 使用MATLAB编写的卡尔曼滤波源程序，简单易用，输出卡尔曼滤波的最优结果。-Prepared by the use of MATLAB Kalman filter source, easy-to-use, the output of the optimal Kalman filter results.
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Size: 2048 |
Author: 张平 |
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Description: 一个音频滤波器的C++类，可以实现低通，高通滤波，并可以指定频率，带宽和增益值-An audio filter C++ Category, you can realize low-pass, high pass filter, and can specify the frequency, bandwidth and gain value
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Size: 2048 |
Author: cxcxcx |
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Description: LMS自适应滤波器是使滤波器的输出信号与期望响应之间的误差的均方值为最小，因此称为最小均方（LMS）自适应滤波器。-LMS adaptive filter is to filter the output signal in response to and expectations of the error between the mean square value of the smallest, so called the least mean square (LMS) adaptive filter.
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Size: 47104 |
Author: jj |
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Description: 该程序功能主要是运用matlab的小波函数完成图像的读入和显示，并实现加入噪声，最后运用小波函数滤除-The main function of the program is to use matlab image of the wavelet function of the read and display, and the realization of adding noise, and finally the use of wavelet function filter
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Size: 5120 |
Author: fanny |
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Description: 关于matlab数据滤波的资料，相信看了会很有帮助的-Matlab data on the filtering of information, I believe it would be helpful to read the
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Size: 205824 |
Author: 贺丽红 |
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Description: DSB调制解调，并且加入了高斯白噪声和带通滤波器，模拟了完整的系统-DSB modem, and joined the Gaussian white noise and band-pass filter to simulate a complete system
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Size: 1024 |
Author: 张传志 |
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Description: FIR数字滤波器的设计 matlab语言-FIR digital filter design matlab language
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Size: 138240 |
Author: 邱杰富 |
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