Design and Realization of FIR Band-Pass Digital Filter Based on MATLAB

2012 ◽  
Vol 503-504 ◽  
pp. 228-231 ◽  
Author(s):  
Shan Ren ◽  
Xin Zhao ◽  
Jie Jiang ◽  
Dong Jin Zhao
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Filter ◽  
Digital Signal ◽  
Window Function ◽  
Measured Signal ◽  
Time Interval ◽  
Band Pass Filter ◽  
Pass Filter ◽  
Band Pass

Digital filter is one of the most important parts of digital signal processing. In practice, digital signal processing often need to limit the signal observation time interval within a certain time, choose only one period of signal that signal data will be truncated, this process is equivalent to plus window function operation to signal. In order to obtain finite unit sample response, need to truncate the infinite unit sample response sequence by window function. This paper proposes the method of using window function to design FIR Band-pass filter based on MATLAB, according to the design basic principle of FIR digital filter. Filtering processing for measured signal showed that filtering effect of the filter achieved the expected results.

Design and Realization of FIR Digital Filter Based on MATLAB

2012 ◽  
Vol 490-495 ◽  
pp. 1867-1870 ◽  
Author(s):  
Shan Ren ◽  
Xin Zhao ◽  
Wen Bin Zhang
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Basic Principle ◽  
Digital Filter ◽  
Digital Signal ◽  
Fir Filter ◽  
Window Function ◽  
Measured Signal ◽  
Fir Digital Filter ◽  
Filtering Effect

Digital filter is one of the most important parts of digital signal processing. This paper proposes the method of using window function to design FIR filter based on MATLAB, according to the design basic principle of FIR digital filter. Filtering processing for measured signal showed that filtering effect of the filter achieved the expected results.

A MATLAB-based biomedical signal de-noising applied to digital signal processing course for third-year students

2018 ◽  
Vol 56 (1) ◽  
pp. 51-61 ◽  
Author(s):  
Guo Luo
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Filter ◽  
Digital Signal ◽  
Band Pass Filter ◽  
Analog Filter ◽  
Bilinear Transformation ◽  
Pass Filter ◽  
Educational Method ◽  
Low Pass Filter

Signal de-noising is one of the major topics of engineering application covered in an undergraduate-level digital signal processing course. Generally speaking, it involves a number of tedious concepts that have intrinsic physical meaning, which is difficult for students to understand . In this paper, an educational method using diaphragmatic electromyographic (EMGdi) as the de-noising object, which runs on the MATLAB software, has been developed for the convenience of learning and understanding for three-years students in digital signal processing course. This method transforms the analog filter to a digital filter by applying bilinear transformation equations, which allows the students explore the various characteristics of digital filter, such as low pass filter, high pass filter, band pass filter and band stop filter. That means Laplace equation transformed by inductance, capacitance and resistance will be replaced by the z equation, which is used for deriving sequence of difference equations. In the case studies, the clinical EMGdi is used to show the features of the developed method. Furthermore, classroom experience in the Nanfang College of Sun Yat-sen University has shown that the developed method helps in consolidating a better understanding of signal de-noising processing in digital signal processing course.

scholarly journals A Method of Increasing Digital Filter Performance Based on Truncated Multiply-Accumulate Units

2020 ◽  
Vol 10 (24) ◽  
pp. 9052
Author(s):  
Pavel Lyakhov ◽  
Maria Valueva ◽  
Georgii Valuev ◽  
Nikolai Nagornov
Keyword(s):  
Signal Processing ◽  
Theoretical Analysis ◽  
Digital Signal Processing ◽  
Digital Filter ◽  
Digital Filters ◽  
Digital Signal ◽  
Digital Filtering ◽  
Filter Performance ◽  
Filter Architecture ◽  
Hardware Costs

This paper proposes new digital filter architecture based on a modified multiply-accumulate (MAC) unit architecture called truncated MAC (TMAC), with the aim of increasing the performance of digital filtering. This paper provides a theoretical analysis of the proposed TMAC units and their hardware simulation. Theoretical analysis demonstrated that replacing conventional MAC units with modified TMAC units, as the basis for the implementation of digital filters, can theoretically reduce the filtering time by 29.86%. Hardware simulation showed that TMAC units increased the performance of digital filters by up to 10.89% compared to digital filters using conventional MAC units, but were associated with increased hardware costs. The results of this research can be used in the theory of digital signal processing to solve practical problems such as noise reduction, amplification and suppression of the frequency spectrum, interpolation, decimation, equalization and many others.

scholarly journals A DSP Technique for Prediction of Cancer Cell

2019 ◽  
Vol 8 (10) ◽  
pp. 1205-1209
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Cancer Cells ◽  
Dna Sequence ◽  
Digital Signal ◽  
Human Beings ◽  
Normal Cells ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Public Data

At present cancer is an alarmed disease. According to medical research, central cause of cancer is due to the genetic abnormality. Most cancers are generated due to permanent change in the deoxyribonucleic acid (DNA). For the past two decades, genomic signal processing (GSP) is a vital area of research. It has engrossed the consideration of digital signal processing (DSP) researchers for the massive amount of data accessible in the public data base. By finding out the DNA sequence for cancer cells & normal cells of human beings & applying some digital signal processing (DSP) approaches on both, difference between them can be found. Previously, discrete Fourier transform (DFT) power spectrum was used to predict cancer cells of a DNA sequence. In this paper, discrete cosine transform (DCT) and discrete sine transform (DST) approaches are presented as an alternative to analyze the spectral characteristics of cancer cells and normal cells. Further, post-processing is done using digital IIR low pass filter to improve the discrepancy between cancer and normal cells. The proposed method is tested for a number of data sets available in Gene Bank.

