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数字滤波器是一种具有频率选择性的离散线性系统,在信号数字处理中有着
广泛的应用。数字滤波器的设计实际上是确定其系统函数H (z)并实现的过程。本文介绍了
用MATLAB设计、实现和分析HR数字滤波器的方法。-digital filter is a kind of frequency selective discrete linear systems, the digital signal processing has wide application. Digital filter de
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Signal Processing and Linear Systems,B.P. Lathi,Berkeley-Cambridge Press book matlab codes
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实现滤波器的功能,有限冲激响应(FIR)数字滤波器和无限冲激响应(IIR)数字滤波器广泛应用于数字信号处理系统中。IIR数字滤波器方便简单,但它相位的非线性,要求采用全通网络进行相位校正,且稳定性难以保障。FIR滤波器具有很好的线性相位特性,使得它越来越受到广泛的重视。-Realize the filter function, finite impulse response (FIR) digital filters and infinite impulse response (IIR) dig
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此文件包含三个MATLAB程序,用于对线性系统AR模型的权向量估计:Kalman滤波估计,RLS和LMS,均为较常用的估计方法,并附有相应的仿真图-There are three programs in this files:kalman,RLS and LMS to pridict the victors of linear systems . These three wawys are common and useful in signal processing
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Sound is usually considered as a mono-dimensional signal (i.e., a function
of time) representing the air pressure in the ear canal. For the purpose of this
book, a Single-Input Single-Output (SISO) System is defined as any algorithm
or device t
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总体最小二乘方法的谐波频率估计。线性参数估计问题广泛存在于众多科学与工程学科,如信号处理、自动控制、系统理论、物理、化学工程、统计学、经济学、生物学、医学和军事工程等。最小二乘方法是最常用的线性参数估计方法。-Total least squares method of harmonic frequency estimation. Linear parameter estimation problem is widespread in many scientific and engineering
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Digital signal processing (DSP) algorithms exhibit an increasing need for the
e#cient implementation of complex arithmetic operations. The computation of
trigonometric functions, coordinate transformations or rotations of complex valued
phasors
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就目前的趋势来看,对硬件复杂信号处理的了解主要是缺少对硬件信号处理结构的了解。虽然有许多硬件高效算法的存在,但是由于在过去得25年里软件的优势明显,人们对这些法则并不了解。CORDIC法则就是其中的一个,它是运用平移-相加完成某些三角函数,双曲线,线性,对数的运算功能。虽然有很多的文章已经介绍了CORDIC 运算法则的各种不同的方面 ,却很少有针对CORDIC在FPGA上执行的研究。这篇论文就是研究在一个CORDIC体系下,以往的那些功能是如何完成的,以及解释运算法则如何工作,而且探究针对FPG
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数值分析的EULER法,进行逐步线性回归,线性调频脉冲压缩的Matlab程序,给出接收信号眼图及系统仿真误码率,信号处理中的旋转不变子空间法。- EULER numerical analysis method, Stepwise linear regression, LFM pulse compression of the Matlab program, The received signal is given eye and BER simulation systems, Signal Pro
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进行逐步线性回归,给出接收信号眼图及系统仿真误码率,基于互功率谱的时延估计,对HARQ系统的吞吐量分析,现代信号处理中谱估计在matlab中的使用,LCMV优化设计阵列处理信号,采用偏最小二乘法,研究生时的现代信号处理的作业。- Stepwise linear regression, The received signal is given eye and BER simulation systems, Based on the time delay estimation of power sp
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Compressed sensing (also known as compressive sensing, compressive sampling, or sparse sampling) is a signal processing technique for efficiently acquiring and reconstructing a signal, by finding solutions to underdetermined linear systems. This is b
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The aims to give the students the fundamentals of digital image processing,
covering topics from the following list: image models and physical imaging systems;
visual perception; rendering systems; linear filtering; linear transforms; mathematical
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卡尔曼滤波原理及应用—MATLAB仿真主要介绍数字信号处理中的卡尔曼(Kalman)滤波算法及在相关领域应用。全书共7章。第1章为绪论。第2章介绍MATLAB算法仿真的编程基础。第3章介绍线性Kalman滤波。第4章讨论扩展Kalman滤波,并介绍其在目标跟踪和制导领域的应用和算法仿真。第5章介绍UKF滤波算法,同时也给出其应用领域内的算法仿真实例。第6章介绍了交互多模型Kalman滤波算法。第7章介绍Simulink环境下,如何通过模块库和S函数构建Kalman滤波器,并给出了系统是线性和非线
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