Analysis of Booth Multiplier based Conventional and Short Word Length FIR Filter

Pathan, Ashfaque Ahmed; Balal, Raheela; Memon, Tayab Din; Memon, Sheeraz

doi:10.22581/muet1982.1803.13

Cited by 7 publications

(6 citation statements)

References 14 publications

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“…Various SDM-based DSP applications for word length reduction and hence reducing the overall system complexity are reflected in the literature that includes but is not limited to simple arithmetic units [9][10][11], FIR filters (fully or partially transformed to single-bit) [12][13][14][15][16][17][18][19], IIR filters [20][21][22], and some complex adaptive filter structures [23][24][25][26]. Other recent examples of SDM-based short word length systems include adaptive channel equalizers using a µ-less approach [27], Weiner filters [28], Matched filters [29], digital arithmetic units [30], smart sensor communications [31], correlation-less filters [32,33] and latest SDM-Based Image Processing [34].…”

Section: Introductionmentioning

confidence: 99%

A novel approach toward optimized image processing using sigma delta modulation

Pathan,

Memon,

Aziz

et al. 2024

Mehran Univ. res. j. eng. technol.

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Image processing has widespread uses practically in every branch of science and arts. Processing images is more difficult than processing sound or data as there are more bits in the high pixel quality image. It requires more space to store the image, more bandwidth to transmit it, and more time and resources to process. An image's complexity may decrease if its bit size is decreased. Sigma-delta modulation, or SDM for short, is an alternative method of minimizing data-word length to compression. Digital signal processing (DSP) systems can be made simpler by using the SDM approach, which was first created for analog to digital conversion (ADC). This paper suggests a novel way to use SDM in MATLAB for improved image processing. Consequently, the suggested single-bit SDM-based image arithmetic architecture is tested and compared with the traditional image arithmetic techniques. Additionally, to see the noisy channel influence on the traditional and proposed systems, some statistical metrics are also studied at different noise variance values, such as signal to noise ratio (SNR), mean square error (MSE), and Peak SNR value. The suggested architecture for the SDM-based image arithmetic precisely matches the addition and subtraction results of the conventional design, even yielding a higher SNR and the same Peak SNR as the traditional methods. In contrast, the outcomes of division and multiplication fall within an acceptable range. For better results the over-sampling ratio (OSR), an inherent characteristic of SDM must be increased at the cost of more processing cycles. Therefore, the trade-off between fewer resources, limited transmission bandwidth, and comparatively more cycles is provided by the SDM-based technique.

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Section: Introductionmentioning

confidence: 99%

A novel approach toward optimized image processing using sigma delta modulation

Pathan,

Memon,

Aziz

et al. 2024

Mehran Univ. res. j. eng. technol.

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“…Several earlier works have developed various controller designs. These developments are not limited to the use of classic methods, such as proportional-integral-derivative (PID) controllers [16] [17] [18], but also fuzzy logic control (FLC) [19], and model predictive controller (MPC) [20] [21]. Nevertheless, PID controller is still the most employed of several controller designs due to its convenience [22].…”

Section: Introductionmentioning

confidence: 99%

“…The results prove that GA-based PID was smoother and more dependable than NN-based PID. Unlike in [16], ACC controller design uses Ziegler-Nichols's method to gain the optimum parameter. In [17], an improved PID controller was used to improve driving stability and comfort.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Cruise Control tuned by Genetic Algorithm for Safe Distance of Automated Vehicle

Prastiyanto,

Apriaskar,

Ibrahim

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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The importance of safety in transportation has forced developments in automated vehicles. Many control methods have been introduced to ensure safe distance between automated vehicle and another car. This article presents an adaptive cruise control whose parameters are tuned by genetic algorithm for the case study of safe distance in automated vehicle. Two genetic algorithms with two different objective functions, i.e., integral square error (ISE) and integral absolute error (IAE), were evaluated. The results show that genetic algorithms could work well using both functions indicated by the obtained best fitness values through generations. The optimal controller parameter obtained by them also seems to be similar each other, including the distance, velocity and acceleration response of the automated vehicle. It is only the standard deviation that differs them. After 20 running tests, IAE produced 0.0288, 0.0439, and 0.0134 in standard deviation for verr_gain, xerr_gain, vx_gain, respectively, while ISE got 0.0169, 0.0755, and 0.0101. From the total values of standard deviation, we can conclude that GA with IAE performs slightly better since it has smaller value indicating that it has better repeatability.

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“…Reprogrammable hardware attracted a growing interest of researchers for the obtainment of enormous gain in speed and saving of energy besides its capability to be reprogrammed to desired application or functionality requirements after deployment [13][14][15][16]. The ease of providing parallel processing environment makes FPGA a high performance computing hardware for real-time processing of multichannel (multi-input, multi-output) systems [17], [18].…”

Section: Introductionmentioning

confidence: 99%

FPGA Implementation of RLSE Algorithm for Multichannel Brain Imaging

Nazir

Khan

Akram

et al. 2021

Mehran Univ. res. j. eng. technol.

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This paper describes the implementation of a computationally efficient embedded system on an Field Programmable Gate Array (FPGA) platform for real-time brain activity estimation with multiple channels. The brain signals from multiple channels are considered as output of independent linear systems with unknown parameters representing the brain activity in corresponding channels. Multiple adaptive Recursive Least-Squares Estimation (RLSE) cores are implemented in FPGA to independently estimate the brain activity in each channel concurrently. The proposed RLSE-FPGA system provides dedicated (no time or resource sharing) and parallel processing environment. The universal asynchronous receiver transmitter core is also developed to communicate the measured and estimated parameters supported by storage facility programmed as shared memory. The computational precision is guaranteed by deploying a 32-bit floating point core for all the variables. The validation carried out by real Functional Near-Infrared Spectroscopy dataset and comparative analysis with the previously reported result, demonstrates the effectiveness of the proposed system. The computational cost endorses the effectiveness of concurrent processing of multiple channelsꞌ data in a sample before the arrival of the next sample. The proposed methodology has potential in real-time medical, military and industrial applications.

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Analysis of Booth Multiplier based Conventional and Short Word Length FIR Filter

Cited by 7 publications

References 14 publications

A novel approach toward optimized image processing using sigma delta modulation

A novel approach toward optimized image processing using sigma delta modulation

Adaptive Cruise Control tuned by Genetic Algorithm for Safe Distance of Automated Vehicle

FPGA Implementation of RLSE Algorithm for Multichannel Brain Imaging

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