Ultra-Low Energy Consumed GDI Based Hamming Code High Speed Signal Processing Communication System for IOT Application

In signal processing, the concepts of encoding and decoding play pivotal roles in various applications, ranging from telecommunications to data compression. Encoders and decoders are fundamental components that allow for the effective transfer, storage, and manipulation of data. This abstract provides a concise overview of encoders and decoders in the context of signal processing. In digital signal processing, encoders and decoders are used to process and analyse signals. Encoders quantize and compress signals, while decoders dequantize and decompress signals. This study builds a circuit based on the Gate Diffusion Input (GDI) logic, a Hamming code encoder and decoder Hamming code encoder and decoder that makes use of Gate Diffusion Input (GDI) logic. GDI logic is a state-of-the-art technique to create low-power VLSI circuits. In contrast to alternative logic approaches inside the written works, this approach minimizes the complexity of the circuit while providing an excellent exchange of power, latency, and region. Using the GDI method, circuit architectures for hamming code encoders and decoders are constructed and simulated i.e., from the sentence “The simulation findings indicate that GDI exhibits a nearly 50% lower power consumption than CMOS.” It is also shown to provide a significant improvement in latency and a decrease in the number of transistors required to perform any function when compared to CMOS. The figure of merit is analyzed in terms of delay parameter to measure the performance of analysis of encoder and decoder. Furthermore, the GDI methodology is examined through the simulation of CMOS and GDI based hamming encoder and decoder logic circuits. The results of the simulation unequivocally demonstrate that a VLSI circuit designer would be better off with their low power design principle being GDI logic.