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cic抽取滤波器ip核，用于射频采样数字下变频模块的核心数字信号处理部分.此ip核已经过ise10.2验证,CIC decimation by 4 filter，used in Direct RF sampling of GPS signal. the core dsp block in a frondend design
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3级CIC抽取,内插滤波，r为抽取因子，n为原始信号的采样点数，x为原始信号序列 y为抽取滤波后的输出序列-3 CIC decimation, interpolation filter, r for the extraction factor, n the sampling points for the original signal, x is the original signal sequence y to extract the filtered output sequence
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Decimation reduces the original sampling rate for a sequence to a lower rate, the opposite of interpolation. The decimation process filters the input data with a lowpass filter and then resamples the resulting smoothed signal at a lower rate.-Decimat
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Decimation is a technique for reducing the number of samples in a discrete-time signal.
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An Elementary Introduction to the Discrete Fourier Transform
1.1 ComplexNumbers
1.3 Analyzing the Series
1.5 Filtering a Signal
1.6 How Often Does One Sample?
1.7 Notes and References
1.2 Trigonometric Interpolation
1.4 Fourier Frequenc
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基于FPGA的数字下变频器（DDC）的设计,将采样得到的高速率信号变成低速率基带信号，以便进行下一步的信号处理。由NCO、数字混频器、低通滤波器和抽取滤波器四个模块组成。采用自编的加法树乘法器，提高乘法运算效率。-Design based on FPGA digital downconverter (DDC), the high-speed signal will be sampled baseband signal into a low rate for the next step in th
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数字信号处理中的离散傅里叶变换用快速傅里叶变换算法实现（为按时间抽取FFT算法实现的程序；考虑到补零情况，进行信号频谱分析过程中可能出现的问题，例如混淆、泄漏、栅栏效应等）-Program of digital signal processing in the discrete Fourier transform using a fast Fourier transform algorithm (as achieved by the decimation-in-time FFT algorith
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数字采样及数字下变频技术是研究软件无线电接收机的重要内容之一。其中针对多种速率信号的采样，对
可变的信号符号率与固定的系统采样率进行实时匹配问题，是研究多速率信号数字化所遇到的难点问题之一。文中通过抽
取和内插技术的组合解决了这一问题。并在此基础上着重研究了高速抽取和内插的多项滤波结构，为数据率的快速匹配奠
定了基础。-Digital sampling and digital downconversion technology is an important part of rese
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对语音信号进行采样率的转换，如整数倍的内插和抽取，还可以进行非整数倍的采样率转换。-The sampling rate of the voice signal conversion, such as interpolation and decimation integer multiple of, can also be a non-integer multiple of the sampling rate conversion.
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The Fast Fourier Transform (FFT) is one of the
rudimentary operations in field of digital signal and image
processing. Some of the very vital applications of the fast
fourier transform include Signal analysis, Sound filtering, Data
compressio
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