In　this　paper,　an　effective　speech　coder　that　is　based　on　a　sparse　representation　of　speech　by　exploiting　the　strong　dependencies　between　adjacent　pitch　cycles　is　proposed.　In　the　proposed　coder,　a　pitch-synchronous　processing　that　consists　of　pitch　warping　and　a　two-stage　transformation　is　used　to　achieve　a　compact　representation　of　the　voiced　speech.　Power　spectral　density　preserving　quantization　(PSD-PQ)　is　adopted　for　quantizing　the　transform　coefficients.　The　result　is　a　coder　that　is　efficient　over　a　wide　range　of　bit　rates:　it　approaches　perfect　reconstruction　with　increasing　rate,　and　has　a　parametric　signal　representation　at　low　rates.　Both　objective　PESQ　results　and　subjective　A/B　listening　tests　show　that　the　proposed　coder　outperforms　the　ITU-T　G.722.1　codec.　©　2013　IEEE.