New Methodology for Smoothing Freeway Loop Detector Data: Introduction to Digital Filtering

1996 ◽  
Vol 1554 (1) ◽  
pp. 142-152 ◽  
Author(s):  
Benjamin A. Coifman
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Filter ◽  
Filter Design ◽  
Digital Signal ◽  
Data Set ◽  
Digital Filter Design ◽  
Loop Detector ◽  
Smoothing Process ◽  
Time Averages

A new methodology has been developed for smoothing loop detector data based on digital signal processing. After introducing basic signal processing theory, existing smoothing techniques like fixed-time averages, cumulative sums, and moving-time averages—all subsets of the larger digital signal processing methodology—are described. Nontraditional smoothing techniques based on custom digital filter design are then presented, specifically, low-pass filters that “pass” slowly changing features of the detector data unchanged while attenuating rapidly changing features. Custom digital filter design gives more control over the smoothing process than do traditional smoothing methods. In particular, the amount of amplification or attenuation at a given frequency (e.g., rapidly or slowly changing features) can be set. Whether a custom filter or a traditional smoothing process is used, an understanding of the frequency response can increase the usefulness of the resulting data by clarifying the limitations of the given smoothing process. To illustrate this, several smoothing processes are presented and contrasted using the same data set. The use of a custom digital filter is demonstrated in three practical applications: an examination of the bivariate flow-occupancy relationship and use of the filtering process to eliminate unstable disturbances from the data set, speed estimation from a single detector under congested conditions, and temporal issues relating to shock wave and fluctuation propagation specifically.

scholarly journals Detect the live after eartquake with CW radar

2009 ◽  
Author(s):  
Seyed Javad Javadi Moghaddam
Keyword(s):  
Wavelet Transform ◽  
Digital Signal ◽  
Radar System ◽  
Analog Signal ◽  
Pass Band ◽  
Band Pass Filter ◽  
Pass Filter ◽  
Portable System ◽  
Band Pass ◽  
Cw Radar

In this paper, new algorithm for Detecting the Live after Earthquake is presented. Here the application of the CW Radar with frequency 2.45GHz in a portable system for detecting the live below a mass of concrete or trash is introduced. The characters of radar hardware are shown too. The software which is used for computer process is LabVIEW, that some part of it is presented. Output of the Radar system which is analog convert to digital signal and enters into PC then for using of continues filtering by a section of the program digital signal is converted to an analog signal again. Now a software band-pass filter with variable pass band is applied, which change the quantity of the system. For the mathematic analyze a special wavelet transform (in-place kind) is applied that its algorithm and its mathematic debate are existed.

scholarly journals Design and Analysis of Digital IIR, Fir Bandpass Filter using DSK6713 Kit

2020 ◽  
Vol 9 (3) ◽  
pp. 371-375
Keyword(s):  
Digital Filter ◽  
Bandpass Filter ◽  
Fir Filter ◽  
Analog Filters ◽  
Band Pass Filter ◽  
Analog Filter ◽  
Detailed Design ◽  
Pass Filter ◽  
C Language ◽  
Band Pass

A digital filter is advantageous over analog filter. Some of its advantages are less complexity, flexibility, portability when compared with analog filters. In this paper, the design of digital IIR and FIR band pass filter is done using DSK6713 hardware kit, the software used is code composer studio 6.0.1. This code composer studio 6.0.1 is used to write the code in c language, which is then dumped on to DSK6713 kit, fda tool of matlab is used for designing coefficients for IIR and FIR filter. Further, the detailed design steps are illustrated in this paper.

scholarly journals Design of IIR digital filters with critical monotonic passband amplitude characteristic: A case study

2016 ◽  
Vol 29 (2) ◽  
pp. 269-283 ◽  
Author(s):  
Dejan Mirkovic ◽  
Miona Andrejevic-Stosovic ◽  
Predrag Petkovic ◽  
Vanco Litovski
Keyword(s):  
Digital Filter ◽  
Digital Filters ◽  
Amplitude Characteristic ◽  
Pass Band ◽  
Band Pass Filter ◽  
Filter Function ◽  
Pass Filter ◽  
Band Pass ◽  
Iir Digital Filters

A case study is reported related to the design of IIR digital filters exhibiting critical monotonic amplitude characteristic (CMAC) in the pass band. This kind of amplitude characteristic offers several advantages as compared to its non-monotonic counterparts, although it has not been studied thoroughly so far, if at all. After giving a short overview of the way of CMACs generation, arguments will be listed in favor of the IIR version of the digital filter function realization. Next, the IIR implementation of the digital filters will be considered in short. The main part of the paper will be devoted to the design sequence of this kind of filters which will be illustrated on the example of a band-pass filter obtained by a set of transformations from an all-pole low-pass analogue prototype. This will be the first time a CMAC band-pass IIR digital filter is reported.

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