Image Transmission via QPSK and AWGN Channel Coding

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Resource Overview

This method compresses images using 2D-DCT, transmits them through QPSK modulation and AWGN channel coding, then reconstructs the original images via IDCT decompression - applicable to any image format with configurable compression and transmission parameters.

Detailed Documentation

Images are first compressed using Two-Dimensional Discrete Cosine Transform (2D-DCT) to reduce data size while preserving essential visual information. The compressed data is then transmitted through Quadrature Phase Shift Keying (QPSK) modulation and Additive White Gaussian Noise (AWGN) channel coding, which provides robust digital communication capabilities. After transmission, the Inverse Discrete Cosine Transform (IDCT) reconstructs the original image from the compressed data. This approach works effectively with any image format. Implementation typically involves using MATLAB's dct2() function for compression, qpskmod() for modulation, awgn() function for channel simulation, and idct2() for reconstruction. By adjusting compression parameters (such as quantization levels) and coding schemes, developers can optimize both compression ratios and transmission quality based on specific application requirements.

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