scholarly journals Quantized Fir Filter Design: A Collaborative Project For Digital Signal Processing And Digital Design Courses

2020 ◽  
Author(s):  
Kishore Kotteri ◽  
Joan Carletta ◽  
Amy Bell
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Filter Design ◽  
Digital Signal ◽  
Fir Filter ◽  
Digital Design ◽  
Collaborative Project ◽  
Fir Filter Design

scholarly journals FPGA Implementation of Proficient 16-Tap FIR Filter Design Using Decision Tree Algorithm

2021 ◽  
Vol 12 (5) ◽  
pp. 170-180
Author(s):  
A Murali, K Hari Kishore
Keyword(s):  
Signal Processing ◽  
Filter Design ◽  
Finite Impulse Response ◽  
Digital Signal ◽  
Channel Structure ◽  
Decision Tree Algorithm ◽  
Variable Size ◽  
Structure Channel ◽  
Fir Filter Design ◽  
Dsp Applications

Lately, channel is one of the key components in signal handling applications. Among different channels, Finite Impulse Response (FIR) channel is broadly utilized in Digital Signal Processing (DSP) applications for shifting/denoising. For enormous scope coordination (VLSI) execution of fixed-coefficient FIR channels, huge asset used customary multipliers that can be acknowledged by a solitary steady multiplication (SCM) and numerous consistent augmentations (MCM) square utilizing movement and include/take away tasks. For a proficient execution, a variable size apportioning approach is proposed in direct structure channel structure that devours less zone and 11% of decrease in basic way delay, 40% decrease of all out force utilization, 15% decrease of zone delay product(ADP), 52% decrease of vitality delay product(EDP), and 42% decrease of intensity territory product(PAP), on a normal, over the cutting edge techniques. In this paper, a state choice tree calculation is proposed to decrease unpredictability in channel tap cells of variable size apportioning approach. The proposed plot creates a choice tree to perform move and expansion/deduction and aggregation dependent on the consolidated SCM/MCM approach. This plan diminishes the quantity of postpone registers required for tab cells. The proposed snake design will be actualized in Xilinx Zed, Spartan and Virtex devices and Area, power and speed investigation will be performed.

Approximate Compressor-Based Multiplier Design Methodology for Error-Resilient Digital Signal Processing

2020 ◽  
Vol 29 (14) ◽  
pp. 2050233
Author(s):  
Zhixi Yang ◽  
Xianbin Li ◽  
Jun Yang
Keyword(s):  
Image Processing ◽  
Signal Processing ◽  
Digital Signal Processing ◽  
Resource Utilization ◽  
Finite Impulse Response ◽  
Digital Signal ◽  
Fir Filter ◽  
Electrical Performance ◽  
Approximate Computing ◽  
Dsp Applications

As many digital signal processing (DSP) applications such as digital filtering are inherently error-tolerant, approximate computing has attracted significant attention. A multiplier is the fundamental component for DSP applications and takes up the most part of the resource utilization, namely power and area. A multiplier consists of partial product arrays (PPAs) and compressors are often used to reduce partial products (PPs) to generate the final product. Approximate computing has been studied as an innovative paradigm for reducing resource utilization for the DSP systems. In this paper, a 4:2 approximate compressor-based multiplier is studied. Approximate 4:2 compressors are designed with a practical design criterion, and an approximate multiplier that uses both truncation and the proposed compressors for PP reduction is subsequently designed. Different levels of truncation and approximate compression combination are studied for accuracy and electrical performance. A practical selection algorithm is then leveraged to identify the optimal combinations for multiplier designs with better performance in terms of both accuracy and electrical performance measurements. Two real case studies are performed, i.e., image processing and a finite impulse response (FIR) filter. The design proposed in this paper has achieved up to 16.96% and 20.81% savings on power and area with an average signal-to-noise ratio (SNR) larger than 25[Formula: see text]dB for image processing; similarly, with a decrease of 0.3[Formula: see text]dB in the output SNR, 12.22% and 30.05% savings on power and area have been achieved for an FIR filter compared to conventional multiplier designs.

