DCT Transformation and Run-Length Encoding/Decoding Program

Below is a detailed introduction to the MATLAB-implemented DCT transformation and run-length encoding/decoding program: DCT (Discrete Cosine Transform) represents a fundamental signal processing technique that converts signals from the time domain to the frequency domain. This transformation finds extensive applications in image/audio compression, data hiding, and encryption domains. The MATLAB-coded DCT transformation program enables efficient frequency-domain representation of signals through built-in functions like dct() and idct(), which implement the type-II DCT algorithm commonly used in JPEG compression standards. Run-length encoding serves as a lossless data compression technique that exploits consecutively repeated data sequences to reduce storage requirements. The MATLAB-implemented run-length encoding/decoding program achieves effective data compression/decompression through algorithmic approaches that detect sequential repetitions and replace them with count-value pairs. This implementation typically involves vectorized operations for efficient sequence detection and reconstruction processes. The above introduction covers the MATLAB-based DCT transformation and run-length encoding/decoding program. We hope this technical information proves valuable for your signal processing applications!