VLSI Design Of Advanced Digital Filters
The Cascaded Integrator Comb filters (CIC) find many applications in recent electronic devices such as frequency selection functions in a digital radio or modem and any filter structure that is required to efficiently process large sample rate factor. These filters are normally located after the sigma-delta modulator and have a regular structure. These types of filters do not require multipliers and the coefficient storage unlike in the normal digital FIR and IIR filters because of all filter coefficients are unity. Hence, it can be efficiently implemented to operate at high speed. Hence, this book describes the Very Large Scale Integration (VLSI) implementation of the CIC filters that are suitable for high-performance audio applications.
Code (0)
등록된 구현이 없습니다.
Tasks
UnitySimilar Papers 제목 키워드 기반
VLSI Systems for signal processing and Communications
The growing advances in VLSI technology and design tools have exponentially expanded the application domain of digital signal processing over the past 10 years. This survey emphasises on the architectural and performance…
SurveyA compact aVLSI conductance-based silicon neuron
We present an analogue Very Large Scale Integration (aVLSI) implementation that uses first-order lowpass filters to implement a conductance-based silicon neuron for high-speed neuromorphic systems. The aVLSI neuron consi…
Enhancing ML model accuracy for Digital VLSI circuits using diffusion models: A study on synthetic data generation
Generative AI has seen remarkable growth over the past few years, with diffusion models being state-of-the-art for image generation. This study investigates the use of diffusion models in generating artificial data gener…
Data AugmentationImage GenerationSynthetic Data GenerationQualitative Data Augmentation for Performance Prediction in VLSI circuits
Various studies have shown the advantages of using Machine Learning (ML) techniques for analog and digital IC design automation and optimization. Data scarcity is still an issue for electronic designs, while training hig…
Data AugmentationMapping Generative Models onto a Network of Digital Spiking Neurons
Stochastic neural networks such as Restricted Boltzmann Machines (RBMs) have been successfully used in applications ranging from speech recognition to image classification. Inference and learning in these algorithms use …
image-classificationImage ClassificationQuantizationspeech-recognition+1