Research and Application of a FPGA-Based Dynamic Distributed Algorithm

2011 ◽  
Vol 58-60 ◽  
pp. 1696-1700
Author(s):  
Wei Zheng Ren ◽  
Ying Gao ◽  
Yan Song Cui
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Processing Speed ◽  
Distributed Algorithm ◽  
Digital Signal ◽  
Fir Filter ◽  
Effective Solution ◽  
Data Bus

A dynamic distributed algorithm (DDA) with a look-up dynamic table instead of ROM was put forward based on the theory of signed distributed algorithm, in order to improve processing speed and flexibility of product sum on FPGA. Since the DDA occupies few hardware resources, performs fast operation and realizes programmable coefficient, the limitation of digital signal processing speed on fixed data bus width and sequential operation was avoided by using the algorithm. At the same time, an effective solution to realizing coefficient programmable FIR filter was presented.

FIR Digital Filter Design Based on Virtual Instrument

2013 ◽  
Vol 684 ◽  
pp. 653-656
Author(s):  
Yu Jian Du ◽  
Zu Bin Chen ◽  
Teng Yu ◽  
Yang Yang
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Virtual Instrument ◽  
Digital Filters ◽  
Filter Design ◽  
Digital Signal ◽  
Seismic Signal ◽  
Digital Filter Design ◽  
Digital World ◽  
Fir Digital Filters

With the information era and the advent of the digital world, digital signal processing has become extremely important in today's one of the disciplines and technical fields.Digital signal processing in seismic signal ,communications, voice, image, automatic control radar, and other fields has been widely used.In this paper,I design several kind of FIR digital filters based on virtual instrument to solve the problem that signal noise reduction.

scholarly journals FIR Filter Design using Finfets at 22nm Technology

2019 ◽  
Vol 9 (2) ◽  
pp. 1292-1295
Keyword(s):  
Video Processing ◽  
Filter Design ◽  
Finite Impulse Response ◽  
Digital Signal ◽  
Fir Filter ◽  
Fir Filters ◽  
Short Channel ◽  
Channel Effects ◽  
Complex Circuits ◽  
Fir Filter Design

Finite Impulse Response (FIR) filters are the most significantdevice in digital signal processing.In many Digital Signal Processing applications like wireless communication, image and video processing FIR filters are used.Digital FIR filters primarily consists of multipliers, adders and delay elements. Area, power optimization and speed are the key design metrics of FiniteImpulse Response filter.As more electronic devices are battery operated, power consumption constraint becomes a major issue. Multipliers are the core of FIR filters. They consume a lot of energy and are generally complex circuits. With each new process technologies, the short channel effects limit the performance of FIR filters at nano regime. Various architectures have been proposed to enhance the performance of FIR filter. In this paper, FIR filter is designed using FINFETs at 22nm technology using Hspice software.

scholarly journals Proposing a new variable window for better side lobe reduction

2019 ◽  
Vol 8 (9) ◽  
pp. 1107-1112
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Power Loss ◽  
Finite Impulse Response ◽  
Variable Parameter ◽  
Digital Signal ◽  
Side Lobe ◽  
Fir Filter ◽  
Side Lobe Level ◽  
Kaiser Window

Digital signal processing is most widely used to process the signal. In digital signal processing filters are used to remove some unwanted constituents from aspired signal. Windowing is a scheme of finite impulse response filters. Present paper proposes a new versatile window function. It has two variable parameters first one is window span N and another changeable parameter is r. when the value of variable parameter r increases width of major lobe of window also increases with better side lobe reduction and vice versa. Gaussian window and Kaiser window are the well-known variable windows. This paper shows that the proposed window has more desirable results in comparison of Gaussian and Kaiser window with low power loss and better side lobe reduction. To achieve minimum power loss peak side lobe level should have to minimum. Proposed window has low peak side lobe level (-17.681dB) in comparison of Gaussian (-11.836dB) and Kaiser window (-6.9704dB). Proposed work shows that the proposed window has finer spectral characteristic then Gaussian and Kaiser window. FIR filter formed by applying proposed window has narrow -3dB bandwidth (2π×0.320 rad/sample) corresponding to FIR filter formed by using Gaussian and Kaiser window. Ripple ratio of FIR filter plotted by applying proposed window (-144.321dB) is less corresponding to FIR filter delineated by using Gaussian and Kaiser which indicates that the proposed window will give better side lobe rejection and reduce the aliasing problem. In the biomedical field noise present in ECG signal can also reduce by using proposed window.

