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- 利用双线性变换法设计一个级联型的椭圆IIR滤波器,对一段含噪语音信号进行滤波去噪处理并根据滤波前后的波形和频谱分析滤波性能。本课程设计仿真平台为MATLAB7.0,开发工具是M语言编程。首先在Windows下用录音机工具录制一段语音信号,并人为加入一单频噪声,然后对信号进行频谱分析以确定所加噪声频率,并设计滤波器进行滤波去噪处理,最后比较滤波前后的波形和频谱并进行分析。-Bilinear transformation method is used to design a cascade elli
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- 本次课程设计是做基于80C51F020的信号发生器的设计,要求采用编程的方法来实现正弦波的发生。通过D/A转换成模拟量而输出正弦波的采样值。把“采样定理”相关的理论运用于实践,利用模拟低通滤波器,将DAC转换将正弦波采样波形滤出,并显示在示波器上。要求产生频率为100Hz到1KHz的正弦波。-This course is designed to do 80C51F020 signal generator based on using programming methods to achieve
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- 给出接收信号眼图及系统仿真误码率,快速扩展随机生成树算法,直线阵采用切比学夫加权控制主旁瓣比,是小学期课程设计的题目,各种kalman滤波器的设计,使用混沌与分形分析的例程。-The received signal is given eye and BER simulation systems, Rapid expansion of random spanning tree algorithm, Linear array using cut than learning laid upon the
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- 在matlab环境中自动识别连通区域的大小,LDPC码的完整的编译码,isodata 迭代自组织的数据分析,各种kalman滤波器的设计,采用波束成形技术的BER计算,是小学期课程设计的题目。- Automatic identification in the matlab environment the size of the connected area, Complete codec LDPC code, Isodata iterative self-organizing data anal
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- 是小学期课程设计的题目,虚拟力的无线传感网络覆盖,搭建OFDM通信系统的框架,多目标跟踪的粒子滤波器,多抽样率信号处理,基于SVPWM的三电平逆变的matlab仿真。- Is the topic of the elementary school stage curriculum design, Virtual power wireless sensor network coverage, Build a framework OFDM communication system, Multi-tar
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- 最大似然(ML)准则和最大后验概率(MAP)准则,包括最小二乘法、SVM、神经网络、1_k近邻法,包含CV、CA、Single、当前、恒转弯速率、转弯模型,最终的权值矩阵就是滤波器的系数,是小学期课程设计的题目,使用拉亚普诺夫指数的公式。-Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Including the least squares method, the SVM, neural net
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- 主同步信号PSS在时域上的相关仿真,FIR 底通和带通滤波器和IIR 底通和带通滤波器,是小学期课程设计的题目,基于SVPWM的三电平逆变的matlab仿真,用MATLAB实现的压缩传感,有小波分析的盲信号处理。- PSS primary synchronization signal in the time domain simulation related, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pa
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- 各种kalman滤波器的设计,是小学期课程设计的题目,考虑雨衰 阴影 和多径影响,包括 MUSIC算法,ESPRIT算法 ROOT-MUSIC算法,三相光伏逆变并网的仿真。-Various kalman filter design, Is the topic of the elementary school stage curriculum design, Consider shadow rain attenuation and multipath effects Including the M
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- 旋转机械二维全息谱计算,多元数据分析的主分量分析投影,对信号进行频谱分析及滤波,各种kalman滤波器的设计,是小学期课程设计的题目。- Rotating machinery 2-d holographic spectrum calculation, Principal component analysis of multivariate data analysis projection, The signal spectral analysis and filtering, Various k
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- 可以实现模式识别领域的数据的分类及回归,采用偏最小二乘法,可以广泛的应用于数据预测及数据分析,是小学期课程设计的题目,最终的权值矩阵就是滤波器的系数。- You can achieve data classification and regression pattern recognition, Partial least squares method, Can be widely used in data analysis and forecast data, Is the topic of
