The paper aims at respective study in the design and realization of the Finite Impulse Response digital filter.
本文就对有限冲激响应数字滤波器的设计及实现来进行分析和研究。
Finite impulse response (FIR) digital filters are widely used as common components in many digital signal processing (DSP) systems.
有限脉冲响应滤波器作为普通器件在许多数字信号处理系统中广泛使用。
The resulting controller is a finite impulse response (FIR) filter and hence problem of non-minimum phase zero cancellation is avoided.
这种控制器给出了避免非最小相位过程零极点对消的有限脉冲响应滤波器。
Digital filter can be divided as the finite Impulse Response digital filter (FIR) and the Infinite Impulse Response digital filter (IIR).
数字滤波器可以分为两种，即有限冲激响应数字滤波器(FIR)和无限冲激响应数字滤波器(IIR)。
The output of the modulator is processed by three cascaded finite impulse response (FIR) filters, followed by a user-programmable post processor.
调制器输出由三个级联的有限脉冲响应（FIR）滤波器及后置的一个用户可编程后处理器处理。
This invention discloses a Delta-Sigma Digital to Analog Converter (DAC), comprising a Delta-Sigma modulator and a Finite Impulse Response (FIR) filter.
本发明揭露一种三角积分数模转换器，其包含三角积分调制器以及有限脉 冲响应滤波器。
The energy resolution of digital spectroscopy can be improved by finite impulse response (FIR) filters optimized for the presence of any kind of stationary noise.
为提高数字谱仪的能量分辨率，利用约束最优化方法提出了一个在任意平稳噪声背景下直接设计最佳数字有限冲击响应（FIR）滤波器的方法。
The two-step method of beamforming in the time domain is divided between beam optimization weight design and finite impulse response (FIR) filter coefficients design.
时域波束形成的分步设计法分为波束优化的权值设计和FIR滤波器的系数设计两个步骤。
This paper introduces the design that finite impulse response filter is simulated by MATLAB to simplify the complicated computation in simulation and to improve the performance of filter.
本文着重介绍采用MATLAB软件对有限冲激响应滤波器进行仿真设计，从而简化了设计中繁杂的计算，并提高了滤波器的滤波性能。
In this paper, a dynamic calibration method using a finite duration impulse excitation source is presented, which can be used to calibrate the frequency response of high-pressure transducers (HPT).
本文提出了用任意时限脉冲作激励源的一种动态校准方法，用于校准动压传感器的频响特性。
The algorithm analyzes the system in the frequency domain, then simplifies the finite-impulse-response channel estimate into several memoryless systems.
该算法从频域角度出发，从而将有限冲击响应信道的识别简化为一系列的无记忆系统识别问题。
The algorithm analyzes the system in the frequency domain, then simplifies the finite-impulse-response channel estimate into several memoryless systems.
该算法从频域角度出发，从而将有限冲击响应信道的识别简化为一系列的无记忆系统识别问题。
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