scholarly journals Comprehensive Optimal Fir Filter Design Procedures With Various Impacts

2019 ◽  
Vol 8 (3) ◽  
pp. 1562-1566
Keyword(s):  
Signal Processing ◽  
Impulse Response ◽  
Adaptive Filters ◽  
Filter Design ◽  
Finite Impulse Response ◽  
Digital Signal ◽  
Infinite Impulse Response ◽  
Processing Unit ◽  
Filter Noise ◽  
Fir Filter Design

Digital-signal-processing (DSP) is one of the recent emerging techniques contain more filtering operations. It may an image type or audio/ video signal processing. Each processing unit has filtering sections to filter noise elements. Hence, there is a need for efficient and secure algorithmic scheme. Here, a exhaustive scrutiny use of complex optimization algorithms towards the digital-filter construction is conferred. In appropriate, the scrutiny target on the identification of various suggestions and limitations in FIR system design. For exact representations, the infinite impulse response adaptive filters and finite impulse response models are considered for estimation. It is designed to review a various swarm and evolutionary computing structures employed for filter design schemes. Some popular computing algorithms are noticed to recover characteristics of percolate design approach. Further, compared with recent research for identifying the updating features in optimization schemes. Finally, this review suggested that the swarm intelligence based researchers improved the constraints and its attributes.

scholarly journals FIR Filter Design using Floating Point Column Bypassing Technique

2019 ◽  
Vol 8 (2S4) ◽  
pp. 409-413 ◽  
Keyword(s):  
Signal Processing ◽  
Power Consumption ◽  
Truncation Error ◽  
Filter Design ◽  
Fir Filter ◽  
Floating Point ◽  
Switching Activity ◽  
Software And Hardware ◽  
Fir Filter Design ◽  
Dsp Applications

This paper presents the design of floating point fixed-width multiplier using column bypassing technique for signal processing applications. The designed fixed-width multiplier provides less power consumption due to the reduction of switching activity in the operands of the partial products. This is the key element of the Multiply-accumulate (MAC) unit for enhancing its performance. The proposed MAC can be implemented in a FIR filter for DSP applications. To improve the accuracy of the FIR filter, various rounding methods have been used to solve the truncation error in the product. The power consumption is 10% lesser than conventional fixed-width multiplier and the accuracy also have been improved. The output response of the proposed filter will be simulated in the virtual software and hardware environment with the MATLAB software.

Half-Band Filter Design Based on MATLAB and FPGA

2011 ◽  
Vol 130-134 ◽  
pp. 2027-2030
Author(s):  
Jun Wu ◽  
Chao Fan Zhang
Keyword(s):  
Signal Processing ◽  
Simple Structure ◽  
Filter Design ◽  
Digital Signal ◽  
Fir Filter ◽  
Linear Phase ◽  
Excellent Performance ◽  
Rate System ◽  
Simulation Process ◽  
Band Filter

Half-band filter is a linear phase FIR filter, which is symmetric-even and odd .Because the coefficient of half-band filter is symmetrical and nearly half of the coefficient are zero, it make the filters reduce the number of multiplication operations by almost 3 / 4, and the number of addition operations by nearly half . The memory used to store filter coefficients are also reduced by half, so it make the implementation of efficient real-time digital signal processing more conducive. The half-band filter has many characteristics: for instance, simple structure, easy to implement and excellent performance, it is widely used in multi-rate system. This paper first describes the principle of half-band FIR filter, the character and method for implementation, then puts forward the design and simulation process which is based on MATLAB and Xilinx's half-band filter, and at last analyses the result.

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