A5071483745- Digital Filter Design and Implementation
- Advanced Adaptive Filtering Techniques
- Renal Transplantation Outcomes and Treatments
- Advanced Control Systems Design
- Image and Signal Denoising Methods
- Organ Transplantation Techniques and Outcomes
- Water-Energy-Food Nexus Studies
- Metaheuristic Optimization Algorithms Research
- Advanced Fiber Optic Sensors
- Cancer Genomics and Diagnostics
- Water resources management and optimization
- Organ Donation and Transplantation
- Biometric Identification and Security
- Face and Expression Recognition
- Analog and Mixed-Signal Circuit Design
- Blind Source Separation Techniques
- Environmental Impact and Sustainability
- Fractional Differential Equations Solutions
- Power Quality and Harmonics
- Abdominal vascular conditions and treatments
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Advanced Image Fusion Techniques
- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Integrated Circuits and Semiconductor Failure Analysis
PAX Scientific (United States)
2022-2023
University of Alberta
2018-2021
Indian Institute of Information Technology, Nagpur
2021
Indian Institute of Information Technology Design and Manufacturing Jabalpur
2015-2020
National Institute of Technology Raipur
2020
Narsee Monjee Institute of Management Studies
2011
Market Matters
2007
Qualcomm (United Kingdom)
2007
In this paper, a new design method for digital bandpass and bandstop infinite impulse response filters with nearly linear-phase is proposed. method, the phase of an all-pass filter optimized in frequency domain to yield less passband error Err stopband Er <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">9</sub> optimal attenuation A . To achieve high accuracy regions, fractional derivative (FD) constraints are evaluated respective coefficients...
Iris recognition has been a fast growing, challenging and interesting area in real-time applications. A large number of iris algorithms have developed for decades. The paper presents novel Walshlet Pyramid based technique. Here is done using the image feature set extracted from Walsh Wavelets at various levels decomposition. Analysis was performed proposed method, consisting False Acceptance Rate Genuine Rate. technique tested on an database having 384 images. results show that level-5...
In this paper, an efficient statistical approach employing a highly adaptive gamma correction based on adaptively clipped and locally equalized histogram using mean-median pair, is presented for the enhancement of low contrast dark images without losing their intrinsic features. For purpose, linearly stretched intensity range segmentation, first median mean distribution sub-histograms are derived local equalization after optimal clipping. Later on, non-linear transformational mapping has...
In this paper, a new design method based on fractional derivative (FD) is proposed for designing digital stable infinite impulse response (IIR) filters with nearly linear-phase response. method, the problem formulated as phase error optimization of an all-pass filter connected in parallel pure delay function. FD employed to improve frequency at some reference point (ω <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sub> ) passband. Optimal...
This paper presents a new efficient method for implementing the Hilbert transform using an all-pass filter, based on fractional derivatives (FDs) and swarm optimization. In proposed method, squared error difference between desired designed responses of filter is minimized. FDs are introduced to achieve higher accuracy at reference frequency ( ω0 ), which helps reduce overall phase error. this paper, two approaches used finding appropriate values frequencies. first approach, these estimated...
In this paper, a new design method for digital infinite impulse response (IIR) filters with nearly linear-phase is presented using fractional derivative constraints (FDCs). the proposed method, problem of an IIR filter constructed as minimization phase error between desired and designed allpass (APF) such that lowpass (LPF) or highpass (HPF) yields less passband (ep), stopband errors (es) optimal attenuation (As). order to have accurate (pb) response, FDCs are imposed on appropriate...
In this paper, a meta-heuristic algorithm known as artificial bee colony (ABC) is employed for the design of digital infinite impulse response (IIR) filter based on nonlinear minimization mean square error (MSE) between ideal and desired responses filter. method, stability IIR during assured by using lattice structure it makes easy to maintain with less computation cost. addition this, also helps in designing higher order better search capability. Performance justified comparing fidelity...
Gene expression profiling (GEP) from formalin-fixed paraffin-embedded (FFPE) renal allograft biopsies is a promising approach for feasibly providing molecular diagnosis of rejection. However, large-scale studies evaluating the performance models using NanoString platform data to define archetypes rejection are lacking. We tested diverse retrospective cohort over 1400 FFPE biopsy specimens, rescored according Banff 2019 criteria and representing ten 11 UNOS regions, Human Organ Transplant...
In this paper, a hybrid optimization for the design infinite impulse response (IIR) filter employing particle swarm (PSO) and artificial bee colony (ABC) algorithm is presented. The problem formulated as mean square error between desired ideal response. For stability of filter, lattice structure in utilized. A comparative study performance PSO its different variants also made which shows improved efficiency method field IIR design.
In this paper, an optimal design of digital infinite impulse response (IIR) with controlled ripple responses in passband (pb) and stopband (sb) is presented. An improved error function defined as mean squared (MSE) between ideal designed a filter along proposed minimized. It optimized using cuckoo search (CS) algorithm, which tuned by experimental analysis. The results obtained reveals that high attenuation (A <sub xmlns:mml="http://www.w3.org/1998/Math/MathML"...
In this paper, an improved technique for the design of digital infinite impulse response (IIR) filter with controlled ripple in passband and stopband is presented. A new error function based on minimization squared difference between desired designed responses (pb) (sb), proposed optimizing function, a hybrid optimization artificial bee colony (ABC) algorithm quantum particle swarm (QPSO) proposed. Stability guaranteed less complex structure utilized during iterative computation. comparative...
Freshwater is a critical natural resource and fundamental to social environmental activities, including industrial food production, residential needs. Hence, it important understand provincial water supply demand. However, there are large gaps in sectoral use data. This study provides estimates for disaggregated by regional subsectors uses Sankey diagrams depict the flow from intake consumption discharge. The bottom-up method oil gas hydropower sectors top-down methods residential,...
It becomes exceedingly difficult to keep an eye on every student's whereabouts in huge classes. Although biometric technologies, like fingerprint scanning, provide a means of managing attendance, they also present certain practical challenges. There are often long wait times for students as their turn undertake the process thereby exacerbating inefficiencies. An inventive method that makes use deep learning's capabilities-more especially, Convolutional Neural Networks (CNNs)-has been...
In this paper, modified cuckoo search (MCS) algorithm is employed for the efficient design of infinite impulse response (IIR) filter by minimizing a fitness function. The function constructed as mean squared error between ideal and obtained filter. addition to this, proposed method gives minimum number adders through canonical signed digit (CSD), hence makes hardware requirements cost effective. stability achieved incorporating lattice structure because it easy perform, when compared with...
Quiescent supply current (I <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">DDQ</sub> ) is a very effective test method for CMOS circuits. However, I vector verification and debugging may take considerable time effort; various problems have been encountered in this process, so different tools methodologies devised to address them. For pre-silicon verification, modular approach adopted. estimated each based on leakage libraries of cells, cell...
In this work, a new approach lean on minor component analysis (MCA) neural learning and fractional derivative (FD) is introduced for the design of digital finite impulse response (FIR) filters. method, problem modeled as summation integral error in passband stopband region term polyphase components (PCs) FIR filter frequency domain, which solved by an efficient machine algorithm called learning. For more accurate response, applied at reference point passband, resulted constraints (FDCs) are...