FIR低通滤波去噪平滑算法研究+文献综述
从频域的角度来看，γ能谱的统计涨落，即噪声在频域的分布是从-∞~+∞的整个频域范围，而有用的信号都主要分布在频域内低频部分，因此数字滤波器通常使用低通滤波器，使得低频有用信号得以极大的保留，高频噪声得到抑制。 对于不同的低通滤波器构造方法，文献中提出了许多不同的平滑算法。从时域角度出发，有最小二乘法；从频域角度出发，有 FIR 低通滤波法。针对便携式谱仪要求运算简单的特点，本文主要采用C#实现FIR低通滤波去噪平滑。19866
关键词： 便携式γ谱仪；C#；FIR低通滤波器；去噪平滑
Smoothing Algorithm FIR low-pass filter de-noising
Abstract: In modern communication systems , the signal is often mixed with a variety of complex elements, which are signal analysis performed by the filter . Use γ spectrometer spectrum acquisition and nuclide identification in nuclear monitoring is a widely used core technologies , radionuclide identification algorithm and portable digital γ spectrum acquisition technology is an important part of the core and the digital spectrometer system , Therefore, the unwanted signal by which the low -pass FIR filter to effect removal of noise in the signal to noise ratio . The digital filter is realized by numerical filtering operation , with high processing accuracy , flexibility , stability, and there is no impedance matching , special filtering can not be achieved in analog filters .
From the perspective of the frequency domain view , γ spectrum of statistical fluctuation , namely the distribution of noise in the frequency domain is from - ∞ ~ + ∞ entire frequency domain , and useful signals are mainly distributed in the low-frequency portion of the frequency domain , and therefore digital filters are typically low-pass filter , so that the frequency of the useful signal can be greatly retained , high frequency noise is suppressed. Different methods for the low -pass filter structure , proposed in the literature many different smoothing algorithms. From the time domain perspective, there is least squares method ; starting from the frequency domain point of view, there FIR low-pass filtering . Puyi requirements for portable computing simple , this paper mainly uses the C # implementation of FIR low-pass filtering noise smoothing .
Keywords: Portable γ spectrometer; C #; FIR low-pass filter; denoising smoothing
目录
摘要 iii
Abstract iv
目录 v
1 绪论 1
1.1 便携式Γ能谱分析的目的、意义 1
1.2 便携式数字化谱仪的研究现状 1
1.3 论文主要研究内容 4
1.3.1 便携式数字γ能谱仪结构与系统 4
1.3.2 不同低通滤波器的设计方法 4
1.3.3 用C#实现FIR低通滤波去噪平滑算法 4
2 数字γ能谱仪结构与系统 6
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