References: Multirate Signal Processing and Compression

1. Multirate digital signal processing - Wikipedia - Introduces decimation, interpolation, sample-rate conversion, aliasing control, polyphase structures, and computational advantages.

2. Data compression - Wikipedia - Surveys lossless and lossy compression, entropy coding, transform coding, rate-distortion tradeoffs, and media applications.

3. Filter bank - Wikipedia - Explains analysis and synthesis banks, subbands, perfect reconstruction, quadrature mirror filters, and compression applications.

4. Multirate Digital Signal Processing - Ronald E. Crochiere and Lawrence R. Rabiner - Prentice Hall - Crochiere and Rabiner established the canonical interpolation-decimation diagrams and efficient polyphase implementation framework.

5. Introduction to Data Compression (5th Edition) - Khalid Sayood - Morgan Kaufmann - Sayood’s progressive source-model-to-codeword examples make entropy, dictionaries, transforms, quantization, and rate-distortion relationships concrete.

6. Multirate Filter Banks - Spectral Audio Signal Processing - Develops polyphase decomposition, noble identities, perfect reconstruction, FFT banks, and audio-coding connections.

7. The Sampling Theorem - DSP Guide - Includes practical explanations of multirate conversion, anti-alias filtering, oversampling, and interpolation within data conversion.

8. Discrete Wavelet Transform - PyWavelets - Demonstrates multilevel subband decomposition and reconstruction used in wavelet compression and denoising workflows.

9. Spectral Audio Signal Processing - Julius O. Smith III - Covers multirate polyphase and wavelet filter banks, perfect reconstruction, perceptual audio coding, and efficient implementations.

10. SciPy Signal Processing - SciPy - Documents decimation, resampling, polyphase processing, filtering, and spectral operations for executable multirate experiments.