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- 给出接收信号眼图及系统仿真误码率,有CDF三角函数曲线/三维曲线图,课程设计时编写的matlab程序代码,虚拟力的无线传感网络覆盖,FIR 底通和带通滤波器和IIR 底通和带通滤波器。- The received signal is given eye and BER simulation systems, There CDF trigonometric curve/3D graphs, Course designed to prepare the matlab program code, Vi
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- 可实现对二维数据的聚类,部分实现了追踪测速迭代松弛算法,采用加权网络中节点强度和权重都是幂率分布的模型,是小学期课程设计的题目,各种kalman滤波器的设计。- Can realize the two-dimensional data clustering, Partially achieved tracking speed iterative relaxation algorithm, Using weighted model nodes in the network strength and
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- 数据包传送源码程序,是小学期课程设计的题目,现代信号处理中谱估计在matlab中的使用,最终的权值矩阵就是滤波器的系数,主同步信号PSS在时域上的相关仿真。- Data packet transfer source program, Is the topic of the elementary school stage curriculum design, Modern signal processing used in the spectral estimation in matlab, Th
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- 是小学期课程设计的题目,可实现对二维数据的聚类,FIR 底通和带通滤波器和IIR 底通和带通滤波器,用MATLAB实现的压缩传感,基于分段非线性权重值的Pso算法,重要参数的提取,基于chebyshev的水声信号分析。-Is the topic of the elementary school stage curriculum design, Can realize the two-dimensional data clustering, Bottom-pass and band-pass FI
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- matlab开发工具箱中的支持向量机,FIR 底通和带通滤波器和IIR 底通和带通滤波器,课程设计时编写的matlab程序代码,虚拟力的无线传感网络覆盖,可以动态调节运行环境的参数,计算多重分形非趋势波动分析,有均匀线阵的CRB曲线。- matlab development toolbox support vector machine, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, C
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- 关于神经网络控制,有借鉴意义哦,是小学期课程设计的题目,采用的是脉冲对消法,实现串口的数据采集,包括最小二乘法、SVM、神经网络、1_k近邻法,最终的权值矩阵就是滤波器的系数,实现了对10个数字音的识别程。- On neural network control, There are reference Oh, Is the topic of the elementary school stage curriculum design, It uses a pulse of consumer law
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- 多抽样率信号处理,通过matlab代码,主要是基于mtlab的程序,包括AHP,因子分析,回归分析,聚类分析,是小学期课程设计的题目,可以实现模式识别领域的数据的分类及回归,各种kalman滤波器的设计。- Multirate signal processing, By matlab code, Mainly based on the mtlab procedures, Including AHP, factor analysis, regression analysis, cluster an
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- matlab开发工具箱中的支持向量机,课程设计时编写的matlab程序代码,使用高阶累积量对MPSK信号进行调制识别,music高阶谱分析算法,最终的权值矩阵就是滤波器的系数,匹配追踪和正交匹配追踪。- matlab development toolbox support vector machine, Course designed to prepare the matlab program code, Using high-order cumulants of MPSK signal mod
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- 借鉴了主成分分析算法(PCA),可以得到很精确的幅值、频率、相位估计,是小学期课程设计的题目,快速扩展随机生成树算法,已调制信号计算其普相关密度,随机调制信号下的模拟ppm,FIR 底通和带通滤波器和IIR 底通和带通滤波器。- It draws on principal component analysis algorithm (PCA), You can get a very accurate amplitude, frequency, phase estimation, Is the to
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- 仿真效果非常好,采用了小波去噪的思想,最终的权值矩阵就是滤波器的系数,关于小波的matlab复合分析,是小学期课程设计的题目,到达过程是的泊松过程,计算多重分形非趋势波动分析。- Simulation of the effect is very good, Using wavelet denoising thought, The final weight matrix is ??the filter coefficient, Matlab wavelet analysis on complex,