Baseband Communication Transmission System Simulation for Speech Signals Based on DPCM Encoding and Cyclic Codes

In this communications principles course design project, we will explore the simulation of a speech signal baseband communication transmission system utilizing DPCM (Differential Pulse Code Modulation) encoding and cyclic code error correction. Throughout this process, we will conduct in-depth analysis of fundamental speech signal characteristics including frequency components, time-domain behavior, and amplitude variations, and learn how to convert these analog features into digital signals for subsequent processing. The implementation will involve developing algorithms to extract speech features and convert them to digital format using sampling and quantization techniques. We will also examine the operational principles of DPCM encoding, which reduces redundancy by transmitting difference signals rather than absolute values, and cyclic codes, which provide robust error detection and correction capabilities through polynomial-based encoding schemes. The project will demonstrate how these techniques are applied in digital signal processing systems to improve transmission efficiency and reliability. Furthermore, we will investigate MATLAB-based simulation methodologies, including the development of code modules for DPCM encoding/decoding, cyclic code generation/verification, and communication channel modeling. The simulation results will be systematically analyzed and evaluated using performance metrics such as signal-to-noise ratio (SNR), bit error rate (BER), and spectral efficiency to gain comprehensive understanding of the system's performance characteristics and trade-offs.